Abstract
Uncovering the patterns that characterize human behavior is not only one of the main challenges of contemporary science, but also of outstanding importance for the understanding and modeling of many real phenomena which dynamics is related to the way in which people are connected and interact and to the mechanisms that govern the dynamics of such interactions.
Science advances whenever we can take something that was once invisible and make it visible; and this is now taking place with regard to social networks and social processes. —Jon Kleinberg.
“The Convergence of Social and Technological Networks” (Kleinberg 2008)
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References
Adamic L, Glance N (2005) The political blogosphere and the 2004 U.S. election: divided they blog. In: LinkKDD ’05 Proceedings of the 3rd international workshop on link, discovery. ACM, New York, pp 36–43
Albert R, Jeong H, Barabási A-L (1999) The diameter of the world wide web. Nature 1999(491):130–131
Aral S, Van Alsyne M (2007) Network structure and information advantage. In: Proceeding of the academy of management conference, Philadelphia, PA
Barabási A-L (2003) Linked, the new science of networks: how everything is connected to everything else and what it means. Plume Books, New York
Barabási A-L (2010) Bursts: the hidden pattern behind everything we do. Dutton Books, New York
Barabási A-L, Albert R, Jeong H (2000) Scale-free characteristics of random networks: the topology of the world-wide web. Physica A 281:1–4
Barabási A-L, Jeong H, Ravasz R, Neda Z, Vicsek T, Schubert A (2002) Evolution of the social network of scientific collaborations. Phys A 311:590–614
Barabási A-L (2005) The origin of bursts and heavy tails in human dynamics. Nat Sci Rep 435:207–211
Barrat A, Barthélemy M, Pastor-Satorras R, Vespignani A (2004) The architecture of complex weighted networks. Proc Natl Acad Sci USA 101:3747
Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang D-U (2006) Complex networks: structure and dynamics. Phys Rep 424:175
Buchanan M (2002) Small world: uncovering nature’s hidden networks. Weidenfeld and Nicholson, London
Burt R (2000) Decay functions. Soc Netw 22:1–28
Colizza V, Barrat A, Barthélemy M, Vespignani A (2007) Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study. BMC Med 5:34
Díaz-Guilera A (2007) Complex networks: statics and dynamics. In: AIP conference proceedings, advanced summer school in physics 2006: frontiers in contemporary physics: EAV06, vol 885, pp 107–128
Díaz-Guilera A, Sergio L, Arenas A (2009) Propagation of innovation in complex patterns of interaction. In: Pyka A, Scharnhorst A (eds) Innovation networks: new approaches in modeling and analyzing, Springer, Berlin
Domingos P, Richardson M (2001) Mining the network value of customers. In: KDD ’01 Proceedings of the 7th ACM SIGKDD international conference on knowledge discovery and data mining. ACM Press, New York, pp 57–66
Ebel H, Mielsch L, Bornholdt S (2002) Scale-free topology of e-mail networks. Phys Rev E 66:035103
Eckmann J-P, Moses E, Sergi D (2004) Entropy of dialogues creates coherent structures in e-mail traffic. Proc Natl Acad Sci USA 40:14333–14337
Eubank S, Guclu H (2004) Modeling disease outbreaks in realistic urban social networks. Nature 429:180–184
Faloutsos M, Faloutsos P, Faloutsos C (1999) On relationships of the internet topology. In: SIGCOMM computer communication, vol 29. ACM, New York, pp 251–262
Freeman LC (1996) Some antecedents of social network analysis. Connections 19(1):39–42
Giles J (2012) Computational social science: making the links. Nature 488:448
González M, Barabási A-L (2007) Complex networks: from data to models. Nat Phys 3:224–225
Grabowicz P, Ramasco J, Moro E, Pujol J, Eguiluz V (2012) Social features of online networks: the strength of intermediary ties in online social media. PLoS ONE 7(1):e29358
Gross R, Acquisti A (2005) Information revelation and privacy in online social networks. In: WPES ’05 Proceedings of the 2005 ACM workshop on privacy in the electronic society, New York, pp 71–80
Guimerá R, Danon L, Díaz-Guilera A, Giralt F, Arenas A (2006) The real communication network behind the formal chart: community structure in organizations. J Econ Behav Organ 61:653–667
Haight FA (1967) Handbook of the poisson distribution. Wiley, New York
Hidalgo C, Rodriguez-Sickert C (2008) The dynamics of a mobile phone network. Phys A 387:3017
Holme P, Saramäki J (2012) Temporal networks. Phys Rep 519:97–125
Iribarren J, Moro E (2009) Impact of human activity patterns on the dynamics of information diffusion. Phys Rev Lett 103:038702
Karsai M, Kivelä M, Pan R, Kaski K, Kertész J, Barabási A-L (2011) Small but slow world: how network topology and burstiness slow down spreading. Phys Rev E 83:025102(R)
Kleinberg J (2008) The convergence of social and technological networks. Commun ACM 51(11):66–72
Kossinets G, Watts DJ (2006) Empirical analysis of an evolving social network. Science 311:5757
Kwak H, Lee C, Park H, Moon S (2010) What is Twitter, a social network or a news media? In: Proceedings of the 19th international conference on, world wide web. ACM, New York, pp 591–600
Lazer D, Pentland A, Adamic L, Aral S, Barabási A-L, Brewer N, Christakis NA, Contractor N, Fowler J, Gutmann M, Jebara T, King G, Macy M, Roy D, Van Alsyne M (2009) Computational social science. Science 323:721–723
Lloyd AL, May R (2001) How viruses spread among computers and people. Science 292:1316–1317
Malmgren RD, Stouffer DB, Motter AE, Amaral LAN (2008) A poissonian explanation for heavy tails in e-mail communication. Proc Natl Acad Sci USA 105:18153–18158
Miritello G, Moro E, Lara R (2011) Dynamical strength of social ties in information spreading. Phys Rev E 83:045102(R)
Nanavati AA, Singh R, Chakraborty D, Dasgupta K, Mukherjea S, Das G, Gurumurthy S, Joshi A (2008) Analyzing the structure and evolution of massive telecom graphs. IEEE Trans Knowl Data Eng 20:5
Newman MEJ (2001b) The structure of scientific collaboration networks. Proc Natl Acad Sci USA 98:404–409
Newman MEJ, Park J (2003) Why social networks are different from other types of networks. Phys Rev E 68:036122
Newman MEJ (2003b) The structure and function of complex networks. SIAM Rev 45:167–256
Onnela J, Chakraborti A, Kaski K, Kertész J, Kanto A (2003) Dynamics of market correlations: taxonomy and portfolio analysis. Phys Rev E 68:056110
Onnela J-P, Saramäki J, Hyvönen J, Szabó Z, Lazer D, Kaski K, Kertész J, Barabási A-L (2007) Structure and tie strengths in mobile communication networks. Proc Natl Acad Sci USA 104:7332
Palla G, Barabási A-L, Tamás V (2007) Community dynamics in social networks. Noise Stoch Complex Syst Finan 6601:660106
Palla G, Barabási A-L, Vicsek T (2007) Quantifying social group evolution. Nature 446:664–667
Rybski D, Buldyrev SV, Havlin S, Liljeros F, Makse HA (2010) Communication activity: temporal correlations, clustering, and, growth. arXiv:1002.0216v1
Saramäki J, Onnela J-P, Kertész J, Kaski K (2005) Characterizing motifs in weighted complex networks. In: Mendes JFF et al (eds) Science of complex networks, AIP conference proceeding, vol 776, pp 108
Scott J (2000) Social network analysis: a handbook. Sage Publications, London
Strogatz SH (2001) Exploring complex networks. Nature 410:268–276
Tantipathananand C, Berger-Wolf T, Kempe D (2007) A framework for community identification in dynamic social networks. In: KDD’07 Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining, pp 717–726
Vázquez A, Rácz B, Lukács A, Barabási A-L (2007) Impact of non-poissonian activity patterns on spreading processes. Phys Rev Lett 98:158702
Vespignani A (2009) Predicting the behavior of techno-social system. Science 325:425–428
Vragović I, Louis E, Díaz-Guilera A (2005) Efficiency of informational transfer in regular and complex networks. Phys Rev E 71:036122
Wasserman S, Faust K (1994) Social networks analysis. Cambridge University Press, Cambridge
Watts DJ, Strogatz SH (1998) Collective dynamics of ’small-world’ networks. Nature 393:440–442
Watts DJ (2004) The ”new” science of networks. Annu Rev Sociol 30:243–270
Watts DJ (2007) Connections: a twenty-first century science. Nature 445:489
Wuchty S, Uzzi B (2011) Human communication dynamics in digital footsteps: a study of the agreement between self-reported ties and email networks. PLoS ONE 6(11):e26972
Zhao Q, Oliver N (2010) Communication motifs: a novel approach to characterize mobile communications. In: NetMob2010
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Miritello, G. (2013). Introduction and Motivations. In: Temporal Patterns of Communication in Social Networks. Springer Theses. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00110-4_1
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