**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**30761

##### A Type-2 Fuzzy Model for Link Prediction in Social Network

**Authors:**
Mansoureh Naderipour,
Susan Bastani,
Mohammad Fazel Zarandi

**Abstract:**

**Keywords:**
Social Network,
Granular Computing,
link prediction,
type-2 fuzzy sets

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1126401

**References:**

[1] H.R. Sa and R.B.C. Prudencio, “Supervised learning for link prediction in weighted networks. In: 2011 Int Joint Conf on Neural Networks (IJCNN),” 2010.

[2] S. Wasserman and J. Galaskiewicz, “Advances in social network analysis: Research in the social and behavioral sciences,” Thousand Oaks, CA: Sage, 1994.

[3] S. Boccaletti, V. Latora, Y. Moreno, M. Chavez and D.U. Hwang, “Complex networks: Structure and dynamics,” Physical Review E, Vol. 424(4), 2006, pp. 175–308.

[4] S. Wasserman and K. Faust, “Social network analysis: Methods and applications. New York: Cambridge University Press,” 1994.

[5] M.E.J. Newman and J. Park, “Why social networks are different from other types of networks,” Physical Review E, Vol. 68, 2003, pp. 036122.

[6] J. Scott, “Social network analysis: A handbook,” Thousand Oaks, CA: Sage, 2000.

[7] L. Backstrom and J. Leskovec, “Supervised random walks: Predicting and recommending links in social networks,” New York ACM, 2011.

[8] L. Lu, T. Zhou, “Link prediction in complex networks: A survey,” Phys A, Vol. 390(6), 2011, pp. 1150–1170.

[9] S. Bastani, A. KhaliliJafarabad and M.H. Fazel Zarandi, “Fuzzy Models for Link Prediction in Social Networks,” International Journal of Intelligent Systems, Vol. 28, 2013, pp. 768–786.

[10] J. M. Mendel, R. I. B. John, “Type-2 Fuzzy Sets Made Simple,” IEEE Transactions on Fuzzy Systems, Vol. 10(2), April 2002

[11] L.A. Zadeh, “Fuzzy sets,” Inform Control, Vol. 8(3), 1965, pp. 338–353.

[12] J.M. Mendel, “Computing with words and its relationships with fuzzistics,” Information Sciences, Vol. 77(4), 2007, pp. 988–1006.

[13] L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoning,” Information Sciences, Vol. 8, 1975, pp. 43–80.

[14] D. Hidalgo, P. Melin and O. Castillo, “An optimization method for designing type-2 fuzzy inference systems based on the footprint of uncertainty using genetic algorithms,” Expert Systems with Applications, Vol. 39, 2012, pp. 4590–4598.

[15] J.M. Mendel, “Uncertain rule-based fuzzy logic systems introduction and new directions,” Prentice Hall, 2001a.

[16] C. Bettstetter, “On the minimum node degree and connectivity of awireless multihop network,” In: MobiHoc ’02, Proc 3rd ACM IntSymp on Mobile Ad-Hoc Networking & Computing, 2002.

[17] L.A. Zadeh, “Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic,” Fuzzy Sets Syst, Vol. 90(2), 2013, pp. 111-127.

[18] A. Bargiela and W. Pedrycz, “Granular computing: an introduction”. Berlin: Springer; 2003.

[19] M. McPherson, L. Smith-Lovin and J.M Cook, “Birds of a feather: Homophily in social networks,” Annual Review of Sociology, Vol. 27, 2001, pp. 415-444.

[20] J. Saramaki, M. Kivela, J.P. Onnela, K. Kaski and J. Kertesz, “Generalizations of the clustering coefficient to weighted complex networks,” Physical Review E, Vol. 75(2), 2007, pp. 027105.

[21] D. LibenNowell and J. Kleinberg, “The link prediction problem for social networks,” American Society for Information Science and Technology, Vol. 58(7), 2007, pp. 1019-1031.

[22] A. Clauset, C. Moore and M.E. Newman, “Hierarchical structure and the prediction of missing links in networks,” Nature, Vol. 453(7191), 2008, pp. 98–101.

[23] A. Blum, T.H. Chan and M.R. Rwebangira, “A random-surfer web-graph model”, In: ANALCO ‘06, Proc Eigth Workshop on Algorithm Engineering and Experiments and the Third Workshop on Analytic Algorithmics and Combinatorics,2006, pp. 238–246.

[24] M. Mukherjee and L.B. Holder, “Graph-based data mining on social networks,” In: Workshop on Link Analysis and Group Detection (in conjunction with KDD), 2004.

[25] L. Lu and T. Zhou, “Link prediction in weighted networks: The role of weak ties,” Europhys Lett, Vol. 89(1), 2010, pp. 18001.

[26] A.M. Tang, C. Quek and G.S. Ng, “GA-TSK fnn: Parameters tuning of Fuzzy Neural Network using Genetic Algorithms,” Expert System with Applications, Vol. 29(4), 2005, pp. 769–781.

[27] L.A. Zadeh, “Fuzzy Logic=Computing with Words,” IEEE Transactions on Fuzzy Systems, Vol. 4(2), 2005, pp. 103.

[28] Z. Huang, X. Li and H. Chen, “Link prediction approach to collaborative filtering. In: Proc 5th ACM/IEEE-CS Joint Conf on Digital Libraries,” New York: ACM, 2005, pp. 141-142.

[29] G. Palla, I. Derenyi, s.I. Farka and T. Vicsek, “Uncovering the overlapping community structure of complex networks in nature and society,” Nature, Vol. 435(7043), 2005, pp. 814-818.

[30] S. Zhang, R.S. Wang andX.S. Zhang, “Identification of overlapping community structure in complex networks using fuzzy c-means clustering,” Physica A, Vol. 374(1), 2007, pp. 483–490.

[31] N. Mishra, R. Schreiber, I. Stanton and R.E. Tarjan, “Finding strongly knit clusters in social networks,” Internet Math, Vol. 5(1–2), 2008, pp. 155–174.

[32] M. Brunelli and M. Fedrizzi, “A fuzzy approach to social network analysis,” 2009.

[33] R.R. Yager, “Intelligent social network analysis using granular computing,” International Journal of Intelligent Systems, Vol. 23(11), 2008, pp. 1197-1219.

[34] D. Watts and S. Strogatz, “Collective dynamics of small-world networks,” Nature, Vol. 393(6684), 1998, pp. 440–442.

[35] S. Milgram, “The small world problem,” Psychol Today, Vol. 2(1), 1967, pp. 60-67.

[36] J.M. Mendel, “Advances in Type-2 fuzzy sets and systems,” Information Sciences, Vol. 177, 2007, pp. 84-110.

[37] M.E.J. Newman, “Finding community structure in networks using the Eigenvectors of matrices,” Physical Review E, Vol. 74(3), 2007, pp. 036104.