BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Historical Network Research - ECPv4.8.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Historical Network Research X-ORIGINAL-URL: X-WR-CALDESC:Events for Historical Network Research BEGIN:VEVENT DTSTART;VALUE=DATE:20190520 DTEND;VALUE=DATE:20190523 DTSTAMP:20190421T122215 CREATED:20181217T163210Z LAST-MODIFIED:20181217T163210Z SUMMARY:Workshop on Humanities in the Semantic Web - WHiSe III DESCRIPTION:\n\n\n\nCo-located with the 2nd Conference on Language\, Data and Knowledge (LDK 2019) – Leipzig\, Germany\, May 20-22 2019\n\n\n\n\n\n\n\n\nWHiSe III is a symposium aimed at strengthening communication between scholars in the Digital Humanities and Semantic Web communities and discussing unthought-of opportunities arising from the research problems of the former. Its best-of-both-worlds format will accommodate the practices of scholarly dialogue in both fields by inviting visions\, real systems and debate. \nWHiSe is co-located with the 2nd Conference on Language\, Data and Knowledge (LDK) \n\n \n\nImportant Dates\n\n\nSubmission deadline: Tuesday\, March 5\, 2019*\nNotification to authors: Tuesday\, April 2\, 2019*\nCamera-ready paper due: Wednesday\, April 17\, 2019*\nWorkshop day: May 20\, 21 or 22 (TBC)\, 2019\n\n(*) All deadlines are 23:59 Hawaii time \n\n\n\nCall for papers [plain text version]\nThe emergence of tractable and affordable methods for the collection\, enhancement and analysis of data generated en masse has helped shape several research fields\, such as social sciences\, into structured research fields. Digital Humanities are enjoying such a transformation to the point that their very boundaries and methodological foundations are being called into question. The quality and relevance of findings obtained from the thorough\, human-driven analysis of a few sources\, compared to unsupervised large-scale analytics on masses of data\, is a fervent ongoing debate; and yet\, the latter cannot prescind from a conscious effort in shaping the world to which the analyses need to relate. This has largely taken the form of knowledge modelling efforts\, from which many ontologies\, controlled vocabularies and conceptual models like CIDOC-CRM\, the Europeana Data Model and FRBRoo have arisen. However\, other fields traditionally less reliant on machine-readable data have seen the emergence of ‘ecological’ communities with an approach to the Web of Data. Recent examples include the 2014 ISAW papers for the ancient world\, Transforming Musicology for music and musicology and Linked Pasts for history and archaeology. \nAs these emerging research networks deal with the reality of the Semantic Web and the ever-growing Linked Data Cloud\, the WHiSe workshop series was conceived from a reflection on the extent to which the Semantic Web community is serving the needs of historians\, philologists\, cultural critics\, musicologists and other humanists that generally: (1) cannot rely on structured data generated en masse through social networks or online media platforms; (2) deal with vague\, fragmentary\, uncertain\, contradictory and yet still valuable evidence that poses a challenge even to Artificial Intelligence research per se; (3) have good reason to value the systematic investigation of a few sources over the (semi-)automated analytical findings on masses of content. WHiSe addresses this need by promoting dialogue between humanists who employ or are contemplating Semantic Web technologies\, and Semantic Web scholars providing accounts of applied research in the Humanities. It will also be a forum for raising opportunities to explore novel research problems that can be relevant to both communities. \nWHiSe III welcomes original research contributions crossing Humanities and the Semantic Web. Scholars who have conducted research or developed impactful applications are invited to submit full papers (12 pages\, Springer LNCS typeset) with appropriately evaluated contributions. WHiSe III also welcomes short vision or position papers (6 pages\, Springer LNCS typeset) on novel challenges or approaches to existing problems. \nTopics include\, but are not limited to: \n\nKnowledge base generation from classical texts\nLinking data within and across gazetteers\nSemantic enrichment of data from historical records and biographies\nEcosystems and process descriptions for linking data in the humanities\nLinked Digital Libraries and semantic archives\nOntology adoption in specific domains in the humanities\nKnowledge graph construction and exploitation within and across domains\nComputational methods for the prosopography of historical figures\nCapturing\, modelling and reasoning on musical data\nThe role of ontologies and controlled vocabularies in data preservation\nCriticism of Semantic Web standards from the point of view of humanities scholarship\nEthical issues in using Semantic Web and Linked Data and their impact on the openness of traditional research data\nNotions on integrating digital humanities and data science\nKnowledge bottlenecks and practical difficulties in using Semantic Web technologies by humanities scholars\nUtopian / dystopian visions of the Semantic Web of the future\n\nSubmissions in all the categories mentioned above (both full and short papers) will be peer-reviewed by acknowledged researchers familiar with both scientific communities. Accepted papers will be published as online proceedings courtesy of \n\n\n \n\nSubmission Instructions\n\nPapers will be evaluated according to their significance\, originality\, technical content\, style\, clarity\, and relevance to the workshop. \nWe welcome the following types of contributions: \n\nFull papers (up to 12 pages)\nShort papers (up to 6 pages)\n\nAll submissions must be PDF documents written in English and formatted according to LNCS instructions for authors. \nPage limits are inclusive of references and appendices\, if any. Papers are to be submitted through the EasyChair Conference Management System. Please note that paper submissions to WHiSe III are not anonymous. \nAt least one author of each accepted paper must register for the workshop\, in order to present the paper there\, and to the conference. For further instructions please refer to the LDK 2019 page. \nPrior Publication and Multiple Submissions\nEvery submitted paper must represent original and unpublished work: it must not be under review or accepted elsewhere and there must be a significantly clear element of novelty distinguishing a submitted paper from any other prior publication or current submission. See also the guidelines of the LDK 2019 call for papers. \n\n\n \n\nWorkshop Program\n\nTo come later \n\n\n\n \n\nPeople\nOrganizing Committee\n\nAlessandro Adamou\, Data Science Institute\, NUI Galway\nMarieke van Erp – KNAW Humanities Cluster\nAlbert Meroño Peñuela – Vrije Universiteit Amsterdam\n\nSteering Committee\n\nEnrico Daga – The Open University\nLeif Isaksen – University of Exeter\n\nContact email: \nProgram Committee\n\nElton Barker\, The Open University\nFrancesca Benatti\, The Open University\nVictor de Boer\, Vrije Universiteit Amsterdam\nEnrico Daga\, The Open University\nRossana Damiano\, University of Turin\nMarilena Daquino\, Alma Mater Studiorum Università di Bologna\nPaula Granados-Garcia\, The Open University\nEero Hyvönen\, Aalto University and University of Helsinki\nIoanna Kyvernitou\, National University of Ireland Galway\nPaul Mulholland\, The Open University\nKevin Page\, University of Oxford\nSilvio Peroni\, Alma Mater Studiorum Università di Bologna\nRainer Simon\, Austrian Institute of Technology\nKonstantin Todorov\, University of Montpellier\nFrancesca Tomasi\, Alma Mater Studiorum Università di Bologna\nFrançois Vignale\, Université du Maine\n\nMore to be confirmed \n\n \n\nProceedings\nTo come after the workshop… \n\n\n\n\n URL: END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC+0:20190522T080000 DTEND;TZID=UTC+0:20190525T170000 DTSTAMP:20190421T122215 CREATED:20190228T062529Z LAST-MODIFIED:20190228T062529Z SUMMARY:POLNET + Network Models of Culture and Discourse May (22-23) 24-25 University of Konstanz\, Germany DESCRIPTION:This year´s summer school on advanced social network analysis will be dedicated to network models of culture and discourse. The nexus between words and networks offers new possibilities to understand the impact of culture and language use in social networks and vice versa. Scholars use a variety of different approaches\, qualitative content based (e.g. QSA qualitative structural analysis\, content analysis)\, quantitative analysis (e.g. automated content analysis\, text mining)\, or a combination of both (e.g. DNA discourse network analysis). In this advanced seminar\, we introduce some of these methods in lectures combined with hands-on-tutorials. \n\nNetwork models of culture and discourse from sociological and political science perspectives will be the focus of the upcoming summer school Polnet Plus\, which will be organized by Boris Holzer (Department of Sociology) and Volker Schneider (Department of Politics and Public Administration) at the University of Konstanz at May 24 and 25\, 2019. \n\nVarious sessions will introduce the participants into the topic of the collection and analysis of network models of culture and discourse. The summer school includes a keynote speech by Prof. Alexander Mehler from the Goethe University Frankfurt am Main\, where he is a professor for Computational Humanities / Text Technology and heads the Text Technology Lab as part of the Institute of Informatics. \n\nIn addition\, we offer a pre-summer school refresher Network Analysis with R\, starting from Wednesday\, May 22 until Thursday\, May 23 (see timetable for newcomers and participants with-out basic knowledge in R and Social Network Analysis. \n\nThis year’s POLNET + faculty team includes Felix Bossner1\, Achim Edelmann2\, Boris Holzer1\, Ines Imbert 5\, Lukáš Lehotský3\, Jürgen Lerner1\, Melanie Nagel1\, Petr Ocelík3\, Adrian Rinscheid4\, Keiichi Satoh1 and Volker Schneider1. \n\n[ 1 University of Konstanz; 2 University of Bern; 3 Masaryk University; 4 University of St. Gallen; 5 EIfER European Institute for Energy Research EDF-KIT\, Karlsruhe] \n\nPlease do not hesitate to contact Christiane Richter ( with any further questions or to register your interest in attending the summer school until April 30. \n\nYou can also access additional information on \n\nWe are looking forward to welcoming you to Konstanz in May 2019. \n\nYours sincerely\, \n\nBoris Holzer Volker Schneider \n URL: END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190527 DTEND;VALUE=DATE:20190529 DTSTAMP:20190421T122215 CREATED:20190109T171223Z LAST-MODIFIED:20190109T171223Z SUMMARY:13th HNR Workshop on Time and Space\, 27-8 May 2019 in Mainz DESCRIPTION:From the trade networks of the bronze age to the kinship ties of medieval ruling houses\, from the exchange of scientific knowledge through letters to the prevention of the spread of infectious diseases\, people throughout the ages have been acutely aware of how their integration or exclusion from networks could impact their lives. Yet only with the invention of digital tools has it become possible to reconstruct\, visualize\, and analyze these relational structures on an unprecedented scale. They have transformed the way we think about groups and societies\, space and culture. Not only economists\, political scientists or researchers in literary and cultural studies but also historians and archaeologists have adopted the concept of “networks” to study certain forms of information as part of a broader whole. Rather than looking at data in isolation\, the focus is shifting to the links that unite different entities\, and to the structures that emerge from their connections. Especially for archaeologists and historians\, who are often dealing with large amounts of data that stand in a complex relation to each other – be it objects\, sites or people – network theory and formal network analysis can be very powerful tools for study. \nParticular constraints\, however\, surround the use of network-theoretic methods in the historical sciences. The analysis usually deals with fragmentary datasets\, examines data of different types (sites\, objects\, landscapes\, institutions)\, or unites data from different regions or periods of time within one study. Finding a common denominator that unites disparate and sometimes problematic datasets within one network that sustains a valid historical hypothesis can be a challenge. It is not always clear which analytical tools\, e.g.\, different centrality measures\, can be applied to gain a deeper understanding of a dataset and what exactly their use implies for the conceptional framework of the research in question. To which kind of historical questions can we find answers through a formal network analysis? Is a more fluid approach dealing with metaphorical networks more useful? Which new perspectives on existing data can network research open up to different disciplines? In order to provide prospective and more advanced network scholars and students in the historical sciences with a sound background and solid arguments for structuring a network-related hypothesis\, a two-day workshop is organized to: \n\nprovide basic training (day 1)\nprovide in-depth discussion on the application of network theory for specific datasets and research questions (day 2)\n\nThe first day of the workshop aims at novices and prospective students in network analysis in the historical sciences and archaeology (no previous knowledge required). Participants can bring own research ideas to the workshop to receive feedback\, but this is not obligatory. The second day of the workshop is devoted to in-depth theoretical discussion for advanced scholars\, who already have an understanding of network concepts and are applying it to their own case studies. A general discussion will conclude the exchange within small groups focusing on specific case studies and central issues in historical and archaeological network research. Students participating in the first day are welcome to attend the second day of the workshop to broaden their understanding. There are three points of focus for discussion on the second workshop day: \n\nObjects as Actors\nFragmentary data – fragmentary networks? Implications of source criticism for archaeological and historical network analysis\nOne theory fits them all? Critical reflections on theorizing about social networks across time and space\n\nParticipation in the workshop is free of charge; however\, participants are required to provide for their accommodation and travel. \nThe number of available places in the workshop is limited. To be considered for participation\, prospective participants should send an abstract of their project or a statement concerning their motivation of participation (about 300 words) to the workshop email address: \nSubmissions are due February 28th. \nAs the aim of this workshop is to initiate a critical discourse across disciplines\, we encourage all participants to contact us if you would like to propose further topics for discussion on the second workshop day. \nTo download the CfP click here: CfP NATS 2019 Mainz. \n URL: LOCATION:ADW Mainz END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190618 DTEND;VALUE=DATE:20190624 DTSTAMP:20190421T122215 CREATED:20181207T115531Z LAST-MODIFIED:20181207T115531Z SUMMARY:Sunbelt Conference DESCRIPTION: URL: LOCATION:Montreal END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190625 DTEND;VALUE=DATE:20190630 DTSTAMP:20190421T122215 CREATED:20181202T135829Z LAST-MODIFIED:20181202T135829Z SUMMARY:"Network Analysis\, Computational Modelling and Simulation in the Study of Religions" at EASR in Tartu/Finland DESCRIPTION:Dear colleagues\, \n  \nat the EASR 2019 conference\, to be held in Tartu\, Estonia\, 25-29 June 2019 (see\, Aleš Chalupa and myself organize an open panel entitled “Network Analysis\, Computational Modelling and Simulation in the Study of Religions”\, which focuses on demonstrating the potential of these methods and discussing them. In continuation with having hosted\, in September 2018\, the annual conference on “Historical Network Research” ( at the Department for the Study of Religions\, Masaryk University\, Brno\, we want to help developing these approaches within the European study of religions. \n  \nWe welcome proposals for papers discussing any historical period and geographical area. Topics might include\, but are not limited to: \n  \n* Modelling of the social dynamics of religious groups and interactions between religious communities \n  \n* Modelling of the spread of religious traditions on networks (transportation\, commercial\, social\, ethnic etc.) \n  \n* Agent-based modelling of the transmission of different types of ritual in a diachronic perspective \n  \n* Extraction of networks from texts\, computer-assisted text mining \n  \n* Social network analysis of actors in specific historical events important for the history of religions \n  \n* Usability of conceptual and methodological frameworks of complex adaptive system science towards the study of religions \n  \n* Inter- and transdisciplinarity in the study of religions concerning computational methods \n  \n* Preparing “computational data”; tools and methods for creating and managing datasets and databases aiding research into religions \n  \n* Comparison of close and distant reading in the study of religions \n  \n  \nWe are looking forward to receiving your paper proposals! The submission should be made through the online registration at the official website of the conference as a submission of an individual paper\, where you choose “Network Analysis\, Computational Modelling and Simulation in the Study of Religions” as the panel in which you propose the paper. General information about the submission of individual papers can be found here: . The submission deadline is 15 December 2018. Review results will be announced on 15 January 2019. Abstracts should be no more than 300 words long. If you have any queries concerning the panel\, please get in touch with me at . \n  \nThanks for considering our panel and/or forwarding it to those who could be interested in participating\, and hopefully see many of you in Tartu in June 2019! \n  \nWith all best wishes\, \nDavid Zbíral. \n URL: LOCATION:Tartu\, Finland END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190715 DTEND;VALUE=DATE:20190720 DTSTAMP:20190421T122215 CREATED:20190131T130830Z LAST-MODIFIED:20190131T130830Z SUMMARY:CfP: Big Data Module II: Introduction to Social Network Science with Python DESCRIPTION:\nEvent homepage\n\nIn the wake of the digital revolution\, masses of Digital Behavioral Data (DBD) are becoming available for social research. Typically\, this data has a relational dimension. As a consequence\, network analysis is becoming increasingly important as a social science method. The social networks constructed from DBD\, however\, are much larger than the small-scale structures classically studied in the past. They give rise to higher-order structures and functionalities (complexity) that spring from lower-order processes. Plus\, DBD typically allows for the analysis of the dynamics of these so-called complex networks. In this course\, we present a basic understanding of social relations\, the structures and dynamics which they collectively self-organize into\, and how network methods and programming in Python can be deployed in practical application scenarios. Following an introduction to data formats\, network construction\, and plotting\, the first day covers node-level measures such as centrality. The second day deals with community detection and stochastic blockmodeling\, the main classes of methods at the meso-scale of analysis. The third day focuses on macro-scale structures and dynamics. It covers the small-world and scale-free properties that make networks complex and why these are relevant for the social sciences. The fourth day is dedicated to simulations of social mechanisms (network generation) and dynamics on networks. The last day is reserved for group projects. The program plan alternates between demonstrations and exercises. The former presents the theoretical and technical background of network analysis\, while the latter allows participants to apply acquired knowledge with code directly.\n\n\n\n\nParticipants will obtain profound knowledge of relational methods integrated with social theory. The course includes material typically taught in Social Network Analysis classes but goes beyond it regarding the topic of complexity. Hence\, it is aimed at scholars who are interested in the potential of BDB and how networks can be analyzed in an interdisciplinary way. Throughout the course\, the Python libraries are used that are most suited for the respective analysis task. For example\, community detection will be done with networkx while graph-tool is the library of choice for stochastic blockmodeling. To ease access to network analysis\, well-known\, also small\, datasets are used. Participants are strongly encouraged to bring their own datasets to be analyzed in group projects or during the course.\n\n\n\n\nParticipants should be willing to study algorithmic approaches on abstract and applied levels. An affinity to computational approaches to research as well as a basic understanding of statistics are highly recommended. Previous knowledge on network analysis is helpful but not necessary. Previous knowledge on programming in Python or another programming language (like R\, Java) is advantageous but not necessary to follow the coursework. Big Data Module I offers – besides an introduction to data science – a general introduction to data handling that is also beneficial for network analysis\, but taking that course is not necessary for this one. To ensure a common starting level between participants\, we expect attendants to familiarize themselves with the most basic concepts of Python such as variables and tables via provided learning materials beforehand. A mini refreshment of basic Python commands will be offered at the beginning of the course. Please note that participants have to bring their own laptop for this course. All utilized software is available without cost as open source under Windows\, MacOS\, and Linux systems. Detailed installation instructions for the suggested development environments will be provided before the start of the course.\n\n\n\n URL: LOCATION:Cologne END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190729 DTEND;VALUE=DATE:20190803 DTSTAMP:20190421T122215 CREATED:20181002T145538Z LAST-MODIFIED:20181002T145538Z SUMMARY:Network Analysis + Digital Art History A Getty Advanced Workshop DESCRIPTION:\n\n\n\n\nNetwork Analysis + Digital Art History\nA Getty Advanced Workshop\n\n\n\n\n\n\n\n\nCall for Participation\n\n\nWorkshop Schedule\nOne-week convening\, July 29–August 2\, 2019\nMonthly virtual convenings\, Fall–Spring 2019–2020\nTwo-week convening\, June 22–July 3\, 2020 \n\nThe NA+DAH Workshop is a Getty Foundation-supported event that will bring together art historians\, network scientists\, and digital humanists to advance research at the intersection of these fields. \nDirected by Alison Langmead (University of Pittsburgh)\, Anne Helmreich (Texas Christian University)\, and Scott B. Weingart (Carnegie Mellon University)—all scholars engaged with digital art history and network analysis—the Network Analysis + Digital Art History Workshop will unfold over a full year and will be framed by two face-to-face convenings held at the University of Pittsburgh\, a schedule that will allow participants to learn advanced digital methods and project management skills while fostering a close-knit interdisciplinary community. By the end of the Workshop\, participants will have the expertise and support structure needed to conduct sophisticated research and build advanced projects at the intersection of network analysis and art history. \nThe NA+DAH workshop will welcome up to eight project teams (representing art historical\, technical\, and analytic expertise) for a series of in-person and video convenings\, with the expectation that teams will also be working and collaborating outside the convening framework to develop and advance their research projects. It is expected that this Getty Advanced Topics in Digital Art History Workshop will lead to a significant body of research and we anticipate a potential edited volume or online repository to share its results. \nEvent Descriptions\nConvening 1: The week-long “Digital Art History + Network Science Institute” will take place from Monday\, July 29–Friday\, August 2\, 2019. During this Institute\, participating teams will engage with the grand challenges in digital art history and network analysis\, and propose and structure a year-long research agenda (guided by expert facilitators) that uses network analysis to advance art historical inquiry. Potential research topics include museum provenance\, exhibition histories\, stylistic similarities\, and the history of the art market. Teams should begin working on their data and approaches in advance of the event\, as the convening will focus on aligning data with project research agendas. Up to three members per team will be supported to attend this convening. \nBetween Summer 2019 and Summer 2020\, the teams will continue to advance their research agendas. Each project team will participate in monthly meetings\, convened virtually\, to check in on progress and identify further resources as needed. These virtual meetings and related support will be facilitated by a research assistant and augmented by the expertise of the leadership team. \nConvening 2: The two-week-long “Co-Working Institute in Art History + Network Science” will take place from Monday June 22–Friday\, July 3\, 2020. This event will include a rigorous daily agenda consisting of continued training opportunities focused on the exact needs of the teams and current problems in the field\, ample project work time\, and daily keynote lectures by interdisciplinary experts that offer a larger\, field-wide picture. Up to four members per team will be supported to attend this convening. \nTo Apply\nWe encourage scholars to apply who are either already engaged in digital art history and wish to work with network analytic approaches in more depth\, or who are engaged in network science and seek to understand better how their expertise might be applied to art historical problems. Early\, mid\, and later-career academic scholars are all welcome to apply\, as are teams that include art museum professionals\, librarians\, advanced graduate students\, and others. Teams of at least three that are already formed will receive priority consideration\, particularly those demonstrating a pre-existing breadth of technical and art historical expertise. Individual scholars with a project in mind\, but who are not yet affiliated with a team\, are encouraged to contact the workshop organizers ( early to seek assistance in finding potential collaborators with whom they can apply. \nMembers of the project teams (up to three participants for the 2019 Institute and four for the 2020 Co-Working Institute) will receive funding for travel to Pittsburgh\, lodging\, and a per diem rate for food. Additional team members may attend if self-funded. \nTo apply\, send a 500-word project proposal\, including a statement of the goals for the project\, with citations as appropriate (word count is exclusive of citations)\, as well as a brief description of the project team (no more than 300 words per person)\, their expertise(s)\, and a CV for each team member (including links to relevant previous or current digital projects) to Applications are due October 15\, 2018 and should be sent in PDF format only. \nOnce all the applications are reviewed\, those teams advancing for final consideration will be interviewed over video conferencing between November 5–16\, 2018. Acceptances will be sent by December 14\, 2018. \n\n\n\n\n\n URL: END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20190909 DTEND;VALUE=DATE:20190913 DTSTAMP:20190421T122215 CREATED:20190325T124516Z LAST-MODIFIED:20190325T124516Z SUMMARY:Networks and the study of the human past - EUSN 2019\, 9-12 September Zurich DESCRIPTION:Organized session at the 4th European Conference on Social Networks (EUSN 2019)\n9-12 September 2019\, Zurich\, Switzerland ( \n \nMost network research focuses on contemporary data and is presentist in orientation\, overlooking\nthe vast store of interesting data from the past. Over the last decades\, a substantial number of\nempirical studies have shown that both network theories and formal network methods can be\nproductively applied to (selected) bodies of historical and archaeological data. The aim of this\ninterdisciplinary session is to further extend the community of scholars in this field in Europe and\nbeyond by promoting contacts between the various disciplines that aim at making sense of past\nphenomena through methods and theories derived from network analysis and network science.\nWe are looking for papers exploring the challenges and potential posed by such network studies of\npast phenomena. Not exhaustive examples of such challenges and avenues include: incomplete and\nmissing data\, usually without the possibility to collect more data; big data analytics and\ntextual/semantic network analysis based on (fragmented) sources; material sources as proxy\nevidence for social phenomena; ability to explore long-term changes in past systems vs. the analysis\nof mid-term or short-term processes and the historicity of ties; etc.\nThe session invites contributions from researchers from various disciplines applying methods of\nformal network analysis and network science on the human past. We welcome submissions\nconcerning any period\, geographical area or topic. The authors may be archaeologists\, historians\,\nsocial scientists as well as scholars from other disciplines working with historical or archaeological data. \nTopics might include but are not limited to: \n\npast revolutions;\nmigration;\nindustrial revolution;\ndiffusion processes;\ntransitions from authoritarianism to democracy and back;\ntrade;\nkinship;\nwar;\nreligion and\nscience.\n\n \nTo be eligible\, the proposals should: \n\nAddress and clearly formulate research questions concerning past phenomena.\nCritically address issues related to the sources/materials/construction of data used.\nExplain why it is substantively interesting to consider their topic in formal network terms.\nElaborate what the added value of such a relational view is\, and what methodological and theoretical choices it implies.\n\nThe paper proposals for the session will be selected by an interdisciplinary committee with expertise in doing network analysis and network science in the fields of archaeology\, history\, sociology\, political science and religious studies. \nAbstract submission: \nThe deadline for submission is April 12. Please submit your abstract of up to 500 words through the link on the conference homepage: \nSession organizers: \nTom Brughmans (University of Oxford)\, Martin Stark (ILS\, Aachen)\, Ivo Veiga (Universidade Nova de Lisboa)\, Bernd Wurpts (University of Lucerne)\, David Zbíral (Masaryk University) \n URL: LOCATION:Zurich END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20191017 DTEND;VALUE=DATE:20191019 DTSTAMP:20190421T122215 CREATED:20181206T153334Z LAST-MODIFIED:20181206T153334Z SUMMARY:persons in historical networks (in French) DESCRIPTION:Dear all\,\nYou will find below the call for papers for the 5th French-speaking conference on networks in history (history being loosely defined as “the past” here\, archaeologists and colleagues in other disciplines are welcome). Passive understanding of French is sufficient (but necessary) to submit.\nAll the best\,\nCL.\nPS: If you think that having conferences in languages other than English is a problem\, please save us another public discussion of the topic on this list: the two points of view have already been expressed when I posted a similar call in the past. I think that we are all aware of the pros and cons.\n\n\n\n\nAppel à communications pour la Cinquième rencontre du groupe Res-Hist (Réseaux & Histoire) « La personne en question dans les réseaux »\nRennes\, 17-18 octobre 2019 \nCréé en 2013\, le groupe Res-Hist est un collectif destiné à favoriser les échanges scientifiques des historien·ne·s travaillant sur les réseaux. Il organise des rencontres qui réunissent\, autour d’une thématique donnée\, les chercheur·se·s qui mettent en œuvre des analyses de réseaux dans leurs travaux\, quels que soient les périodes étudiées\, les objets d’analyse\, l’état d’avancement des travaux ou le niveau d’études. Les précédentes rencontres à Nice (en 2013 puis en 2016)\, Toulouse (2014) et Paris (2015) ont permis à des spécialistes venus de différents horizons de se rencontrer et d’échanger\, à la fois en termes épistémologiques\, méthodologiques et techniques.\nDans le sillage de ces premières manifestations\, nous organisons une cinquième rencontre du groupe Res-Hist les 17 et 18 octobre 2019 à l’Université Rennes 2\, en partenariat avec la MSHB et l’URFIST\, trois institutions qui valorisent les recherches sur les humanités numériques. Notre initiative est également soutenue par le GDR Analyse de réseaux en Sciences humaines et sociales. Nous proposons que les contributeurs et contributrices de ces journées discutent une thématique précise : « La personne en question dans les réseaux ». Les travaux historiques qui mobilisent les techniques spécifiques d’analyse de réseaux envisagent en effet souvent dans leurs analyses des « personnes ». Dans la majorité de ces travaux\, ces personnes – comprises comme des individus – interviennent en tant qu’entités (réseaux de correspondance\, d’intellectuels et de savants\, de marchands\, d’évêques\, de nobles ou de paysans\, réseaux égocentrés)\, une démarche aujourd’hui intuitivement compréhensible par référence aux réseaux sociaux numériques (Facebook\, Twitter\, etc).\nDepuis quelques années toutefois\, certains types de recherche s’interrogent davantage sur l’usage historique que l’on peut faire des « personnes ». Depuis les travaux précurseurs de John Padgett sur les Médicis\, plusieurs historien·ne·s diluent ou dépassent en effet ces personnes\, en focalisant leur analyse sur des entités-groupes (familiaux\, religieux\, économiques\, associatifs) : les individus sont ainsi réduits à  représenter une entité plus globale\, que certain.e.s sociologues qualifient de « cercles sociaux ou collectifs » qui dépassent les relations interpersonnelles qui le forment. Dans une perspective prosopographique\, d’autres travaillent moins sur des « personnes » que sur des réseaux de « noms »\, de « titres » ou d’« attributs » qui renvoient certes parfois à des individus précis\, mais qui ne peuvent être identifiés qu’en passant par les occurrences\, c’est-à-dire par des réseaux de mots. Dans certains de ces travaux\, consacrés à des sociétés polythéistes\, les noms ne renvoient d’ailleurs pas toujours à des individus\, mais à des puissances divines formant un système que le réseau permet d’analyser (réseaux de dieux et déesses scandinaves ou réseaux d’épithètes divines largement répandues dans le monde antique). Dans d’autres études\, qui portent sur les situations de clandestinité à la période contemporaine\, on peut s’interroger sur la manière adéquate d’associer ou de distinguer l’individu et son nom de couverture pour rendre compte au mieux des liens sociaux vécus ou supposés par les autorités. Enfin\, dans certains travaux plus spatialisés\, les personnes ne sont plus des entités\, mais interviennent en tant que liens\, par exemple dans les flux entre deux lieux (flux d’intellectuels\, de marchands ou d’ambassadeurs).\nNous souhaiterions que les intervenant.e.s s’interrogent ainsi sur l’usage qu’ils/elles font des « personnes » dans les réseaux qu’ils/elles reconstituent et analysent. Quelle place leur réservent-ils/elles\, en tant qu’entités ou liens ? L’analyse se situe-t-elle au niveau de la personne/individu\, la dépasse-t-elle parfois pour s’intéresser plutôt à des « cercles sociaux » ? Qu’est-ce qui justifie de choisir un autre niveau d’analyse : en quoi est-ce un gain et/ou une perte d’informations ? Comment mettre en œuvre concrètement – c’est-à-dire d’un point de vue méthodologique et pratique\, grâce à certains outils – la prise en compte d’entités-personnes et d’entités-cercles sociaux ? Dans les enquêtes prosopographiques ou dans les études des relations de parenté à partir des noms (A\, fils de B)\, quels sont les arguments qui autorisent à passer des occurrences à l’individu sur le plan méthodologique ? Quand on traite les sources enfin\, comment tenir compte des identités personnelles duales\, associant un nom de naissance et un nom choisi au cours de la vie – que l’on songe aux changements de noms des candidats à la cléricature dans le christianisme\, aux résistant.e.s souvent évoqué.e.s à travers un pseudonyme\, ou encore aux personnes contraintes à changer d’identité pour échapper à la mort ?\nCe sont ces interrogations\, et sans doute beaucoup d’autres\, que soulève le thème de « la personne en question dans les réseaux ». Il s’agit en effet par là de poser plus largement le problème de l’accès à l’individu à travers des sources distinctes et des époques diverses\, en valorisant les réponses que l’analyse de réseaux et les approches quantitatives peuvent y apporter. En définitive\, le thème soulève la question fondamentale de la manière dont on pense\, à travers un réseau\, certaines catégories\, qu’elles soient sociales\, économiques\, juridiques\, onomastiques\, familiales\, etc.\, en articulation avec les types documentaires auxquels on est confronté.e. \nNous invitons donc les qui mettent à profit la notion de réseaux dans leurs recherches à participer à ces rencontres. À côté de l’objet de l’étude et des résultats obtenus\, il s’agit de placer au cœur de la réflexion la manière dont ils/elles traitent les personnes dans leurs analyses (en tant qu’entités – globales ou pas –\, en tant que liens\, etc.\,). Les propositions d’intervenant.e.s des précédentes rencontres Res-Hist tout comme celles de qui n’y ont pas assisté sont les bienvenues.\nSelon la formule consacrée lors des précédentes journées Res-Hist\, les intervenants fourniront un texte (déjà publié ou non) qui sera mis en ligne à l’avance et présenteront leurs propos oralement en 20 minutes maximum\, qui seront suivies par 30 minutes de débat et d’échange avec la salle. Des présentations par des invité.e.s et des ateliers de formation à l’analyse de réseaux et à ses logiciels seront également proposés avant les rencontres.\nLes propositions de communication\, d’une longueur d’une page et accompagnées des nom\, statut et adresse mail\, devront être adressées avant le 31 mars 2019 par courriel à Karine Karila-Cohen ( et à Isabelle Rosé ( Le résultat de la sélection sera communiqué à la fin du mois de mai 2019\, après examen par le conseil scientifique. Les textes présentés seront fournis avant le 1er  septembre 2019. L’organisation prendra en charge une à deux nuitées\, dans certains cas\, et la plupart des repas au cours de la rencontre. Les frais de transport sont à la charge des intervenant.e.s ou de leur laboratoire.\nCette initiative est possible grâce au soutien du LAHM-CReAAH (Université Rennes 2 / UMR 6566)\, de Tempora (Université Rennes 2)\, de l’UFR Sciences sociales et l’Université Rennes 2\, de l’URFIST\, de la MSHB et du GDR CNRS Analyse de réseaux en SHS. \nComité scientifique\nL. Beauguitte (CNRS-GDR Analyse de réseaux en SHS)\nP.-Y. Beaurepaire (Université Côte d’Azur\, CMMC)\nM. Gasperoni (CNRS-Centre Roland Mousnier)\nJ. M. Imízcoz (Universidad del País Vasco)\nK. Karila-Cohen (Université Rennes 2\, Lahm-CReAAH\, UMR 6566)\nC. Lemercier (CNRS-Sciences Po Paris)\nS. Marzagalli (Université Côte d’Azur\, CMMC)\nI. Rosé (Université Rennes 2\, Tempora)\nL. Van Hoof (Université de Gand) \nComité d’organisation\nKarine Karila-Cohen\, Université Rennes 2\, LAHM-CReAAH (UMR 6566)\nIsabelle Rosé\, Université Rennes 2\, Tempora (EA 7468)\nAudrey Colloc\, Université Rennes 2\, Gestion/secrétariat de Tempora (EA 7468)\nAlison Tribodet\, Université Rennes 2\, secrétariat de la cellule recherche pour le LAHM (UMR 6566) \n\n\n URL: LOCATION:Rennes END:VEVENT END:VCALENDAR