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Reseach Article

Discovering Local Social Groups using Mobility Data

by Vishnu Jayadevan, Kinshuk Bharadwaj, Anshu Kumar, Prateek Khandelwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 21
Year of Publication: 2015
Authors: Vishnu Jayadevan, Kinshuk Bharadwaj, Anshu Kumar, Prateek Khandelwal
10.5120/21351-4042

Vishnu Jayadevan, Kinshuk Bharadwaj, Anshu Kumar, Prateek Khandelwal . Discovering Local Social Groups using Mobility Data. International Journal of Computer Applications. 120, 21 ( June 2015), 15-19. DOI=10.5120/21351-4042

@article{ 10.5120/21351-4042,
author = { Vishnu Jayadevan, Kinshuk Bharadwaj, Anshu Kumar, Prateek Khandelwal },
title = { Discovering Local Social Groups using Mobility Data },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 21 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number21/21351-4042/ },
doi = { 10.5120/21351-4042 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:48.383169+05:30
%A Vishnu Jayadevan
%A Kinshuk Bharadwaj
%A Anshu Kumar
%A Prateek Khandelwal
%T Discovering Local Social Groups using Mobility Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 21
%P 15-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The ever increasing popularity of location aware mobile devices, has facilitated the collection of large amounts of human mobility data. This data usually contains where a person was and when, which can give us an insight into the complex social behavior of people. In this paper we explore the use of co-location as a means to estimate the strength of relationship between people. First we modify existing co-location algorithms to take the significance of the location of co-occurrence into account in predicting relationship strength. Next, we propose a system to identify social groups that exists in geographic areas called Local Social Groups by using co-location information. Finally, we run extensive experiments on our sample data to test the efficiency of our approach.

References
  1. Foursquare. Available: https://foursquare. com/, Accessed on 25 April 2015
  2. Facebook. Available: https://www. facebook. com/, Accessed on 26 April 2015
  3. Twitter. Available: https://www. twitter. com/, Accessed on 25 April 2015.
  4. Claudia Hau? and Geert-Jan Houben, "Geo-Location Estimation of Flickr Images: Social Web Based Enrichment", 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings
  5. Flickr. Available: https://www. flickr. com, Accessed on 1 May 2015.
  6. Sriram Sankar, "Under the Hood: Indexing and ranking in Graph Search", Facebook Engineering
  7. Scott L Feld, "The Focused Organization of Social Ties", American Journal of Sociology, Vol. 86, No. 5 (Mar. , 1981), pp. 1015-1035
  8. Mitra Baratchi, Nirvana Meratnia, Paul. J. M. Havinga, "On the Use of Mobility Data for Discovery and Description of Social Ties", Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), 25-28 Aug 2013, Niagara falls, Canada. pp. 1229-1236
  9. Huy Pham, Ling Hu, Cyrus Shahabi, "GEOSO – A Geo-Social Model: From Real-World Co-occurrences to Social Connections", Databases in Networked Information Systems: 7th International Workshop
  10. Van Dongen, S, "Graph Clustering by Flow Simulation", PhD Thesis, University of Utrecht, The Netherlands.
  11. Google Place Types. Available: https://developers. google. com/places/supported_types,
  12. Chloë Brown, Vincenzo Nicosia, Salvatore Scellato, Anastasios Noulas, Cecilia Mascolo, "The Importance of Being Placefriends: Discovering Location-focused Online Communities", Proceedings of the 2012 ACM workshop on Workshop on online social networks, Pages 31-36
  13. David J. Crandalla, Lars Backstromb, Dan Cosleyc, Siddharth Surib, Daniel Huttenlocherb, and Jon Kleinbergb, "The importance of being placefriends: discovering location-focused online communities", Proceedings of the 2012 ACM workshop on Workshop on online social networks, Pages 31-36
  14. Eunjoon Cho, Seth A. Myers, Jure Leskovec, "Friendship and mobility: user movement in location-based social networks", Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, Pages 1082-1090
  15. Dashun Wang, Dino Pedreschi, Chaoming Song, Fosca Giannotti, Albert-László Barabási, "Human Mobility, Social Ties, and Link Prediction", Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, Pages 1100-1108
Index Terms

Computer Science
Information Sciences

Keywords

Social group discovery mobility data location aware mobile devices