Multidimensional networks: foundations of structural analysis

Michele Berlingerio1, Michele Coscia2, Fosca Giannotti3, Anna Monreale4, Dino Pedreschi4
1IBM Research, IBM Technology Campus, Damastown Industrial Estate, Dublin 15, Ireland
2Center for International Development, Harvard University, Cambridge, USA
3KDDLab, ISTI - CNR, Pisa, Italy
4KDDLab, Dept. of Computer Science, University of Pisa, Pisa, Italy

Tóm tắt

Từ khóa


Tài liệu tham khảo

Abello, J., Buchsbaum, A.L., Westbrook, J.R.: A functional approach to external graph algorithms. In: Algorithmica, pp. 332–343. Springer (1998)

Adamic, L.A., Lukose, R.M., Puniyani, A.R., Huberman, B.A.: Search in power-law networks. Phys. Rev. E 64(46135) (2001)

Aiello, W., Chung, F., Lu, L.: A random graph model for massive graphs. In: STOC, pp. 171–180. ACM (2000)

Angelova, R., Kasneci, G., Weikum, G.: Graffiti: graph-based classification in heterogeneous networks. World Wide Web 15, 139–170 (2012). doi: 10.1007/s11280-011-0126-4

Barabási, A.L.: Linked: The New Science of Networks. Perseus Books Group (2002)

Barabasi, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509 (1999)

Benevenuto, F., Rodrigues, T., Cha, M., Almeida, V.A.F.: Characterizing user behavior in online social networks. In: Internet Measurement Conference, pp. 49–62 (2009)

Berlingerio, M., Coscia, M., Giannotti, F.: Mining the temporal dimension of the information propagation. In: IDA, pp. 237–248 (2009)

Berlingerio, M., Coscia, M., Giannotti, F.: Finding and characterizing communities in multidimensional networks. In: ASONAM, pp. 490–494 (2011)

Berlingerio, M., Coscia, M., Giannotti, F., Monreale, A., Pedreschi, D.: Foundations of multidimensional network analysis. In: ASONAM, pp. 485–489 (2011)

Berlingerio, M., Coscia, M., Giannotti, F., Monreale, A., Pedreschi, D.: The pursuit of hubbiness: analysis of hubs in large multidimensional networks. J. Comput. Sci. 2, 223–237 (2012)

Berlingerio, M., Pinelli, F., Nanni, M., Giannotti, F.: Temporal mining for interactive workflow data analysis. In: KDD pp. 109–118 (2009)

Bringmann, B., Berlingerio, M., Bonchi, F., Gionis, A.: Learning and predicting the evolution of social networks. IEEE Intell. Syst. 25, 26–35 (2010)

Musial, K., Kazienko, P.: Social networks on the internet. World Wide Web J. (2012). doi: 10.1007/s11280-011-0155-z

Buchanan, M.: Nexus: Small Worlds and the Groundbreaking Theory of Networks. W.W. Norton & Co. (2003)

De Castro, R., Grossman, J.W.: Famous trails to Paul Erds. Math. Intell. 21, 51–63 (1999)

Chakrabarti, D., Faloutsos, C.: Graph mining: laws, generators, and algorithms. ACM Comput. Surv. 38 (2006)

Chakrabarti, D., Zhan, Y., Faloutsos, C.: R-mat: a recursive model for graph mining. In: ICDM (2004)

Chen, C., Yan, X., Zhu, F., Han, J., Yu, P.S.: Graph olap: towards online analytical processing on graphs. In: ICDM, pp. 103–112 (2008)

Cook, D.J., Crandall, A.S., Singla, G., Thomas, B.: Detection of social interaction in smart spaces. Cybern. Syst. 41(2), 90–104 (2010)

Donato, D.: Graph structures and algorithms for query-log analysis. In: Ferreira, F., Löwe, B., Mayordomo, E., Mendes Gomes, L. (eds.) CiE, Lecture Notes in Computer Science, vol. 6158, pp. 126–131. Springer (2010)

Faloutsos, M., Faloutsos, P., Faloutsos, C.: On power-law relationships of the internet topology. In: SIGCOMM, pp. 251–262 (1999)

Gomez-Rodriguez, M., Leskovec, J., Krause, A.: Inferring networks of diffusion and influence. In: KDD, pp. 1019–1028 (2010)

Jeong, H., Mason, S.P., Barabasi, A.L., Oltvai, Z.N.: Lethality and centrality in protein networks. Nature 411(6833), 41–42 (2001)

Jeong, H., Tombor, B., Albert, R., Oltvai, Z.N., Barabási, A.L.: The large-scale organization of metabolic networks. Nature 407(6804), 651–654 (2000)

Kashima, H., Kato, T., Yamanishi, Y., Sugiyama, M., Tsuda, K.: Link propagation: a fast semi-supervised learning algorithm for link prediction. In: SDM, pp. 1099–1110. SIAM (2009)

Kleinberg, J.M., Kumar, R., Raghavan, P., Rajagopalan, S., Tomkins, A.S.: The Web as a Graph: Measurements, Models, and Methods (1999)

Leskovec, J., Huttenlocher, D., Kleinberg, J.: Predicting positive and negative links in online social networks. In: WWW, pp. 641–650. ACM (2010)

Mucha, P.J., Richardson, T., Macon, K., Porter, M.A., Onnela, J.-P.: Community structure in time-dependent, multiscale, and multiplex networks. Science 328, 876 (2010)

Newman, M.E.J.: The Structure and Function of Complex Networks (2003)

Nowell, D.L., Kleinberg, J.: The link prediction problem for social networks. In: CIKM ’03, pp. 556–559. ACM (2003)

Pass, G., Chowdhury, A., Torgeson, C.: A picture of search. In: InfoScale ’06, p. 1. ACM (2006)

Redner, S.: How popular is your paper? an empirical study of the citation distribution. Eur. Phys. J., B Cond. Matter Complex Syst. 4(2), 131–134 (1998)

Rossetti, G., Berlingerio, M., Giannotti, F.: Scalable link prediction on multidimensional networks. In: Spiliopoulou, M., Wang, H., Cook, D.J., Pei, J., Wang, W., Zaïane, O.R., Wu, X. (eds.) ICDM Workshops, pp, 979–986. IEEE (2011)

Szell, M., Lambiotte, R., Thurner, S.: Trade, conflict and sentiments: multi-relational organization of large-scale social networks. PNAS 107(31), 13636–13641. arXiv.1003.5137 (2010)

Tang, L., Liu, H.: Relational learning via latent social dimensions. In: KDD, pp. 817–826. ACM (2009)

Watts, D.J.: Six Degrees: The Science of a Connected Age (2003)

Yan, X., Han, J.: gspan: graph-based substructure pattern mining. ICDM ’02, pp. 721–724 (2002)

Yang, J., Leskovec, J.: Modeling information diffusion in implicit networks. In: Webb, G.I., Liu, B., Zhang, C., Gunopulos, D., Wu, X. (eds.) ICDM, pp. 599–608. IEEE Computer Society (2010)

Zhao, P., Yu., J.: Fast frequent free tree mining in graph databases. World Wide Web 11, 71–92 (2008). doi: 10.1007/s11280-007-0031-z