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Mobile Networks and Applications

, Volume 23, Issue 4, pp 717–722 | Cite as

Information Diffusion Model Based on Social Big Data

  • Dawei Jin
  • Xiao Ma
  • Yin Zhang
  • Haider Abbas
  • Han Yu
Article

Abstract

Users can access Weibo, a widely used social network platform, through mobile clients or PCs at any time for social interaction. This paper describes an information diffusion model based on the Weibo platform, which is used to measure information diffusion based on the extent of reposting on Weibo. First, the information diffusion of a Weibo post created in the evening is analyzed, and a quantitative analysis is conducted on the information diffusion within a particular period of time of night, targeting user behavior characteristics during that time, to further improve the accuracy of the model. Moreover, an information diffusion model based on superposition theory is proposed with respect to the participation of key users in the information diffusion process.

Keywords

Information diffusion Social network Superposition models Information management Big data analytics Information delivery 

Notes

Acknowledgments

This work was supported by the National Social Science Foundation of China under grant No. 13CTJ003 and by the China Postdoctoral Science Foundation under grant No. 2014M562025.

References

  1. 1.
    Musial K, Budka M, Juszczyszyn K (2013) Creation and growth of online social network. World Wide Web 16(4):421–447CrossRefGoogle Scholar
  2. 2.
    Bakshy E, Rosenn I, Marlow C, Adamic L (2012) The role of social networks in information diffusion. In: Proceedings of the 21st international conference on World Wide Web. ACM, New York, pp 519–528Google Scholar
  3. 3.
    CNNIC (2014) The 33rd Statistical Report on Internet Development in China. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201403/t20140305_46240.htm
  4. 4.
    Aloi G, Caliciuri G, Fortino G, Gravina R, Pace P, Russo W, Savaglio C (2017) Enabling iot interoperability through opportunistic smartphone-based mobile gateways. J Netw Comput Appl 81:74–84CrossRefGoogle Scholar
  5. 5.
    Yang L, Li W, Ge Y, Fu X, Gravina R, Fortino G (2014) People-centric service for mhealth of wheelchair users in smart cities. In: Internet of things based on smart objects. Springer, Cham, pp 163–179Google Scholar
  6. 6.
    Di Fatta G, Blasa F, Cafiero S, Fortino G (2013) Fault tolerant decentralised k-means clustering for asynchronous large-scale networks. J Parallel Distrib Comput 73(3):317–329CrossRefGoogle Scholar
  7. 7.
    Saito K, Kimura M, Ohara K, Motoda H (2010) Selecting information diffusion models over social networks for behavioral analysis. In: Machine learning and knowledge discovery in databases, pp 180–195Google Scholar
  8. 8.
    Chen W, Yuan Y, Zhang L (2010) Scalable influence maximization in social networks under the linear threshold model. In: 2010 IEEE 10th international conference on data mining (ICDM). IEEE, Sydney, pp 88–97Google Scholar
  9. 9.
    Wang C, Chen W, Wang Y (2012) Scalable influence maximization for independent cascade model in large-scale social networks. Data Min Knowl Disc 25(3):545MathSciNetCrossRefMATHGoogle Scholar
  10. 10.
    Katona Z, Zubcsek PP, Sarvary M (2011) Network effects and personal influences: the diffusion of an online social network. J Mark Res 48(3):425–443CrossRefGoogle Scholar
  11. 11.
    Suh B, Hong L, Pirolli P, Chi EH (2010) Want to be retweeted? large scale analytics on factors impacting retweet in twitter network. In: 2010 ieee second international conference on Social computing (socialcom). IEEE, Minneapolis, pp 177–184Google Scholar
  12. 12.
    Zaman TR, Herbrich R, Van Gael J, Stern D (2010) Predicting information spreading in twitter. In: Workshop on computational social science and the wisdom of crowds, nips, vol 104, no 45. Citeseer, pp 17,599–601Google Scholar
  13. 13.
    Peng H-K, Zhu J, Piao D, Yan R, Zhang Y (2011) Retweet modeling using conditional random fields. In: 2011 IEEE 11th international conference on data mining workshops (ICDMW). IEEE, Vancouver, pp 336–343Google Scholar
  14. 14.
    Luo Z, Wang Y, Wu X (2012) Predicting retweeting behavior based on autoregressive moving average model. Web Information Systems Engineering-WISE 2012:777–782Google Scholar
  15. 15.
    Wang H, Li Y, Feng Z, Feng L (2013) Retweeting analysis and prediction in microblogs: an epidemic inspired approach. China Communications 10(3):13–24CrossRefGoogle Scholar
  16. 16.
    Saito K, Kimura M, Ohara K, Motoda H (2012) Efficient discovery of influential nodes for sis models in social networks. Knowl Inf Syst 30(3):613–635CrossRefGoogle Scholar
  17. 17.
    Zhao L, Wang J, Chen Y, Wang Q, Cheng J, Cui H (2012) Sihr rumor spreading model in social networks. Physica A: Statistical Mechanics and its Applications 391(7):2444–2453CrossRefGoogle Scholar
  18. 18.
    Liu S, Cheng X, Lan C, Fu W, Zhou J, Li Q, Gao G (2013) Fractal property of generalized m-set with rational number exponent. Appl Math Comput 220:668–675MathSciNetMATHGoogle Scholar
  19. 19.
    Liu S, Pan Z, Fu W, Cheng X (2017) Fractal generation method based on asymptote family of generalized mandelbrot set and its application. Journal of Nonlinear Sciences and Applications 10(3):1148–1161MathSciNetCrossRefGoogle Scholar
  20. 20.
    Liu S, Zhang Z, Qi L, Ma M (2016) A fractal image encoding method based on statistical loss used in agricultural image compression. Multimedia Tools and Applications 75(23):15,525–15,536CrossRefGoogle Scholar
  21. 21.
    Liu S, Cheng X, Fu W, Zhou Y, Li Q (2014) Numeric characteristics of generalized m-set with its asymptote. Appl Math Comput 243:767–774MathSciNetMATHGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Dawei Jin
    • 1
  • Xiao Ma
    • 1
  • Yin Zhang
    • 1
    • 2
  • Haider Abbas
    • 3
    • 4
  • Han Yu
    • 1
  1. 1.School of Information and Safety EngineeringZhongnan University of Economics and LawWuhanChina
  2. 2.State Key Laboratory for Novel Software TechnologyNanjing UniversityNanjingChina
  3. 3.National University of Sciences and TechnologyIslamabadPakistan
  4. 4.Florida Institute of TechnologyMelbourneUSA

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