Diffusion dynamics with changing network composition

Entropy

Volumn 15, Issue 11, 2013, Pages 4553-4568

  Baños, Raquel A ^a   Borge Holthoefer, Javier ^a   Wang, Ning ^b   Moreno, Yamir ^a,c   González Bailón, Sandra ^d  

^a UNIVERSITY OF ZARAGOZA   (Spain)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c ISI FOUNDATION   (Italy)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Collective behavior; Information cascades; Online networks; Political communication

Indexed keywords

EID: 84887203964     PISSN: None     EISSN: 10994300     Source Type: Journal    
DOI: 10.3390/e15114553     Document Type: Article

References (38)

1. Easley, D.; Kleinberg, J. Networks, Crowds, and Markets: Reasoning about a Highly Connected World; Cambridge University Press: New York, NY, USA, 2010.
2. Newman, M.E.J. Networks. An Introduction; Oxford University Press: Oxford, UK, 2010.
3. Wasserman, S.; Faust, K. Social Network Analysis: Methods and Applications; Cambridge University Press: Cambridge, UK, 1994.
4. Watts, D.J. Six Degrees. The Science of a Connected Age; William Heinemann: London, UK, 2003.
5. Borge-Holthoefer, J.; Rivero, A.; García, I.; Cauhé, E.; Ferrer, A.; Ferrer, D.; Francos, D.; Iñiguez, D.; Pérez, M.P.; Ruiz, G.; et al. Structural and dynamical patterns on online social networks: The spanish may 15th movement as a case study. PLoS One 2011, 6, e23883.
6. Conover, M.D.; Davis, C.; Ferrara, E.; McKelvey, K.; Menczer, F.; Flammini, A. The geospatial characteristics of a social movement communication network. PLoS One 2013, 8, e55957.
7. Conover, M.D.; Ferrara, E.; Menczer, F.; Flammini, A. The digital evolution of occupy wall street. PLoS One 2013, 8, e64679.
8. González-Bailón, S.; Borge-Holthoefer, J.; Moreno, Y. Broadcasters and hidden influentials in online protest diffusion. Am. Behav. Sci. 2013, 57, 943-965.
9. González-Bailón, S.; Borge-Holthoefer, J.; Rivero, A.; Moreno, Y. The dynamics of protest recruitment through an online network. Sci. Rep. 2011, 1, doi:10.1038/srep00197.
10. Centola, D.; Macy, M.W. Complex contagions and the weakness of long ties. Am. J. Sociol. 2007, 113, 702-734.
11. Granovetter, M. Threshold models of collective behavior. Am. J. Sociol. 1978, 83, 1420-1443.
12. Watts, D.J. A simple model of global cascades on random networks. Proc. Natl. Acad. Sci.USA 2002, 99, 5766-5771.
13. Gleeson, J.P.; Cahalane, D.J. Seed size strongly affects cascades on random networks. Phys. Rev. E 2007, 75, doi:10.1103/PhysRevE.75.056103 6104.
14. Pastor-Satorras, R.; Vespignani, A. Epidemic spreading in scale-free networks. Phys. Rev. Lett. 2001, 86, 3200-3203.
15. Moreno, Y.; Nekovee, M.; Pacheco, A.F. Dynamics of rumor spreading in complex networks. Phys. Rev. E 2004, 69, doi:10.1103/PhysRevE.69.066130.
16. Borge-Holthoefer, J.; Baños, R.A.; González-Bailón, S.; Moreno, Y. Cascading behaviour in complex socio-technical networks. J. Complex Netw. 2013, 1, 3-24, doi:10.1093/comnet/cnt006.
17. Newman, M.; Barabási, A.-L.; Watts, D.J. The Structure and Dynamics of Networks; Princeton University Press: Princeton, NJ, USA, 2006.
18. Albert, R.; Jeong, H.; Barabási, A.L. Error and attack tolerance of complex networks. Nature 2000, 406, 378-382.
19. Borge-Holthoefer, J.; Moreno, Y. Absence of influential spreaders in rumor dynamics. Phys. Rev. E 2012, 85, 026116, doi:10.1103/PhysRevE.85.026116.
20. Centola, D.; Eguiluz, V.M.; Macy, M.W. Cascade dynamics of complex propagation. Phys. A 2007, 374, 449-456.
21. Goyal, A.; Bonchi, F.; Lakshmanan, L.V.S. Learning Influence Probabilities in Social Networks. In Proceedings of the Third ACM International Conference on Web Search and Data Mining; ACM: New York, NY, USA, 2010; pp. 241-250.
22. Cha, M.; Haddadi, H.; Benevenuto, F.; Gummadi, K.P. Measuring User Influence in Twitter: The Million Follower Fallacy, In Proceedings of International AAAI Conference on Weblogs and Social Media (ICSWM), Washington, DC, USA, 23-26 May; AAAI: Washington, DC, USA, 2010.
23. Romero, D.M.; Meeder, B.; Kleinberg, J. Differences in the Mechanics of Information Diffusion Across Topics: Idioms, Political Hashtags, and Complex Contagion on Twitter, In Proceedings of International World Wide Web Conference, Hyderabad, India, 28 March-1 April; ACM: Hyderabad, India, 2011.
24. Granell, C.; Gomez, S.; Arenas, A. Dynamical interplay between awareness and epidemic spreading in multiplex networks. Phys. Rev. Lett. 2013, doi:10.1103/PhysRevLett.111.128701.
25. Vanilla-Rodirguez, N.; Scellato, S.; Haddadi, H.; Forsell, C.; Crowcroft, J.; Mascolo, C. Los Twindignados: The Rise of the Indignants Movement, In Proceedings of ASE/IEEE International Conference on Social Computing (SocialCom), Amsterdam, The Netherlands, 3-5 September; ASE/IEEE: Amsterdam, The Netherlands, 2012.
26. Baños, R.A.; Borge-Holthoefer, J.; Moreno, Y. The role of hidden influentials in the diffusion of online information cascades. EPJ Data Sci. 2013, 2, 6, doi:10.1140/epjds18.
27. González-Bailón, S.; Wang, N. The bridges and brokers of global campaigns in the context of social media. SSRN Work. Pap. 2013, Available online: http://ssrn.com/abstract=2268165 (accessed on 10 October 2013).
28. Castells, M. Networks of Outrage and Hope. Social Movements in the Internet Age; Polity: Cambridge, UK, 2012.
29. Gerbaudo, P. Tweets and the Streets. Social Media and Contemporary Activism; Pluto Books: London, UK, 2012.
30. Morstatter, F.; Pfeffer, J.; Liu, H.; Carley, K.M. Is the Sample Good Enough? Comparing Data from Twitter's Streaming Api with Twitter's Firehose, In Proceedings of International AAAI Conference on Weblogs and Social Media (ICSWM), Boston, MA, 8-10 July; AAAI: Boston, MA, USA, 2013.
31. Bonacich, P. Power and centrality: A family of measures. Am. J. Sociol. 1987, 92, 1170-1182.
32. Seidman, S.B. Network structure and minimum degree. Soc. Netw. 1983, 5, 269-287.
33. Borge-Holthoefer, J.; Rivero, A.; Moreno, Y. Locating privileged spreaders on an online social network. Phys. Rev. E 2012, 85, 066123.
34. Cha, M.; Benevenuto, F.; Haddadi, H.; Gummadi, K.P. The world of connections and information flow in twitter. IEEE Trans. Syst. Man Cybern. 2012, 42, 991-998.
35. Hope, A.C.A. A simplified monte carlo significance test procedure. J. R. Stat. Soc. B 1968, 30, 582-598.
36. Barabási, A.L.; Albert, R. Emergence of scaling in random networks. Science 1999, 286, 509-512.
37. Rogers, E.M. Diffusion of Innovations, 5th ed.; Free Press: New York, NY, USA, 2003.
38. Valente, T.W. Network Models of the Diffusion of Innovations; Hampton Press: Cresskill, NJ, USA, 1995.