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Empirical analysis of an evolving social network
Gueorgi Kossinets1, Duncan J Watts
1Department of Sociology and Institute for Social and Economic Research and Policy, Columbia University, 420 West 118th Street, MC 3355, New York, NY 10027, USA. gk297@columbia.edu
Science (New York, N.Y.)
|January 10, 2006
Summary
This study reveals that social network evolution is shaped by both network structure and organizational embedding. While average network properties stabilize, individual connections remain dynamic over time.
Area of Science:
- Social network analysis
- Sociology
- Network science
Background:
- Social networks dynamically evolve due to member activities, attribute similarity, and network closure.
- Understanding these dynamics is crucial for comprehending social structures.
Purpose of the Study:
- To analyze the evolution of a large-scale dynamic social network within a university setting.
- To identify the key drivers shaping network changes over an academic year.
Main Methods:
- Analysis of a dynamic social network of 43,553 individuals (students, faculty, staff).
- Inference of interactions from time-stamped email headers over one academic year.
- Matching interaction data with individual attributes and organizational affiliations.
Main Results:
- Network evolution is primarily driven by network topology and organizational structure.
- Average network properties tend towards an equilibrium state without major disruptions.
- Individual-level network properties exhibit instability over the study period.
Conclusions:
- The interplay between network topology and organizational embedding significantly shapes social network evolution.
- While the overall network structure may stabilize, individual relationships remain fluid.
- Findings provide insights into the complex dynamics of large-scale social networks.
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