Organized by GI/ITG Technical Committee on "Measurement, Modelling and Evaluation of Computing Systems (MMB)"


Reinhard German (FAU Erlangen)


Kai-Steffen Hielscher (FAU Erlangen)
Marco Pruckner (FAU Erlangen)


Markus Siegle (UBw Munich)


Udo Krieger (U Bamberg)


Anatoli Djanatliev (FAU Erlangen)


Thomas Herpel (IEE)


Robert Basmadjian (U Passau)
Marcel Baunach (TU Graz)
Peter Buchholz (TU Dortmund)
Hans Daduna (U Hamburg)
Markus Fidler (U Hannover)
Anna Förster (U Bremen)
Reinhard German (U Erlangen)
Gerhard Haßlinger (Dt. Telekom AG)
Boudewijn Haverkort (EWI/U Twente)
Tobias Hoßfeld (U Dusiburg-Essen)
Holger Hermanns (U Saarbrücken)
Joost-Pieter Katoen (RWTH Aachen)
Peter Kemper (Coll. of William and Mary)
Samuel Kounev (U Würzburg)
Udo Krieger (U Bamberg)
Kai Lampka (Elektrobit Automotive)
Wolfram Lautenschläger (Nokia)
Ralf Lehnert (TU Dresden)
Hermann de Meer (U Passau)
Michael Menth (U Tübingen)
Peter Reichl (U Wien)
Anne Remke (U Münster)
Johannes Riedl (Siemens AG)
Oliver Rose (UBw Munich)
Ramin Sadre (U Catholique de Lovain)
Jens Schmitt (TU Kaiserslautern)
Markus Siegle (UBw Munich)
Helena Szczerbicka (U Hannover)
Andreas Timm-Giel (TU Hamburg)
Dietmar Tutsch (U Wuppertal)
Kurt Tutschku (BTH Karlskrona)
Oliver Waldhorst (HsKA Karlsruhe)
Max Walter (Siemens AG)
Verena Wolf (U Saarbrücken)
Bernd Wolfinger (U Hamburg)
Katinka Wolter (FU Berlin)
Armin Zimmermann (TU Ilmenau)

2nd International Workshop on
Modeling, Analysis, and Management of Social Networks
and their Applications


Call for Papers - [PDF]

February 28, 2018, Erlangen, Germany

General Information:
SOCNET 2018 is a workshop at MMB 2018 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 purely theoretical to applied areas including the structural inference, modeling, analysis, simulation, control, and use of social networks.

The workshop is interdisciplinary in nature. 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 19th International GI/ITG Conference on “Measurement, Modelling and Evaluation of Computing Systems” (MMB 2018).

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

SOCNET 2018 solicits unpublished material on modeling, analysis, and management of complex social networks. Topics of interest include (but are not limited to):

Modeling and Analysis
  • characterization, inference, and evolution of topologies
  • robustness and vulnerability of network infrastructures
  • influence and epidemic spreading in complex networks
  • algebraic and graph-theoretical partitioning techniques and spectral optimization of modularity concepts
  • network evolution and dynamic social network analysis
  • formation of communities and their algorithmic detection
  • percolation properties of equilibrium and growing networks
  • investigation of scalability properties
  • exponential random graph (p*) models
  • analysis of random graph models and multiplicative stochastic processes
  • models accounting for network autocorrelation
  • relationship between structural properties of social networks and individual, group, and organizational performance
  • new data collection methods
  • synchronization in complex social networks
  • signaling, management, and distributed control protocols
  • control methods and algorithms for complex social networks
  • methods and tools for network visualization

Inference and Simulation Algorithms
  • inference of complex network properties in deployed infrastructures
  • structural inference and analysis of user behavior in social networks
  • immunization strategies for next generation networkss
  • tools supporting analysis, inference, and prediction of complex networks

Network Theory
  • role of technology in network theory
  • theories and ontologies for sociotechnical networks
  • effects of content access mechanisms on structural capital and individual performance
  • affordances of social media platforms and their effect on human behavior
  • effects of link recommendation systems and features of social media platforms on group formation and homophily

Authors are encouraged to submit a PDF version of their original contribution either as an extended abstract of 4 pages or as a short paper not exceeding 6 pages. All submissions must adhere to a single-column LNCS conference format with a font size not smaller than 10 points.

The paper must be submitted electronically prior to the extended submission deadline November 5, 2017 via Easychair at:

Notification of acceptance will be sent to the authors no later than December 6, 2017.

The final PDF versions of accepted papers is due by December 22, 2017.

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
  • Submission deadline: October 20, 2017
  • Extended Submission deadline: November 5, 2017
  • Acceptance notification: December 6, 2017
  • Camera-ready version: December 22, 2017
  • Authors‘ registration deadline: February 1, 2018
  • Workshop: February 28, 2018

Organizing Committee
General Chairs
  • Kai Fischbach, University of Bamberg, Germany
  • Udo R. Krieger, University of Bamberg, Germany

Local Arrangement Co-Chairs
  • Cornelia Schecher, University of Bamberg, Germany
  • Marcel Großmann, 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, Sloan School of Management, MIT, USA
  • Roger Häußling, RWTH Aaachen, 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 information, and registration process, please view the web page of “19th MMB 2018” at URL:

Time Wednesday, February 28, 2018
8:15-9:35 Tutorial: Oliver Posegga, Network Analysis in Python - A Brief Introduction
9:45-10-45 Opening and Invited Talk, Chair: K. Fischbach
Peter A. Gloor (MIT): From the Age of Emperors to the Age of Empathy
10:45-11:15 Coffee Break
11:15-12:30 Session 1: Social Media in Organizations, Chair: Stegbauer
[11:15-11:40] Patricia Gouws et al.: A Framework for the Analysis of Impact of Use of Social Media within an Organization (FAIUSO)
[11:40-12:05] Fabian Reck: Bringing Structure to Interfirm Interaction - The Influence Nested Formal Organizations on Knowledge Transfer Patterns in Interorganizational Networks
[12:05-12:30] Johannes Putzke and Hideaki Takeda: Preferential Attachment in Social Media - The Case of Nico Nico Douga
12:30-13:30 Lunch Break
13:30-15:00 Session 2: Network Modeling and Analysis, Chair: Mehler
[13:30-14:00] Dieter Fiems: Modelling group dynamics in epidemic opinion propagation
[14:00-14:30] Tolga Uslu, Alexander Mehler and Andreas Niekler: Towards a DDC-based Topic Network Model of Wikipedia
[14:30-15:00] Kathrin Eismann, Diana Fischer, Oliver Posegga and Kai Fischbach: Using Social Network Analysis to Make Sense of Radio Communication in Emergency Response
15:00-15:30 Coffee Break
15:30-15:55 Session 3: Social Network Applications, Chair: Posegga
Lisa Hepp: Analyzing the missing data of online travel reviews published in a large
virtual travel community
15:55-16:10 Closing Session, Chair: Fischbach, Krieger

SOCNET 2018 - Tutorial

Network Analysis in Python: A Brief Introduction
Dr. Oliver Posegga, (University of Bamberg, Department of Information Systems and Social Networks)

Abstract: This tutorial provides an entry-level introduction to social network analysis using Python and NetworkX. We discuss Python as a platform for network analysis and provide a systematic overview on the available libraries that elevate Python to a powerful toolbox for network research. Further, we introduce the fundamental concepts of network analysis and visualization, which we illustrate with practical examples based on a freely available dataset that we analyze with the software introduced in the beginning of the tutorial.

SOCNET 2018 - Invited Talk

From the Age of Emperors to the Age of Empathy
Peter A. Gloor, (Massachusetts Institute of Technology)

Abstract: The age of imperial CEOs residing in the corner office is over, Mark Zuckerberg shares the same open office space with the rest of his Facebook employees. Today’s Millennials do not want to be led by emperors high on testosterone and authority, but by leaders high on empathy and compassion.

This talk is based on my new books ``SwarmLeadership'' and ``Sociometrics'' . ``SwarmLeadership'' introduces a framework based on ``social quantum physics'', which explains how all living beings are connected through empathy in entanglement, and learning. To track empathy, entanglement, and learning we have developed ``seven honest signals of collaboration'' which can be used to measure empathy, entanglement, and learning on any level, from the global level on social media, inside the organization with e-mail, down to face-to-face entanglement using the body sensors of smartwatches. The talk will present the main concepts and the underlying algorithms and models, documenting them by numerous industry examples from our own work.

Key words: Social quantum physics, Entanglement, Empathy, Learning, Collaborative Innovation Networks.

Gloor, P.: Swarm Leadership and the Collective Mind: Using Collaborative Innovation Networks to Build a Better Business. Emerald Publishing, London, 2017

Gloor, P.: Sociometrics and Human Relationships: Analyzing Social Networks to Manage Brands, Predict Trends, and Improve Organizational Performance. Emerald Publishing, London 2017