Analysis of evolving social network:methods and results from cell phone data set case study

Dutta Baruah, Rashmi and Angelov, Plamen (2013) Analysis of evolving social network:methods and results from cell phone data set case study. International Journal of Social Network Mining, 1 (3-4). pp. 254-279. ISSN 1757-8485

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Abstract

In this paper, we attempt to detect the changes in the structure of an evolving social network. We define a novel measure to quantify the dynamics of the network and use it to generate a timeline for the network that indicates the changes. We consider that any significant change in the network is as a result of occurrence of some event, and thus, identify the day or time step when the event took place. Further, the analysis involves identification of key individuals and their close associates that were active on that day. Finally, the case study involves identification of individuals having communication behaviour similar to the key individuals. To group such individuals, we use a recently proposed online clustering approach called evolving clustering (eClustering). We demonstrate the efficacy of the proposed quantification measures by conducting several experiments and comparing the results with the ground truth.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Social Network Mining
Subjects:
ID Code:
70254
Deposited By:
Deposited On:
11 Aug 2014 14:19
Refereed?:
Yes
Published?:
Published
Last Modified:
02 Jun 2020 02:21