SOCNET 2020

3rd International Workshop on Modeling, Analysis, and Management of Social Networks and their Applications

March 18, 2020
Saarbrücken, Germany

Call for Papers

General Information

SOCNET 2020 is a workshop at MMB 2020 on modeling, analysis, and management of complex social networks—the social structures that emerge from the interaction of human actors. Over the years, scholars in the fields of anthropology, sociology, psychology, economics, and organizational theory have proposed different methods and techniques to reveal these structures and analyze their functioning and network outcomes. The practical application of social network analysis constitutes an important and rapidly growing area of research in our modern, interconnected information society. The related scientific concepts incorporate a variety of methods from graph theory, computer science, and statistics, among others.

The workshop will cover all aspects of modeling, analysis, and management of social networks and the applied methodologies that arise in social network theory and analysis. The topics range from the purely theoretical to applied areas, including the structural inference, modeling, analysis, simulation, control, and use of social networks.

The workshop will be interdisciplinary. To incorporate fully the methodological, technical, and economic aspects of social network analysis, we invite contributions from many fields, including, but not restricted to, information systems, computer science, economics, management, sociology, psychology, anthropology, biology, and physics. We also invite practitioners, who will enrich the discussion by sharing their experiences with business applications of social networking. We anticipate an open exchange of fresh ideas, problems, and new directions.

The workshop is co-located with the 20th International GI/ITG Conference on “Measurement, Modelling and Evaluation of Computing Systems” (MMB 2020).

The workshop is supported by Deutsche Gesellschaft für Netzwerkforschung (German Association for Network Research, DGNet).

Topics

SOCNET 2020 solicits unpublished material on modeling, analysis, and management of complex social networks. Topics of interest include (but are not limited to):

Networks and their Applications

• Social networks
• Biological and technological networks
• Financial and economic networks
• Supply chain networks
• Political networks
• Collaboration networks
• Organizational networks
• Sociotechnical networks
• Semantic networks
• Historical networks
• Knowledge and innovation networks
• Words and networks
• Temporal and spatial networks

Research Methods, Tools, and Platforms

• Network structures and outcomes
• Network visualization
• Network models and simulation
• Algebraic and graph-theoretical analysis techniques
• Network mining and machine learning
• Community detection and analysis
• Network dynamics
• Epidemic spreading
• Information diffusion
• Data collection and inference
• Statistical methods
• Human behavior in social networks
• Social influence and selection
• Reputation and trust
• Rumor propagation and disinformation
• Software tools supporting analysis, inference, and prediction of networks
• Social media platforms

Submissions

Authors are encouraged to submit a PDF version of their original contributions either as extended 4-page abstracts or as short papers not exceeding 6 pages. All submissions must adhere to a single-column LNCS conference format with a font size not smaller than 10 point.

Papers must be submitted electronically prior to the November 10, 2019, deadline via Easychair.

Notification of acceptance will be sent to authors no later than December 15, 2019. The final PDF versions of accepted papers are due by January 5, 2020.

All accepted contributions will appear in the workshop proceedings. A registration of at least one co-author as a workshop or conference participant is required before the deadline.

Important Dates

Organizing Committee

General Chairs

• Kai Fischbach, University of Bamberg, Germany
• Udo R. Krieger, University of Bamberg, Germany

Technical Program Committee

• Jana Diesner, University of Illinois at Urbana-Champaign, USA
• Kai Fischbach, University of Bamberg, Germany
• Peter A. Gloor, MIT Sloan School of Management, USA
• Roger Häußling, RWTH Aaachen, Germany
• Fariba Karimi, GESIS – Leibniz Institute for the Social Sciences, Cologne, Germany
• Udo R. Krieger, University of Bamberg, Germany
• Alexander Mehler, Goethe-Universität Frankfurt am Main, Germany
• Oliver Posegga, University of Bamberg, Germany
• Christian Stegbauer, Goethe-Universität Frankfurt am Main, Germany
• Katharina A. Zweig, TU Kaiserslautern, Germany

Further Information

For further details on the venue, travel, and the registration process can be found on the homepage of MMB2020.