Modeling the evolution of interaction behavior in social networks: A dynamic relational event approach for real-time analysis

Joris Mulder and Roger Th.A.J. Leenders

Chaos, Solitons & Fractals, 2019, vol. 119, issue C, 73-85

Abstract: There has been an increasing interest in understanding how social networks evolve over time. The study of network dynamics is often based on modeling the transition of a (small) number of snapshots of the network observations. The approach however is not suitable for analyzing networks of event streams where edges are constantly changing in frequency, strength, sentiment, or type in real time.

Keywords: Social network; Dynamic analysis; Relational event modeling; Bayes factor; Email network; Social network analysis; Survival model; Event history (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:119:y:2019:i:c:p:73-85

DOI: 10.1016/j.chaos.2018.11.027

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