Network Analysis of Digital and Social Media Minitrack

Network science focuses on the structure of systems and how the components of a system come together, expressed as patterns or regularities in relationships among interacting units. Network analysis reveals the underlying structure and the dynamic interactions among system components. Network science and the development of digital and social media have co-evolved as catalysts of each other’s advancement, and the increased use of social and digital media provides scientists with a wealth of precise and novel data.

We welcome submissions that represent insightful ways that network analysis can be used to better understand social and digital media. Both methodologically and theoretically driven papers are encouraged, as well as empirical research (e.g. telecommunication, health, website specific, international, organizational, etc.) that push the boundaries of network science as applied to social and digital media. Forward-thinking and boundary-spanning forms of research including, but not limited to, the study of multi-level, localized and ego-centric networks are particularly welcome.

List of topics, as related to Digital and/or Social Media:

  • Theories of Social Networks
  • Models of Social Networks
  • Communication Networks
  • Telecommunication Networks
  • Internet
  • World-wide Web
  • Longitudinal Network Analysis
  • Visualization of Social Networks
  • Two-mode / Affiliation / Bi-partite Networks
  • Determining Network Structure and Processes
  • Self-organizing and Decentralized Networks
  • Social Influence
  • Social Factors

Minitrack Co-Chairs:

Devan Rosen (Primary Contact)
Ithaca College

George Barnett
University of California - Davis

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