Work

Tracking Group Evolution in Social Networks

Year: 2012

Type: preprint

Abstract: Easy access and vast amount of data, especially from long period of time, allows to divide social network into timeframes and create temporal social network. Such network enables to analyse its dynamics. One aspect of the dynamics is analysis of social communities evolution, i.e., how particular group changes over time. To do so, the complete group evolution history is needed. That is why in this paper the new method for group evolution extraction called GED is presented.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1210.5240

Authors: Bródka, Piotr, Saganowski, Stanisław, Kazienko, Przemysław

Institution: Wrocław University of Science and Technology

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

OpenAlex ID: W2952462860

Cites: 2

Cited by:

Related to: 20