Anasis on Vitality Ranking In Social Networking Services : A Dynamic Network Perspective

Authors(2) :-J. Swapna Priya, Koppolu Venkatesh

Several users keep interacting with one another on a daily basis. One fascinating and necessary downside within the social networking services is to rank users supported their vitality in a very social networking services are current at several on-line communities like and Associate in nursing correct ranking list of user vitality may benefit several parties in social network services like the ads suppliers and web site operators. Though itís terribly promising to get a vitality-based ranking list of users, there square measure several technical challengers because of the big scale and dynamics interactions among users on social networks. Samples of social network embrace however don't seem to be restricted to social networks in micro blog sitesand academic collaboration networks.

Authors and Affiliations

J. Swapna Priya
MCA Department, Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India
Koppolu Venkatesh
MCA Department, Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India

Distributed Systems, Checking Data, Social Networks, User Activity and Security.

  1. H Li, Y. Ge, and H. Zhu, Point-of-interest recommendations: Learning potential check-ins from friends,? in Proc. ACM SIGKDD Int. Conf. Knowledge. Discovery Data Mining, 2016.
  2. H Li, R. Hong, D. Lian, Z. Wu, M. Wang, and Y. Ge, A relaxed ranking-based factor model for recommender system from implicit feedback,? In IJCAI, pp. 1683–1689, 2016.
  3. L Wu, Y. Ge, Q. Liu, E. Chen, B. Long, and Z. Huang, Modeling users’ preferences and social links in social networking services: a joint-evolving perspective,? in Proc. 13th AAAI Conf. Artif. Intell.,2016, pp. 279–286.
  4. H Li, R. Hong, S. Zhu, and Y. Ge, Point-of-interest recommender systems: A separate-space perspective,? in Proc.IEEE Int. Conf. Data Mining, 2015, pp. 231–240.
  5. W Liu, G. Li, and J. Cheng, Fast PageRank approximation by adaptive sampling,? Knowledge. Inf. Syst., vol. 42, no. 1, pp. 127–146, 2015.
  6. Y Song, W. Ng, K. Wai-Ting Leung, and Q. Fang, SFP-Rank: Significant frequent pattern analysis for effective ranking,? Knowledge. Inf. Syst., vol. 43, no. 3, pp. 529–553, 2015.
  7. Y Yang, R. N. Lichtenwalter, and N. V. Chawla, Evaluating link prediction methods,? Knowl. Inf. Syst., vol. 45, no. 3, pp. 751–782, 2015.
  8. S Kumar, F. Morstatter, and H. Liu, Twitter Data Analytics. Berlin, Germany: Springer, 2014.
  9. A Omidvar, M. Garakani, and H. R. Safarpour, Context based user ranking in forums for expert finding using WordNet dictionary and social network analysis,? Inf. Technol. Manage., vol. 15, no. 1, pp. 51–63, 2014
  10. K. Zhao, J. Yen, G. Greer, B. Qiu, P. Mitra, and K. Portier, Finding influential users of online health communities: A new metric based on sentiment influence,? J. Amer. Med. Informat. Assoc., vol. 21, no. e2, pp. e212–e218, 2014.based on sentiment influence,? J. Amer. Med. Informat.Assoc.,
  11. S. Brin and L. Page, Reprint of: The anatomy of a large-scale hyper textual Web search engine,? Computer.Network, vol. 56, no. 18, pp. 3825–3833, 2012.
  12. E. Bakshy, J. M. Hofman, W. A. Mason, and D. J. Watts, Everyone’s an influencer: Quantifying influence on Twitter,? in Proc. 4th ACM Int. Conf. Web Search Data Mining, 2011, pp. 65–74.
  13. P. E. Brown and J. Feng, Measuring user influence on twitter using modified k-shell decomposition,? 2011
  14. D.M. Romero, W. Galuba, S. Asur, and B. A. Huberman, Influence and passivity in social media,? in Machin Learning and Knowledge Discovery in Databases. Berlin, Germany: Springer, 2011, pp. 18–33.
  15. M Cha, H. Haddadi, F. Benevenuto, and P.K. Gummadi, Measuring user influence in Twitter: The million follower fallacy,? in Proc. IntAAAI Conf. Weblogs Social, 2010, vol. 10, pp. 10–17.
  16. T. Opsahl, F. Agneessens, and J. Skvoretz, Node centrality in weighted networks: Generalizing degree and shortest paths,? Social Network., vol. 32, no. 3, pp. 245–251, 2010.
  17. J. Weng, E.-P.Lim, J. Jiang, and Q. He, Twitter Rank: Finding topic-sensitive influential twitter,? in Proc. 3rd ACM Int. Conf. Web Search Data Mining, 2010, pp. 261–270.
  18. Y. Yamaguchi, T. Takahashi, T. Amagasa, and H. Kitagawa, TURank: Twitter user ranking based on user-tweet graph analysis,? in Proc. 11th Int. Conf. Web Inf. Syst. Eng., 2010, pp. 240–253.vol. 21, no. e2, pp. e212–e218, 2014.
  19. J. Jiao, J. Yan, H. Zhao, and W. Fan, Expert Rank: An expert user ranking algorithm in online communities,? in Proc. Int. Conf. New Trends Inf. Service Sci., 2009, pp. 674–679.
  20. R. G. Brown, Smoothing, Forecasting and Prediction of Discrete Time Series. North Chelmsford, MA, USA: Courier Corporation, 2004.
  21. R. Mihalcea, Graph-based ranking algorithms for sentence extraction, applied to text summarization,? in Proc. ACL Interactive Poster Demonstration Sessions, 2004, Art. no. 20.
  22. C. S. Campbell, P. P. Maglio, A. Cozzi, and B. Dom, Expertise identification using email communications,? in Proc. 12th Int. Conf. Inf. Knowledge. Manage, 2003, pp. 528–531.
  23. P. Domingos and M. Richardson, Mining the network value of customers,? in Proc. 7th ACM SIGKDD Int. Conf. Knowledge. Discovery Data Mining, 2001, pp. 57–66.
  24. J. M. Kleinberg, Authoritative sources in a hyperlinked environment,? J. ACM, vol. 46, no. 5, pp. 604–632, 1999.
  25. S. Wasserman and P. Pattison, Logit models and logistic regressions for social ne

Publication Details

Published in : Volume 4 | Issue 2 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 41-49
Manuscript Number : CSEIT1833611
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

J. Swapna Priya, Koppolu Venkatesh , "Anasis on Vitality Ranking In Social Networking Services : A Dynamic Network Perspective", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.41-49, March-April.2018

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