Explaining social events through community evolution on temporal networks

Huichun Li, Xue Zhang and Chengli Zhao

Applied Mathematics and Computation, 2021, vol. 404, issue C

Abstract: The social network is closely related to people’s lives. And social events are the products of the human subjective initiative during the evolution of networks. Therefore, there is a close correlation between social events and network evolution. This paper studies the characteristics of network evolution corresponding to social events from the perspective of temporal networks. The change point detection method is applied to capture the “shocks” of social events on the network structure. Then, the patterns of structural changes are analyzed based on the theory of community evolution. Experiments on two cases illustrate that social events are significant milestones to promote the development of social networks. And the mesostructure is the intermediary connecting evolving network and social events.

Keywords: Social event; Temporal network; Change point; Community evolution (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S009630032100196X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:404:y:2021:i:c:s009630032100196x

DOI: 10.1016/j.amc.2021.126148

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().