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Chin. Phys. B, 2014, Vol. 23(6): 060101    DOI: 10.1088/1674-1056/23/6/060101
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Impact of user influence on information multi-step communication in micro-blog

Wu Yue, Hu Yong, He Xiao-Hai, Deng Ken
College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, Chine
Abstract  User influence is generally considered as one of the most critical factors that affect the information cascading spreading. Based on the common assumption, this paper proposes a theoretical model to examine the force from user influence on the information multi-step communication in micro-blog. Multi-step of information communication is divided into first-step and non-first-step, and user influence is classified into five dimensions. Actual data from Sina micro-blog is collected to construct the model by means of an approach based on structural equations with Partial Least Squares (PLS) technique. Experimental results indicate that the dimensions of number of fans and authority significantly impact the information first-step communication. Leader rank has a positive impact on both first-step and non-first-step communication. Moreover, global centrality and weight of friends are positively related to the information non-first-step communication, but authority is found to have much less relation to it.
Keywords:  user influence      information multi-step communication      micro-blog      structural equations  
Received:  22 August 2013      Revised:  27 November 2013      Published:  15 June 2014
PACS:  01.10.-m (Announcements, news, and organizational activities)  
  02.50.-r (Probability theory, stochastic processes, and statistics)  
  89.75.Hc (Networks and genealogical trees)  
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 60873246) and China Information Technology Security Evaluation Center.
Corresponding Authors:  Hu Yong     E-mail:  huyong@scu.edu.cn
About author:  2014-4-15

Cite this article: 

Wu Yue, Hu Yong, He Xiao-Hai, Deng Ken Impact of user influence on information multi-step communication in micro-blog 2014 Chin. Phys. B 23 060101

[1] Shi C, Xu B, Lin H and Guo Q 2013 Natural Language Processing and Chinese Computing (Chongqing: China) p. 402
[2] Zhang K Z K, Lee M K O and Feng F 2013 Proceedings of the 17th Pacific Asia Conference on Information Systems, Jeju Island, Korea, p. 135
[3] Hu H Z, Wang D, Dai W and Li H 2012 African Journal of Business Management 6 9797
[4] Kwak H, Lee C, Park H and Moon S 2010 Proceedings of the 19th International World Wide Web (WWW) Conference, Raleigh, NC, USA, p. 26
[5] Bao P, Shen H W, Chen W and Cheng X Q 2013 PloS One 8 e76027
[6] Tatsuro K 2013 Physica A: Statistical Mechanics and Its Applications 392 3470
[7] Lü L Y, Chen D B and Zhou T 2011 New J. Phys. 13 123005
[8] Krapivsky P L, Redner S and Volovik D 2011 Journal of Statistical Mechanics: Theory and Experiment 12 12003
[9] Doerr B, Fouz M and Friedrich T 2012 Commun. ACM 55 70
[10] Zheng M, Lü L Y and Zhao M 2013 Phys. Rev. E 88 012818
[11] Chen D, Lü L Y, Shang M S, Zhang Y C and Zhou T 2012 Physica A: Statistical Mechanics and Its Applications 391 1777
[12] Yuan W G, Liu Y, Cheng J J and Xiong F 2013 Acta Phys. Sin. 62 038901 (in Chinese)
[13] Kitsak M, Gallos L K and Havlin S 2010 Nat. Phys. 6 888
[14] Even-Dar E and Shapira A 2007 Internet and Network Economics (Berlin/Heidelberg: Springer) p. 281
[15] Wu Z H, Peng L, Xie L B and Wen J W 2013 Chin. Phys. B 22 128901
[16] Wu Z H, Peng L, Xie L B and Wen J W 2012 Chin. Phys. B 21 128902
[17] Sun F L and Zhu W 2013 Chin. Phys. B 22 110204
[18] Luo X Y, Han N N and Guan X P 2010 Chin. Phys. B 19 100202
[19] Zhou Z C, Bandari R, Kong J, Qian H and Roychowdhury V 2010 Proceedings of the 1st Workshop on Social Media Analytics, Washington, DC, USA, p. 123
[20] Yang J and Counts S 2010 Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, California: The AAAI Press, p. 355
[21] Pal A and Counts S 2011 Proceedings of the Fourth ACM International Conference on Web Search and Data Mining. ACM, Kowloon, Hong Kong, China, p. 45
[22] Lü L Y, Zhang Y C, Yeung C H and Zhou T 2011 PloS One 6 e21202
[23] Freeman L C 1979 Social Networks 1 215
[24] Seidman S B 1983 Social Networks 5 269
[25] Bonacich P 1972 J. Math. Soc. 2 113
[26] Zhang Y C, Liu Y, Cheng H, Xiong F and Zhang C L 2011 Journal of Convergence Information Technology 6 243
[27] Morris M R, Counts S, Roseway A, Hoff A and Schwarz J 2012 Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, ACM, Washington, USA, p. 441
[28] Chen J and She J 2012 Distributed Computing Systems Workshops (ICDCSW), 32nd International Conference on IEEE, Macau, China, p. 147
[29] Hu H B, Guo J L and Chen J 2012 Chin. Phys. B 21 118902
[30] Li P, Zhang J, Xu X K and Small M 2012 Chin. Phys. Lett. 29 048903
[31] Hu Q C, Gao Y, Ma P F, Yin Y S, Zhang Y and Xing C X 2013 Acta Phys. Sin 62 140101 (in Chinese)
[32] Li Z, Lü T, Zhang X and Chen X 2013 Service Operations and Logistics, and Informatics (SOLI), IEEE International Conference on IEEE, Guangdong, China, p. 413
[33] Kaiser H F 1974 Psychometrika 39 31
[34] Bartlett M S 1954 J. R. Stat. Soc. 16B 296
[35] Nunnally J C 1978 Psychometric Theory, 2nd edn. (New York: McGraw-Hill)
[36] Bagozzi R P and Yi Y 1988 Journal of the Academy of Marketing Science 16 74
[37] http://vis.pku.edu.cn/weibova/weiboevents/index.html
[1] Impact of user influence on informationmulti-step communication in a micro-blog
Wu Yue, Hu Yong, He Xiao-Hai, Deng Ken. Chin. Phys. B, 0, (): 60101-060101.
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