Measures of Social Capital, Triadic Correlations in Graphs, Di-Graphs and Signed Graphs
Facilitator/s:
David Dekker w/ David Krackhardt
Workshop Description:
This workshop explores how advanced network theory can be applied to measure and understand social capital. Participants will learn about the role of triadic correlations, directed graphs (di-graphs), and signed graphs in capturing the structure and dynamics of social relationships. The session will discuss both conceptual and practical aspects of quantifying trust, reciprocity, and balance within social systems, connecting network patterns to broader theories of cooperation and influence.
Objectives or Learning Outcomes:
The workshop aims to introduce participants to analytical frameworks for examining complex social networks and their implications for social capital research.
By the end of the session, participants will:
-
Understand key measures used to assess social capital within network structures.
-
Recognize how triadic and signed relationships reveal deeper patterns of trust and conflict.
-
Be able to interpret directed and signed graph data to inform social network analysis.
-
Gain confidence in applying these frameworks to research on communities, organizations, or online networks.
Intended Audience:
This workshop is suitable for researchers, academics, and practitioners interested in social capital, sociology, data analytics, or network science. It is open to participants with basic familiarity with data analysis or network concepts, though prior technical experience is not required.
About the Facilitator/s:
Dr Dekker is a Reseach Fellow at Heriot-Watt University Dubai and an expert in social network theory, a science which merges mathematics and sociology. Originally from The Netherlands, he has a PhD from Erasmus University Rotterdam and, alongside his academic work, advises businesses on green investments.