參考文獻 |
六、參考文獻
Albert, R., Jeong, H.& Barabási, A.-L. (1999). Internet: Diameter of the world-wide web. Nature, 401(6749), 130-131.
Amaral, L. A. N., Scala, A., Barthelemy, M.& Stanley, H. E. (2000). Classes of small-world networks. Proceedings of the National Academy of Sciences, 97(21), 11149-11152.
Bagrow, J. P. (2008). Evaluating local community methods in networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(05).
Bagrow, J. P.& Bollt, E. M. (2005). Local method for detecting communities. Physical Review E, 72(4).
Breiger, R. L., Boorman, S. A.& Arabie, P. (1975). An algorithm for clustering relational data with applications to social network analysis and comparison with multidimensional scaling. Journal of mathematical psychology, 12(3), 328-383.
Broder, A., Kumar, R., Maghoul, F., Raghavan, P., Rajagopalan, S., Stata, R., . . . Wiener, J. (2000). Graph structure in the web. Computer networks, 33(1), 309-320.
Chira, C.& Gog, A. (2011). Collaborative Community Detection in Complex Networks. In E. Corchado, M. Kurzyński & M. Woźniak (Eds.), Hybrid Artificial Intelligent Systems (Vol. 6678, pp. 380-387): Springer Berlin Heidelberg.
Clauset, A. (2005). Finding local community structure in networks. Physical Review E, 72(2).
Faloutsos, M., Faloutsos, P.& Faloutsos, C. (1999). On power-law relationships of the Internet topology. SIGCOMM Comput. Commun. Rev., 29(4), 251-262.
Girvan, M.& Newman, M. E. (2002). Community structure in social and biological networks. In Proceedings of the National Academy of Sciences, 99(12), 7821-7826.
Jeong, H., Tombor, B., Albert, R., Oltvai, Z. N.& Barabási, A.-L. (2000). The large-scale organization of metabolic networks. Nature, 407(6804), 651-654.
Jiyang, C., Zaiane, O.& Goebel, R. (2009). Local Community Identification in Social Networks. Paper presented at the Social Network Analysis and Mining,. ASONAM ′09. International Conference on Advances in Athens Greece.
Kernighan, B. W.& Lin, S. (1970). An efficient heuristic procedure for partitioning graphs. Bell system technical journal, 49(2), 291-307.
Kleczkowski, A.& Grenfell, B. T. (1999). Mean-field-type equations for spread of epidemics: The ‘small world’model. Physica A: Statistical Mechanics and its Applications, 274(1), 355-360.
Li, W., Yang, J.-Y.& Hadden, W.-C. (2009). Analyzing complex networks from a data analysis viewpoint. Europhysics Letters, 88(6).
LI, W., YANG, X., ZHANG, C., TANG, K.& YANG, J. (2011). A clustering method for community detection on complex networks. CAAI Transactions on Intelligent Systems, Harbin, China.
Lim, K. H.& Datta, A. (2013). A seed-centric community detection algorithm based on an expanding ring search. Paper presented at the Proceedings of the First Australasian Web Conference-Volume 144.
Luo, F., Wang, J. Z.& Promislow, E. (2008). Exploring local community structures in large networks. Web Intelligence and Agent Systems, 6(4), 387-400.
Lusseau, D. (2003). The emergent properties of a dolphin social network. Proceedings of the Royal Society of London. Series B: Biological Sciences, 270(Suppl 2), 186-188.
Marchiori, M.& Latora, V. (2000). Harmony in the small-world. Physica A: Statistical Mechanics and its Applications, 285(3), 539-546.
Moore, C.& Newman, M. E. (2000). Epidemics and percolation in small-world networks. Physical Review E, 61(5).
Newman, M. E. (2001). The structure of scientific collaboration networks. In Proceedings of the National Academy of Sciences, 98(2), 404-409.
Newman, M. E.& Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69(2).
Pastor-Satorras, R.& Vespignani, A. (2001). Epidemic spreading in scale-free networks. Physical review letters, 86(14).
Pizzuti, C. (2008). GA-Net: A genetic algorithm for community detection in social networks, Parallel Problem Solving from Nature–PPSN X (edition 10th, pp. 1081-1090): Springer.
Qiong, C.& Ting-Ting, W. (2010). A method for local community detection by finding maximal-degree nodes. Paper presented at the Machine Learning and Cybernetics (ICMLC), International Conference in Qingdao China.
Radicchi, F., Castellano, C., Cecconi, F., Loreto, V.& Parisi, D. (2004). Defining and identifying communities in networks. In Proceedings of the National Academy of Sciences of the United States of America, 101(9), 2658-2663.
Redner, S. (1998). How popular is your paper? An empirical study of the citation distribution. The European Physical Journal B-Condensed Matter and Complex Systems, 4(2), 131-134.
Scott, J. (2000). Social Network Analysis, A Handbook, Sage Publication.
Tiantian, Z.& Bin, W. (2012). A Method for Local Community Detection by Finding Core Nodes. Publish on Advance in Social Networks Analysis and mining(ASONAM), 1171-1176.
Wagner, A.& Fell, D. A. (2001). The small world inside large metabolic networks. Proceedings of the Royal Society of London. Series B: Biological Sciences, 268(1478), 1803-1810.
Watts, D. J.& Strogatz, S. H. (1998). Collective dynamics of ‘small-world’networks. Nature, 393(6684), 440-442.
Weinstein, C., Campbell, W., Delaney, B.& O′Leary, G. (2009). Modeling and detection techniques for Counter-Terror Social Network Analysis and Intent Recognition. Paper presented at the Aerospace conference IEEE.
Zachary, W. (1977). An Information Flow Modelfor Conflict and Fission in Small Groups1. Journal of anthropological research, 33(4), 452-473.
Zhang, S., Wang, R.-S.& Zhang, X.-S. (2007). Identification of overlapping community structure in complex networks using fuzzy c-means clustering. Physica A: Statistical Mechanics and its Applications, 374(1), 483-490.
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