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Planetary-scale views on a large instant-messaging network

Published:21 April 2008Publication History

ABSTRACT

We present a study of anonymized data capturing a month of high-level communication activities within the whole of the Microsoft Messenger instant-messaging system. We examine characteristics and patterns that emerge from the collective dynamics of large numbers of people, rather than the actions and characteristics of individuals. The dataset contains summary properties of 30 billion conversations among 240 million people. From the data, we construct a communication graph with 180 million nodes and 1.3 billion undirected edges, creating the largest social network constructed and analyzed to date. We report on multiple aspects of the dataset and synthesized graph. We find that the graph is well-connected and robust to node removal. We investigate on a planetary-scale the oft-cited report that people are separated by "six degrees of separation" and find that the average path length among Messenger users is 6.6. We find that people tend to communicate more with each other when they have similar age, language, and location, and that cross-gender conversations are both more frequent and of longer duration than conversations with the same gender.

References

  1. R. Albert, H. Jeong, and A.-L. Barabasi. Error and attack tolerance of complex networks. Nature, 406:378, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  2. J. I. Alvarez-Hamelin, L. Dall'Asta, A. Barrat, and A. Vespignani. Analysis and visualization of large scale networks using the k-core decomposition. In ECCS '05: European Conference on Complex Systems, 2005.Google ScholarGoogle Scholar
  3. D. Avrahami and S. E. Hudson. Communication characteristics of instant messaging: effects and predictions of interpersonal relationships. In CSCW '06, pages 505--514, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A.-L. Barabasi. The origin of bursts and heavy tails in human dynamics. Nature, 435:207, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  5. V. Batagelj and M. Zaversnik. Generalized cores. ArXiv, (cs.DS/0202039), Feb 2002.Google ScholarGoogle Scholar
  6. IDC Market Analysis. Worldwide Enterprise Instant Messaging Applications 2005--2009 Forecast and 2004 Vendor Shares: Clearing the Decks for Substantial Growth. 2005.Google ScholarGoogle Scholar
  7. J. Leskovec and E. Horvitz. Worldwide Buzz: Planetary-Scale Views on an Instant-Messaging Network. Tech. report MSR-TR-2006-186, 2006.Google ScholarGoogle Scholar
  8. P. V. Marsden. Core discussion networks of americans. American Sociological Review, 52(1):122--131, 1987.Google ScholarGoogle ScholarCross RefCross Ref
  9. M. McPherson, L. Smith-Lovin, and J. M. Cook. Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(1):415--444, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  10. B. A. Nardi, S. Whittaker, and E. Bradner. Interaction and outeraction: instant messaging in action. In CSCW '00: Proceedings of the 2000 ACM conference on Computer supported cooperative work, pages 79--88, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. E. Ravasz and A.-L. Barabasi. Hierarchical organization in complex networks. Physical Review E, 67(2):026112, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  12. E. M. Rogers and D. K. Bhowmik. Homophily-heterophily: Relational concepts for communication research. Public Opinion Quarterly, 34:523--538, 1970.Google ScholarGoogle ScholarCross RefCross Ref
  13. X. Shi, L. A. Adamic, and M. J. Strauss. Networks of strong ties. Physica A Statistical Mechanics and its Applications, 378:33--47, May 2007.Google ScholarGoogle ScholarCross RefCross Ref
  14. P. Singla and M. Richardson. Yes, there is a correlation - from social networks to personal behavior on the web. In WWW '08, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. M. P. Stumpf, C. Wiuf, R. M. May. Subnets of scale-free networks are not scale-free: sampling properties of networks. PNAS, 102(12), 2005.Google ScholarGoogle Scholar
  16. S. L. Tauro, C. Palmer, G. Siganos, and M. Faloutsos. A simple conceptual model for the internet topology. In GLOBECOM '01, vol. 3, pages 1667--1671, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  17. J. Travers and S. Milgram. An experimental study of the small world problem. Sociometry, 32(4), 1969.Google ScholarGoogle Scholar
  18. A. Voida, W. C. Newstetter, and E. D. Mynatt. When conventions collide: the tensions of instant messaging attributed. In CHI '02, pages 187--194, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. D. J. Watts and S. H. Strogatz. Collective dynamics of 'small-world' networks. Nature, 393:440--442, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  20. X. Xiao, L. Guo, and J. Tracey. Understanding instant messaging traffic characteristics. In ICDCS '07, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      cover image ACM Conferences
      WWW '08: Proceedings of the 17th international conference on World Wide Web
      April 2008
      1326 pages
      ISBN:9781605580852
      DOI:10.1145/1367497

      Copyright © 2008 ACM

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      Publication History

      • Published: 21 April 2008

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