A Model to Support Multi-Social-Network Applications

  • Francesco Buccafurri
  • Gianluca Lax
  • Serena Nicolazzo
  • Antonino Nocera
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8841)

Abstract

It is not uncommon that people create multiple profiles in different social networks, spreading out over them personal information. This leads to a multi-social-network scenario where different social networks cannot be viewed as monads, but are strongly correlated to each other. Building a suitable middleware on top of social networks to support internetworking applications is an important challenge, as the global view of the social network world provides very powerful knowledge and opportunities. In this paper, we do a first important step towards this goal, by defining and implementing a model aimed at generalizing concepts, actions and relationships of existing social networks.

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References

  1. 1.
    Videotrine. The most viewed videos on Youtube in the World of all time (2014), http://en.videotrine.com/all/youtube/all-time
  2. 2.
    Brickley, D., Miller, L.: FOAF Vocabulary Specification 0.91. Technical report, Tech. rep. ILRT Bristol (2000), http://xmlns.com/foaf/spec/20071002.html
  3. 3.
    Buccafurri, F., Foti, V., Lax, G., Nocera, A., Ursino, D.: Bridge Analysis in a Social Internetworking Scenario. Information Sciences 224, 1–18 (2013)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Buccafurri, F., Lax, G., Nicolazzo, S., Nocera, A., Ursino, D.: Driving Global Team Formation in Social Networks to Obtain Diversity. In: Casteleyn, S., Rossi, G., Winckler, M. (eds.) ICWE 2014. LNCS, vol. 8541, pp. 410–419. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  5. 5.
    Buccafurri, F., Lax, G., Nocera, A., Ursino, D.: Crawling social internetworking systems. In: Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), pp. 506–510. IEEE Computer Society (2012)Google Scholar
  6. 6.
    Buccafurri, F., Lax, G., Nocera, A., Ursino, D.: Discovering Links among Social Networks. In: Flach, P.A., De Bie, T., Cristianini, N. (eds.) ECML PKDD 2012, Part II. LNCS, vol. 7524, pp. 467–482. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  7. 7.
    Buccafurri, F., Lax, G., Nocera, A., Ursino, D.: Moving from social networks to social internetworking scenarios: The crawling perspective. Information Sciences 256, 126–137 (2014)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Buccafurri, F., Lax, G., Nocera, A., Ursino, D.: A system for extracting structural information from social network accounts. Software: Practice and Experience (2014), doi:10.1002/spe.2280Google Scholar
  9. 9.
    Caldarelli, G.: Scale-Free Networks: Complex Webs in Nature and Technology. Number 9780199211517 in OUP Catalogue. Oxford University Press (2007)Google Scholar
  10. 10.
    Carmagnola, F., Cena, F.: User identification for cross-system personalisation. Information Sciences 179(1-2), 16–32 (2009)CrossRefGoogle Scholar
  11. 11.
    Erdös, P., Rényi, A.: On Random Graphs, I. Publicationes Mathematicae 6, 290–297 (1959)MATHGoogle Scholar
  12. 12.
    Ghoshal, G., Zlatić, V., Caldarelli, G., Newman, M.E.J.: Random hypergraphs and their applications. Physical Review E 79(6), 066118 (2009)CrossRefGoogle Scholar
  13. 13.
    Greve, A., Salaff, J.W.: Social networks and entrepreneurship. Entrepreneurship Theory and Practice 28(1), 1–22 (2003)CrossRefGoogle Scholar
  14. 14.
    Iofciu, T., Fankhauser, P., Abel, F., Bischoff, K.: Identifying users across social tagging systems. In: Proc. of the International Conference on Weblogs and Social Media (ICWSM 2011), Barcelona, Catalonia, Spain. The AAAI Press (2011)Google Scholar
  15. 15.
    Iturrioz, J., Diaz, O., Arellano, C.: Towards federated web2. 0 sites: The tagmas approach. In: Tagging and Metadata for Social Information Organization Workshop, WWW 2007 (2007)Google Scholar
  16. 16.
    Karypis, G., Aggarwal, R., Kumar, V., Shekhar, S.: Multilevel hypergraph partitioning: applications in VLSI domain. IEEE Transactions on Very Large Scale Integration (VLSI) Systems 7(1), 69–79 (1999)CrossRefGoogle Scholar
  17. 17.
    Kim, M., Leskovec, J.: Modeling social networks with node attributes using the multiplicative attribute graph model. arXiv preprint arXiv:1106.5053 (2011)Google Scholar
  18. 18.
    Leenders, R.T.: Modeling social influence through network autocorrelation: constructing the weight matrix. Social Networks 24(1), 21–47 (2002)CrossRefGoogle Scholar
  19. 19.
    Leskovec, J., Chakrabarti, D., Kleinberg, J., Faloutsos, C., Ghahramani, Z.: Kronecker graphs: An approach to modeling networks. The Journal of Machine Learning Research 11, 985–1042 (2010)MATHMathSciNetGoogle Scholar
  20. 20.
    Lovász, L.: Random walks on graphs: A survey. Combinatorics, Paul Erdos is Eighty 2(1), 1–46 (1993)Google Scholar
  21. 21.
    Mika, P.: Ontologies are us: A unified model of social networks and semantics. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 522–536. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  22. 22.
    Newman, M.E.J., Watts, D.J., Strogatz, S.H.: Random graph models of social networks. Proceedings of the National Academy of Sciences 99(suppl. 1), 2566–2572 (2002)CrossRefMATHGoogle Scholar
  23. 23.
    Noor, S., Martinez, K.: Using social data as context for making recommendations: an ontology based approach. In: Proceedings of the 1st Workshop on Context, Information and Ontologies, p. 7. ACM (2009)Google Scholar
  24. 24.
    Romm, C., Pliskin, N., Clarke, R.: Virtual communities and society: toward an integrative three phase model. International Journal of Information Management 17(4), 261–270 (1997)CrossRefGoogle Scholar
  25. 25.
    Specia, L., Motta, E.: Integrating folksonomies with the semantic web. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 624–639. Springer, Heidelberg (2007)Google Scholar
  26. 26.
    Stewart, A., Diaz-Aviles, E., Nejdl, W., Marinho, L.B., Nanopoulos, A., Schmidt-Thieme, L.: Cross-tagging for personalized open social networking. In: Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, pp. 271–278. ACM (2009)Google Scholar
  27. 27.
    Stutzback, D., Rejaie, R., Duffield, N., Sen, S., Willinger, W.: On unbiased sampling for unstructured peer-to-peer networks. In: Proc. of the International Conference on Internet Measurements, Rio De Janeiro, Brasil, pp. 27–40. ACM (2006)Google Scholar
  28. 28.
    Wang, A.H.: Don’t follow me: Spam detection in twitter. In: Proceedings of the 2010 International Conference on Security and Cryptography (SECRYPT), pp. 1–10. IEEE (2010)Google Scholar
  29. 29.
    Wang, X., Wei, F., Liu, X., Zhou, M., Zhang, M.: Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 1031–1040. ACM (2011)Google Scholar
  30. 30.
    Wilken, P.H.: Entrepreneurship: A comparative and historical study. Ablex, Norwood (1979)Google Scholar
  31. 31.
    Ye, S., Lang, J., Wu, F.: Crawling online social graphs. In: Proc. of the International Asia-Pacific Web Conference (APWeb 2010), Busan, Korea, pp. 236–242. IEEE (2010)Google Scholar
  32. 32.
    Zafarani, R., Liu, H.: Connecting corresponding identities across communities. In: Proc. of the International Conference on Weblogs and Social Media (ICWSM 2009), San Jose, CA, USA. The AAAI Press (2009)Google Scholar
  33. 33.
    Zhang, Z., Liu, C.: A hypergraph model of social tagging networks. Journal of Statistical Mechanics: Theory and Experiment 2010(10), P10005 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Francesco Buccafurri
    • 1
  • Gianluca Lax
    • 1
  • Serena Nicolazzo
    • 1
  • Antonino Nocera
    • 1
  1. 1.DIIES, University of Reggio CalabriaReggio CalabriaItaly

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