IJSRSET calls volunteers interested to contribute towards the scientific development in the field of Science, Engineering and Technology

Home > IJSRSET15163                                                     


Comparison on Attention Automaton Sensing Collective user Interests in Social Network Communities

Authors(2):

S. Poornima, R. Rangaraj
  • Abstract
  • Authors
  • Keywords
  • References
  • Details
Social activity at present requires substantial fraction of time on the web for information dissemination. Content sharing results in a complex interplay between individual and attention received from others. The wide-spread adoption of various technologies leads to new approaches that differ from traditional approaches for information sharing among the communities. The attention of communities will be based on the unique features. The previous research works still does not help us to quantify the collective attention affinity that exists in user group and dynamics of attention between collective users is different from individual user. The paper deals with a study that addresses the above limitations.

S. Poornima, R. Rangaraj

Attention, automaton, community attention, Individual attention

  1. J. Lehmann, B. Gonc¸alves, Jos_e J. Ramasco, and C. Cattut,“Dynamical classes of collective attention in Twitter,” in Proc. 21st Int. Conf. World Wide Web, 2012, pp. 251–260.
  2. Kossinets, G.; Kleinberg, J.; and Watts, D. 2008. The structure of information pathways in a social communication network. In Proc. 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
  3. Wilson, C.; Boe, B.; Sala, A.; Puttaswamy, K. P. N.; and Zhao, B. Y. 2009. User interactions in social networks and their implications.In Proc. 2009 EuroSys Conference
  4. Bimal Viswanath, Alan Mislove, Meeyoung Cha, Krishna P. Gummadi ,” On the Evolution of User Interaction in Facebook” ACM, August 17, 2009
  5. Backstrom, L.; Sun, E.; and Marlow, C. 2010. Find me if you can: Improving geographical prediction with social and spatial proximity. In Proc. 19th Intl. World Wide Web Conf.
  6. L. Weng, A. Flammini, A. Vespignani and F. Menczer, “Competition among memes in a world with limited attention,”Sci. Rep., vol. 2, p. 121, 2012.
  7. Wu F. & Huberman B. A. Novelty and collective attention. Proceedings of the National Academy of Sciences 104, 17599–17601 (2007)
  8. Zhi Yang, Jilong Xue, Christo Wilson , Ben Y. Zhao and Yafei Dai, “ Uncovering User Interaction Dynamics in Online Social Networks” Association for the Advancement of Artificial Intelligence 2015.
  9. A. Ghosh and P. McAfee, “Incentivizing high-quality usergenerated content,” in Proc. 20th Int. Conf. World Wide Web, 2011, pp. 137–146.
  10. N. O. Hodas and K. Lerman, “How visibility and divided attention constrain social contagion,” in Proc. SE/IEEE Int. Conf. Social Comput. ASE/IEEE Int. Conf. Privacy, Security, Risk Trust. 2012, pp. 249–257.
  11. Suman Deb Roy, Gilad Lotan, and Wenjun , Zeng,“The Attention Automaton: Sensing Collective User Interests in Social Network Communities”,IEEE transactions on network science and engineering, vol. 2, no. 1, january-march 2015
  12. M. Ye, T. Sandholm, C. Wang, C. Aperjis, and B. A. Huberman, “Collective attention and the dynamics of group deals,” in Proc. 21st Int. Conf. Companion World Wide Web, 2012, 1205–1212.
  13. K. Lerman and R. Ghosh. Information contagion: an empirical study of spread of news on digg and twitter social networks. In Proceedings of 4th International Conference on Weblogs and Social Media (ICWSM), May 2010.
  14. K. Lerman and T. Hogg. Using a model of social dynamics to predict popularity of news. In Proceedings of 19th International World Wide Web Conference (WWW), 2010.
  15. K. Lerman and T. Hogg. Using stochastic models to describe and predict social dynamics of web users. To appear in ACM Transactions on Intelligent Systemsand Technology, 2011.
  16. G. Szab´o and B. A. Huberman. Predicting the popularity of online content. Commun. ACM, 53(8):80–88, 2010.

Publication Details

Published in : Volume 1 | Issue 6 | November-December - 2015
Date of Publication Print ISSN Online ISSN
2015-12-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
114-117 IJSRSET15163   Technoscience Academy

Cite This Article

S. Poornima, R. Rangaraj, "Comparison on Attention Automaton Sensing Collective user Interests in Social Network Communities", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 6, pp.114-117, November-December-2015.
URL : http://ijsrset.com/IJSRSET15163.php

IJSRSET Xplore

Subscribe

Conferences

National Conference on Advances in Mechanical Engineering 2017(NCAME 2017)

National Conference on Emerging Trends in Civil Engineering 2017( NCETCE 2017)