Programme and Abstracts of the International Conference Networks in the Global World 2014 Bridging Theory and Method: American, European, and Russian Studies St. Petersburg 2014 CONTENTS INTERNATIONAL SUBMISSIONS AND PRESENTATIONS 4 CONFERENCE CONCEPT 5 PROGRAM AND LOCAL ORGANIZING COMMITTEES 6 KEYNOTE AND INVITED SPEAKERS 7 CONFERENCE SCHEDULE 11 VENUE PLAN 12 DETAILED PROGRAMME 15 KEYNOTE SPEECHES AND INVITED TALKS 19 WORKSHOPS & SEMINAR 23 PAJEK FOR BEGINNERS: FROM DATA TO MEASURES AND VISUALIZATIONS 23 THE BASICS OF SOCIAL NETWORK ANALYSIS WITH UCINET 23 ANALYZING SOCIAL MEDIA NETWORKS WITH NODEXL 24 EXPONENTIAL RANDOM GRAPH (P*) MODELING AND NETWORK DYNAMICS 25 SEMINAR: HOW CAN NETWORK ANALYSIS BE USED BY GLOBALLY OPERATING PRACTITIONERS? 25 SESSIONS 27 NETWORKS IN SCIENCE, TECHNOLOGY, AND INNOVATION 27 WORDS AND NETWORKS 31 NETWORK PERSPECTIVES ON KNOWLEDGE, COMMUNICATION, AND CULTURE 35 NETWORK ANALYSIS OF POLITICAL AND POLICY-MAKING DOMAINS 43 SOCIAL MOVEMENTS AND COLLECTIVE ACTION AS NETWORK PHENOMENA 49 PRACTICAL INFORMATION 53 3 INTERNATIONAL SUBMISSIONS INTERNATIONAL PRESENTATIONS 4 CONFERENCE CONCEPT The primary goal of the NetGloW conference series is to bring together networks researchers from around the globe, to unite the efforts of various scientific disciplines in response to the key challenges faced by network studies today, and to exchange local research results – thus allowing an analysis of global processes. It is also crucial for us to support junior researchers’ orientation in the complex landscape of network science, and to encourage applications of network analysis by practitioners. The first NetGloW conference, subtitled “Structural Transformations in Europe, the US and Russia”, took place in St. Petersburg on June 22-24 2012 and brought together more than 150 scientists, political practitioners and business representatives from all around the world. The conference bore a pronounced interdisciplinary character: involving sociologists, philosophers, culture researchers, management specialists and economists. All were responding to the challenges created by structural transformations in the US, Russia and Europe, transformations which are themselves catalyzed by the growing importance of networks in the present day world. The discussions were focused on knowledge and innovation networks, academic networks, networks in policy and culture, as well as networks in virtual space. The idea of the 2014 event is to discuss the key current issues and problems of linking theoretical and methodological developments in network analysis. Moving from theory to methods and applications one can consider networks as a useful metaphor, providing plenty of opportunities for theoretical speculations, many of which are very difficult to operationalize. Graph theory allows analysts to build various theoretical models, yet those models are not always suitable for the theoretical design. Reliable and relevant network data are either difficult to obtain or – in the case of Big Data – hard to screen and handle. Moving reversely from methods to theorizing, it can be seen that the complex mathematical core of network analysis methods and their applications are difficult to use for theory developers who often have no mathematical background. Network data collected in numerous fields of application for network research, as well as usage of the existing network analysis techniques and network metrics calculation, do not always provide clear evidence for grounded theoretical generalizations. This is particularly the case for the most intensely developing areas of network research, like communication and knowledge networks, sociosemantic networks, online networks, culture and identity networks, science and technology networks, organizational and innovation networks, economic networks, policy networks, civil society and social movement networks. These rapidly growing thematic fields of network studies experience a gap between the theoretical ideas they generate, and the sophisticated analytical methodology that is being produced by network analysts. Thus, there is a need for thorough reflection on the process of relating theories to methods. Which methods in network analysis should be used to test certain theoretical ideas; how should specific metrics be interpreted with regard to theoretical constructs developed in the field; which data should be considered when dealing with particular theoretical concepts? – These are the questions NetGloW’14 conference sets out to answer. Deriving from this work, it is crucial to support students and practitioners in selecting proper tools and techniques when they apply network analysis in their areas of studies and practice. 5 PROGRAM COMMITTEE Jana Diesner – University of Illinois at Urbana-Champaign, USA Loet Leydesdorff– University of Amsterdam, Netherlands Thomas Valente – University of Southern California, USA Mario Diani – University of Trento, Italy Wouter de Nooy – University of Amsterdam, Netherlands Johanne Saint-Charles – University of Québec at Montreal, Canada Marc Smith – Connected Action Consulting Group, USA LOCAL ORGANIZING COMMITTEE Nikita Basov – St. Petersburg State University, Russia Vera Minina – St. Petersburg State University, Russia Alexandra Nenko – NRU Higher School of Economics – St. Petersburg, Russia Tetiana Kostiuchenko – National University of Kyiv-Mohyla Academy, Ukraine Elena Belokurova – European University at St. Petersburg, Russia Anisya Khokhlova – St. Petersburg State University, Russia 6 KEYNOTE AND INVITED SPEAKERS JANA DIESNER University of Illinois at Urbana-Champaign, USA Jana Diesner is an Assistant Professor at the iSchool (a.k.a. Graduate School of Library and Information Science) at the University of Illinois at Urbana- Champaign. Jana conducts research at the nexus of network science, natural language processing and machine learning. With her work, she aims to advance the understanding and computational analysis of the interplay and co-evolution of information and socio-technical networks. She develops and analyzes methods and technologies for extracting information about networks from text data and considering the substance of information for network analysis. In her empirical work, she studies networks from the business, science and geopolitical domain. She is particularly interested in covert information and covert networks. Jana earned her PhD from Carnegie Mellon University, School of Computer Science. She has taught the “Words to Networks” workshop over 20 times at various institutions, and also teaches courses on Social Computing, Network Analysis and Digital Humanities. For more information about Jana see http://people.lis.illinois.edu/~jdiesner/. LOET LEYDESDORFF University of Amsterdam, Netherlands Loet Leydesdorff (Ph.D. Sociology, M.A. Philosophy, and M.Sc. Biochemistry) is Professor Emeritus at the Amsterdam School of Communications Research (ASCoR) of the University of Amsterdam. He is Honorary Professor of the Science and Technology Policy Research Unit (SPRU) of the University of Sussex, Visiting Professor of the Institute of Scientific and Technical Information of China (ISTIC) in Beijing, and Visiting Professor at the School of Management, Birkbeck, University of London. He has published extensively in systems theory, social network analysis, scientometrics, and the sociology of innovation (see for a list of publications at http://www.leydesdorff.net/list.htm). With Henry Etzkowitz, he initiated a series of workshops, conferences, and special issues about the Triple Helix of University-Industry-Government Relations. He received the Derek de Solla Price Award for Scientometrics and Informetrics in 2003 and held “The City of Lausanne” Honor Chair at the School of Economics, Université de Lausanne, in 2005. In 2007, he was Vice-President of the 8th International Conference on Computing Anticipatory Systems (CASYS’07, Liège). THOMAS VALENTE University of Southern California, USA Thomas Valente conducts research on substance abuse prevention, treatment programs, and on the evaluation of health promotion programs. His two main research interests are network analysis and the study of social influence through social networks and program evaluation. He received a B.S. in mathematics from Mary Washington College, an M.S. in mass communication from San Diego State University, and a Ph.D. from the Annenberg School for Communication at the University of Southern California. He spent nine years at the Johns Hopkins University School of Public Health from 1991 to 2000 conducting research and teaching health communication, program evaluation, and network analysis. 7 MARIO DIANI University of Trento, Italy Mario Diani is a professor in the Department of Sociology and social research of the University of Trento, that he joined from the University of Strathclyde in Glasgow where he held the chair of Sociology between 1996-2001. In 2010- 2012 he was ICREA Research Professor in the Department of Political and Social Sciences of the Universitat Pompeu Fabra, Barcelona. He has worked extensively on social network approaches to social movements and collective action. His book The Cement of Civil Society. Studing Networks in Localities, based on a study of the structure of civic networks in British cities, will be published by Cambridge University Press later this year. Earlier publications include Social movements (with Donatella della Porta, Blackwell, 20062), Social movements and networks (co-edited with Doug McAdam, Oxford University Press, 2003),