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  • Little Big Data

    The Group Informatics Lab examines the emergence, development, leadership and structure of technologically mediated small groups. More

  • CSCL at Work

    When organizations do not have the necessary knowledge to address a changing market, CSCL@Work becomes a key to sustained competitiveness.More

  • Math Forum

    NSF Funded grant looking at Accountable Talk in math discourse using VMT. New research on increasing student interest in math using social sensors.More

  • Social Media

    I have NSF and Office of Naval Research grants focused on virtual organizations and leadership emergence.More

Data Science Kansas City - April 9, 2014

Mark McKelvey, data scientist at Alight Analytics, & I will be giving talks geared towards network and graph theory. Mark will be talking about applying network analysis to marketing channel optimization. He'll show us a practical example and talk some about the tools of the trade. My talk will focus on using network and computational linguistic analysis to understand leadership and participation in virtual organizations like GitHub projects and other online systems including Facebook and Twitter. Sean’s analysis examples will be in R, and data collection examples are in Python.

Connecting Theory to Social Technology Platforms: A Framework For Measuring Influence in Context

In this article we synthesize three years of social technologies research, including studies of Facebook, Twitter and GitHub, to present a a theory driven framework to guide future social scientific research using “Big Data”. We connect levels of analysis derived from empirical study of influence to the core, electronic trace data generated by social technologies. Specifically, we outline a relationship between social media technology platforms, individual goals for participation and emergent small groups to inform future research on influence in social technologies. We incorporate theory from small group literature, communities and networks of practice and media theory to explicate a contextual framework for measuring influence. In our discussion we propose three categories of social technology: Social media, distributed work and participatory mass media, presenting Facebook, GitHub and Twitter as exemplars of each respective category.

S. Goggins and Petakovic, E., Connecting Theory to Social Technology Platforms: A Framework For Measuring Influence in Context, American Behavioral Scientist, vol. Accepted, 2014.