Skip to main content

The Competition of User Attentions Among Social Network Services: A Social Evolutionary Game Approach

  • Conference paper
  • First Online:
Web Technologies and Applications (APWeb 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9931))

Included in the following conference series:

  • 2246 Accesses

Abstract

As the total amount of users in the social network services approach the total amount of netizens, social network service providers have to compete with each other for the attention of the existing users, rather than attracting totally new users without any social network service using experiences. Most of the current game theoretical studies on social network services focus on the evolution of the cooperation/defection between users, and the evolution of the structure of the networks for a single social networks, and fail to consider the competition of multiple social networks over a same and stable users group and their user attentions. In this paper, we propose a competitive social evolutionary game model to describe the competition of user attentions among social network services. We introduce the concept of user attention, and the popularity of social networks to describe the local and general user attention distributions, respectively. Our simulation of the competition between two social networks with different initial network structures and cooperation/defection utilities shows that a greater reputation awareness can suppress the influence of the defect temptation value.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Facebook Statistics (2016). https://facebook.com/press/info.php?statistics

  2. Yu, J., Wang, Y., Jin, X., Li, J., Cheng, X.: Evolutionary analysis on online social networks using a social evolutionary game. In: Proceedings of the 23rd International Conference on World Wide Web, WWW 2014, pp. 415–416. ACM, New York (2014)

    Google Scholar 

  3. Yu, J., Wang, Y., Jin, X., Cheng, X.: Social evolutionary games. In: Proceedings of the 5th International Conference on Game Theory for Networks, GAMENETS, Beijing, China, pp. 1–5 (2014)

    Google Scholar 

  4. Yazicioglu, A.Y., Ma, X., Altunbasak, Y.: Evolution of mixed strategies for social dilemmas on structured networks. In: Proceedings of the 2011 International Conference on Networking, Sensing and Control, Delft, The Netherlands, pp. 175–180 (2011)

    Google Scholar 

  5. Wu, L., Chen, X.: Modeling of evolutionary game between SNS and user: from the perspective of privacy concerns. In: Proceedings of the 21st International Conference on Management Science & Engineering, Helsinki, Finland, pp. 115–119 (2014)

    Google Scholar 

  6. Wang, Y., Nakao, A.: On cooperative and efficient overlay network evolution based on a group selection pattern. IEEE Trans. Syst. Man Cybern. Part B Cybern. 40(3), 656–667 (2010)

    Article  Google Scholar 

  7. Axelrod, R., Hamilton, W.D.: The evolution of cooperation. Science 211(4489), 1390–1396 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  8. Quek, H.Y., Tan, K.C., Abbass, H.A.: Evolutionary game theoretic approach for modeling civil violence. IEEE Trans. Evol. Comput. 13(4), 780–800 (2009)

    Article  Google Scholar 

  9. Han, K., Liu, D., Chen, Y., Chai, K.K.: Energy-efficient user association in HetNets: an evolutionary game approach. In: Proceedings of the 4th International Conference on Big Data and Cloud Computing, BDCloud 2014, Sydney, Australia, pp. 648–653 (2014)

    Google Scholar 

  10. Zhang, S., Song, Z., Wang, X., Zhou, W.: Emergence of small-world networks via local interaction using prisoner’s dilemma game. In: Proceedings of the 2007 IEEE Congress on Evolutionary Computation, CEC 2007, pp. 3706–3710 (2007)

    Google Scholar 

  11. Traag, V.A., Dooren, P.V., Nesterov, Y.: Indirect reciprocity through gossiping can lead to cooperative clusters. In: Proceedings of the IEEE Symposium on Artificial Life, pp. 154–161 (2011)

    Google Scholar 

  12. Jiang, C., Chen, Y., Liu, K.J.R.: Evolutionary dynamics of information diffusion over social networks. IEEE Trans. Signal Process. 62(17), 4573–4586 (2014)

    Article  MathSciNet  Google Scholar 

  13. Santos, F.C., Pacheco, J.M., Lenaerts, T.: Cooperation prevails when individuals adjust their social ties. PLoS Comput. Biol. 2(10), 1284–1291 (2006)

    Article  Google Scholar 

  14. Fu, F., Hauert, C., Nowak, M.A., Wang, L.: Reputation-based partner choice promotes cooperation in social networks. Phys. Rev. E 78(2), 026117 (2008)

    Article  Google Scholar 

  15. Szabo, G., Toke, C.: Evolutionary prisoner’s dilemma game on a square lattice. Phys. Rev. E 58(1), 69 (1998)

    Article  Google Scholar 

  16. igraph: the Network Analysis Package (2016). http://www.igraph.org/

Download references

Acknowledgments

This work is supported by Natural Science Foundation of China (No. 61303244, 61572473, 61572469, 61402442, 61402022, 61370132), National Grand Fundamental Research 973 Program of China (No. 2014CB340401), and the 242 Project of China (No. 2016F107).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jingyuan Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Li, J., Wang, Y., Lu, Y., Cheng, X., Ren, Y. (2016). The Competition of User Attentions Among Social Network Services: A Social Evolutionary Game Approach. In: Li, F., Shim, K., Zheng, K., Liu, G. (eds) Web Technologies and Applications. APWeb 2016. Lecture Notes in Computer Science(), vol 9931. Springer, Cham. https://doi.org/10.1007/978-3-319-45814-4_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-45814-4_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45813-7

  • Online ISBN: 978-3-319-45814-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics