Abstract
The number of people using on-line social networks as a new way of communication is continually increasing. The messages that a user writes in these networks and his/her interactions with other users leave a digital trace that is recorded. In order to understand what is going on in these virtual environments, it is necessary to use systems that collect, process, and analyze the information generated. Currently, there are tools that analyze all the information related to an on-line event once the event finished or on a specific point of time (i.e., without considering the evolution of users’ actions during the event). In this article, we present a multi-agent system (MAS) that deals with the analysis of the evolution of users’ interactions in events on on-line social networks during a period of time. The system offers a complete vision of what is happening in an event. We evaluated its functionality through the analysis of a set of events on Twitter.
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Abdulrahman R, Neagu D, Holton D (2011) Multi agent system for historical information retrieval from online social networks. Agent Multi-Agent Syst Technol Appl 6682:54–63
Borge-Holthoefer J, Rivero A, García I, Cauhé E, Ferrer A, Ferrer D, Francos D, Iñiguez D, Pérez MP, Ruiz G et al (2011) Structural and dynamical patterns on online social networks: the spanish may 15th movement as a case study. PLoS One 6(8)
Borondo J, Morales AJ, Losada JC, Benito RM (2013) Characterizing and modeling an electoral campaign in the context of twitter: 2011 spanish presidential election as a case study
Chau DH, Pandit S, Wang S, Faloutsos C (2007) Parallel crawling for online social networks. In: Proceedings of the 16th WWW, pp 1283–1284. ACM
Esparcia S, Argente E, Julián V, Botti V (2014) Gormas: a methodological guideline for organizational-oriented open mas. In: Handbook on agent-oriented design processes, pp 173–218
Gatti M, Cavalin P, Neto SB, Pinhanez C, dos Santos C, Gribel D, Appel AP (2014) Large-scale multi-agent-based modeling and simulation of microblogging-based online social network. In: Multi-agent-based simulation XIV, pp 17–33
Kossinets G, Watts D (2006) Empirical analysis of an evolving social network. Science 311(5757):88–90
Kumar R, Novak J, Tomkins A (2010) Structure and evolution of online social networks. In: Link mining: models, algorithms, and applications, pp 337–357. Springer
Licoppe C, Smoreda Z (2005) Are social networks technologically embedded?: How networks are changing today with changes in communication technology. Soc Netw 27(4):317–335
Lotan G, Graeff E, Ananny M, Gaffney D, Pearce I, Boyd D (2011) The revolutions were tweeted: information flows during the 2011 tunisian and egyptian revolutions. Int J Commun 5:1375–1405
Morales A, Losada J, Benito R (2011) Structure and dynamics of emerging social networks from twitter’s conversation. Int J Complex Syst Sci 1(2):216–220
Stockman FN, Doreian P (1997) Evolution of social networks: processes and principles. In: Evolution of social networks, pp 233–250. Routledge
Wasserman S, Faust K (1994) Social network analysis: methods and applications. Cambridge University Press
Acknowledgments
This work is supported by the Spanish government grants CONSOLIDER INGENIO 2010 CSD2007-00022, MINECO/FEDER TIN2012-36586-C03-01, TIN2011-27652-C03-01, and SP2014800.
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Val, E.d., Martínez, C., Botti, V. (2015). A Multi-agent Framework for the Analysis of Users Behavior over Time in On-Line Social Networks. In: Herrero, Á., Sedano, J., Baruque, B., Quintián, H., Corchado, E. (eds) 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-319-19719-7_17
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DOI: https://doi.org/10.1007/978-3-319-19719-7_17
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