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An experimental study of large-scale mobile social network

Published: 20 April 2009 Publication History

Abstract

Mobile social network is a typical social network where one or more individuals of similar interests or commonalities, conversing and connecting with one another using the mobile phone. Our works in this paper focus on the experimental study for this kind of social network with the support of large-scale real mobile call data. The main contributions can be summarized as three-fold: firstly, a large-scale real mobile phone call log of one city has been extracted from a mobile phone carrier in China to construct mobile social network; secondly, common features of traditional social networks, such as power law distribution and small diameter etc, have been experimented, with which we confirm that the mobile social network is a typical scale-free network and has small-world phenomenon; lastly, different from traditional analytical methods, important properties of the actors, such as gender and age, have been introduced into our experiments with some interesting findings about human behavior, for example, the middle-age people are more active than the young and old people, and the female is unusual more active than the male while in the old age.

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Geisberg, R., Sanders, P., and Scultes, D.: Better approximation of betweenness centrality. In Proceedings of the 10th workshop on Algorithm Engineering and Experiments (ALENEX'08).SIAM, 2008.
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Magnien, C., Latapy, M., and Habib, M.: Fast computation of empirically tight bounds for the diameter of massive graphs, http://www-rp.lip6.fr/~latapy/Diameter/, 2007.

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cover image ACM Conferences
WWW '09: Proceedings of the 18th international conference on World wide web
April 2009
1280 pages
ISBN:9781605584874
DOI:10.1145/1526709

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2009

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Author Tags

  1. betweenness centrality
  2. clustering coefficient
  3. degree distribution
  4. diameter
  5. shortest path

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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  • (2019)Social Network Analysis through Big Data Platform Review2019 International Conference on Computer and Information Sciences (ICCIS)10.1109/ICCISci.2019.8716484(1-5)Online publication date: Apr-2019
  • (2019)Centrality prediction based on K-order Markov chain in Mobile Social NetworksPeer-to-Peer Networking and Applications10.1007/s12083-019-00746-yOnline publication date: 30-Mar-2019
  • (2018)Understanding Human Mobility and Workload Dynamics Due to Different Large-Scale Events Using Mobile Phone DataJournal of Network and Systems Management10.1007/s10922-018-9454-326:4(1079-1100)Online publication date: 1-Oct-2018
  • (2018)Social Communication Network: Case StudyEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_289(2576-2583)Online publication date: 12-Jun-2018
  • (2017)Temporal Statistical Analysis of Degree Distributions in an Undirected Landline Phone Call Network Graph SeriesData10.3390/data20400332:4(33)Online publication date: 9-Oct-2017
  • (2017)From Small World Phenomenon to Correlation Analysis in a Temporal Landline Phone Call Network Graph SeriesInternational Journal of Applied Physics and Mathematics10.17706/ijapm.2017.7.4.275-2837:4(275-283)Online publication date: 2017
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