Efficiency of human activity on information spreading on Twitter

Social Networks

Volumn 39, Issue 1, 2014, Pages 1-11

  Morales, A J ^a   Borondo, J ^a   Losada, J C ^a   Benito, R M ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Complex networks; Influence; Information spreading; Social networks analysis; Twitter; User behavior

Indexed keywords

EID: 84900322348     PISSN: 03788733     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.socnet.2014.03.007     Document Type: Article

References (35)

1. Asur S., Huberman B.A., Szab G., Wang C. Trends in social media: persistence and decay 2011, CoRR abs/1102.1402. http://dblp.uni-trier.de/db/journals/corr/corr1102.html#abs-1102-1402.
2. Bakshy E., Hofman J.M., Mason W.A., Watts D.J. Everyone's an influencer: quantifying influence on twitter. Proceedings of the Fourth ACM International conference on Web Search and Data Mining. WSDM'11 2011, 65-74. ACM, New York, NY, USA. 10.1145/1935826.1935845.
3. Bollen J., Mao H., Zeng X.-J. Twitter mood predicts the stock market. J. Comput. Sci. 2011, 2(1):1-8. http://dblp.uni-trier.de/db/journals/jocs/jocs2.html#BollenMZ11.
4. Borondo J., Morales A.J., Losada J.C., Benito R.M. Characterizing and modeling an electoral campaign in the context of twitter: 2011 Spanish presidential election as a case study. Chaos 2012, 22(2):023138. 10.1063/1.4729139.
5. Boyd D., Golder S., Lotan G. Tweet, tweet, retweet: conversational aspects of retweeting on twitter. HICSS 2010, 1-10. http://dblp.uni-trier.de/db/conf/hicss/hicss2010.htm#BoydGL10.
6. Cha M., Haddadi H., Benevenuto F., Gummadi K.P. Measuring user influence in twitter: the million follower fallacy. ICWSM '10: Proceedings of International AAAI Conference on Weblogs and Social 2010.
7. Cheng A., Evans M. An in-depth look inside the twitter world 2009, http://www.sysomos.com/insidetwitter.
8. Cisco S. Cisco visual networking index: Forecast and methodology, 2012-2017. White Paper 2013.
9. Culotta A. Towards detecting influenza epidemics by analyzing twitter messages. Proceedings of the First Workshop on Social Media Analytics. SOMA'10 2010, 115-122. ACM, New York, NY, USA. 10.1145/1964858.1964874.
10. Galuba W., Aberer K., Chakraborty D., Despotovic Z., Kellerer W. Outtweeting the twitterers - predicting information cascades in microblogs. Proceedings of the 3rd Conference on Online Social Networks. WOSN'10 2010, 3. USENIX Association, Berkeley, CA, USA. http://dl.acm.org/citation.cfm?id=1863190.1863193.
11. Gayo-Avello D. I wanted to predict elections 2012, CoRR abs/1204.6441.
12. Goldenberg J., Libai B., Muller E. Talk of the network: a complex systems look at the underlying process of word-of-mouth. Market. Lett. 2001, 12(3):221-223.
13. Hu H.-B., Wang X.-F. Disassortative mixing in online social networks. Europhys. Lett. 2009, 86(1):18003. http://stacks.iop.org/0295-5075/86/i=1/a=18003.
14. Huberman B.A., Romero D.M., Wu F. Social networks that matter: twitter under the microscope. First Monday 2009, 14(1). http://www.hpl.hp.com/research/scl/papers/twitter/twitter.pdf.
15. Infiniti R. Global revenue assurance market in the telecom sector 2012-2016. White Paper 2013, http://www.researchandmarkets.com/research/2xf3v2/global_revenue.
16. Iribarren J.L., Moro E. Affinity paths and information diffusion in social networks. Soc. Netw. 2011, 33(2):134-142. http://www.sciencedirect.com/science/article/pii/S0378873310000596.
17. Iribarren J.L., Moro E. Branching dynamics of viral information spreading. Phys. Rev. E 2011, 84:046116.
18. Kwak H., Lee C., Park H., Moon S. What is twitter, a social network or a news media?. WWW'10: Proceedings of the 19th International Conference on World Wide Web 2010, 591-600. ACM, New York, NY, USA.
19. Lazer D., Pentland A., Adamic L., Aral S., Barabasi A.-L., Brewer D., Christakis N., Contractor N., Fowler J., Gutmann M., Jebara T., King G., Macy M., Roy D., Alstyne M.V. Social science: Computational social science. Science 2009, 323(February (5915)):721-723. 10.1126/science.1167742.
20. Lehmann J., Gonçalves B., Ramasco J.J., Cattuto C. Dynamical classes of collective attention in twitter. Proceedings of the 21st International Conference on World Wide Web. WWW'12 2012, 251-260. ACM, New York, NY, USA. 10.1145/2187836.2187871.
21. Lewis Kevin, Kaufman Jason, Gonzalez Marco, Wimmer Andreas, Christakis Nicholas Tastes, ties, and time: a new social network dataset using Facebook.com. Soc. Netw. Oct. 2008, 30(4):330-342. 10.1016/j.socnet.2008.07.002.
22. Livne A., Simmons M.P., Adar E., Adamic L.A. The party is over here: structure and content in the 2010 election. ICWSM 2011, The AAAI Press. http://dblp.uni-trier.de/db/conf/icwsm/icwsm2011.html#LivneSAA11, L.A. Adamic, R.A. Baeza-Yates, S. Counts (Eds.).
23. Mislove A., Lehmann S., Ahn Y.-Y., Onnela J.-P., Rosenquist J.N. Understanding the demographics of twitter users. ICWSM 2011, The AAAI Press. http://dblp.uni-trier.de/db/conf/icwsm/icwsm2011.html#MisloveLAOR11, L.A. Adamic, R.A. Baeza-Yates, S. Counts (Eds.).
24. Mitzenmacher M. A brief history of generative models for power law and lognormal distributions. Internet Math. 2004, 1(2):226-251. http://www.eecs.harvard.edu/michaelm/CS223/powerlaw.pdf.
25. Morales A.J., Losada J.C., Benito R.M. Users structure and behavior on an online social network during a political protest. Phys. A: Stat. Mech. Appl. 2012, 391(21):5244-5253. http://www.sciencedirect.com/science/article/pii/S037843711200386X.
26. Newman M.E.J. Mixing patterns in networks. Phys. Rev. E 2003, 67(2):026126.
27. Newman M.E.J. Power laws, Pareto distributions and Zipf's law. Contemp. Phys. 2005, 46(May (5)):323-351. 10.1080/00107510500052444.
28. Romero D.M., Galuba W., Asur S., Huberman B.A. Influence and passivity in social media. Proceedings of the ECML/PKDD 2011 2011.
29. Romero D.M., Tan C., Ugander J. Social-Topical Affiliations: The Interplay between Structure and Popularity 2011, http://arxiv.org/abs/1112.1115.
30. Sakaki T., Okazaki M., Matsuo Y. Earthquake shakes twitter users: real-time event detection by social sensors. Proceedings of the 19th International Conference on World wide web. WWW'10 2010, 851-860. ACM, New York, NY, USA. 10.1145/1772690.1772777.
31. Takhteyev Y., Gruzd A., Wellman B. Geography of Twitter networks. Soc. Netw. 2012, 34(January (1)):73-81.
32. Wang D., Wen Z., Tong H., Lin C.-Y., Song C., Barabasi A.-L. Information spreading in context. Proceedings of the 20th International Conference on World wide web. WWW'11 2011, 735-744. ACM, New York, NY, USA. 10.1145/1963405.1963508.
33. Watts D.J. A simple model of global cascades on random networks. Proc. Natl. Acad. Sci. 2002, 99(April (9)):5766-5771. 10.1073/pnas.082090499.
34. Wu F., Huberman B., Adamic L., Tyler J. Information flow in social groups. Phys. A: Stat. Mech. Appl. 2004, 337(1/2):327-335.
35. Xiong F., Liu Y., jiang Zhang Z., Zhu J., Zhang Y. An information diffusion model based on retweeting mechanism for online social media. Phys. Lett. A 2012, 376(30/31):2103-2108. http://www.sciencedirect.com/science/article/pii/S037596011200566X.