References
1 Moreno JL. Who Shall Survive Beacon House New York 1953
2 Domingos P,Richardson M.
Mining the network value of customers. In: Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ACM New York, NY 2001 57-66
3 Richardson M,Domingos P.
Mining knowledge-sharing sites for viral marketing. In: Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ACM New York, NY 2002 61-70
4 Leskovec J,Adamic LA,Huberman BA. The dynamics of viral marketing ACM Trans Web 2007 1:228-237
5 Dasgupta K,Singh R,Viswanathan B,Chakraborty D,Mukherjea S,Nanavati AA,Joshi A. Social ties and their relevance to churn in mobile telecom networks Eleventh International Conference on Extending Database Technology: Advances in Database Technology ACM New York, NY 2008 668-677
6 Wei C-P,Chiu I-T. Turning telecommunications call details to churn prediction: a data mining approach Expert Syst Appl 2002 23:103-112
7 Xu J,Che H. Criminal network analysis and visualization Commun ACM 2005 48:101-107
8 Shetty J,Adibi J. The Enron Email Dataset Database Schema and Brief Statistical Report. Technical Report, University of Southern California,
2004. 2004
9 Newman MEJ. The structure and function of complex networks SIAM Rev 2003 45:167-228
10 Van De Bunt GG,Van Duijn MAJ,Snijders TAB. Friendship Networks Through Time: An Actor-Oriented Dynamic Statistical Network Model Comput Math Org Theory 1999 5:167-192
11 Ritter T. The networking company: antecedents for coping with relationships and networks effectively Ind Mark Manage 1999 28:467-479
12 Newman MEJ. The structure of scientific collaboration networks Proc Natl Acad Sci USA 2001 98:404-409
13 Truyen TT,Phung DQ,Venkatesh S. Preference networks: probabilistic models for recommendation systems Sixth Australasian Conference on Data Mining and Analytics Australian Computer Society, Inc Darlinghurst, Australia 2007 70:195-202
14 Broder A,Kumar R,Maghoul F,Raghavan P,Rajagopalan S,Stata R,Tomkins A,Wiener J. Graph structure in the Web Comput Netw 2000 33:309-320
15 Alon U. Biological networks: the tinkerer as an engineer Science 2003 301:1866-1867
16 Wasserman S,Faust K. Social Network Analysis: Methods and Applications Cambridge University Press Cambridge, UK 1994
17 Diestel R. Graph Theory Heidelberg: Spring-Verlag 2005
18 Granovetter M. The strength of weak ties Am J Sociol 1973 78:1360-1380
19 Granovetter M. Getting a Job: A Study of Contacts and Careers Harvard University Press Cambridge, MA 1974
20 Freeman LC. Centrality in social networks: conceptual clarification Soc Netw 1979 1:215-239
21 Brin S,Page L. Node centrality in weighted networks: generalizing degree and shortest paths Soc Netw 2010 32:245-251
22 Bonacich P. Power and centrality: a family of measures Am J Sociol 1987 92:1170-1182
23 Barabási AL,Bonabeau E. Scale-Free Networks Sci Am 2003 288:60-69
24 Barabási A-L,Albert R. Emergence of scaling in random networks Science 1999 286:509-512
25 Kossinets G,Watts DJ. Empirical analysis of an evolving social network Science 2006 311:88-90
26 Watts DJ,Strogatz SH. Collective dynamics of small-world networks Nature 1998 393:440-442
27 Leskovec J,Kleinberg J,Faloutsos C. Graphs over time: densification laws, shrinking diameters and possible explanations Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining ACM New York, NY 2005 177-187
28 Costa L,Oliveira O,Travieso G,Rodrigues F,Villas Boas P,Antiqueira L,Viana M,Rocha L. Analyzing and modeling real-world phenomena with complex networks: a survey of applications Adv Phys 2011 60:329-412
29 Kleinberg J. Authorative sources in a hyperlinked environment J ACM 1999 46:604-632
30 Brin S,Page L. The anatomy of a large-scale hypertextual Web search engine Comput Netw ISDN Syst 1998 30:107-117
31 Easley D,Kleinberg J. Networks, Crowds and Markets: Reasoning about a Highly Connected World Cambridge University Press Cambridge, UK 2010
32 Thelwall M. Interpreting social science link analysis research: a theoretical framework J Am Soc Inf Sci Technol 2006 57:60-68
33 Rapoport A. Spread of information through a population with socio-structural bias: I. Assumption of transitivity Bull Math Biophys 1953 15:523-533
34 Erdos P,Renyi A. On the evolution of random graphs Publ Math Inst Hungarian Acad Sci 1960 5:17-61
35 Fortunato S. Community detection in graphs Phys Rep 2010 486:75-174
36 Milgram S. The small world problem Psychol Today 1967 1:61-67
37 Price DDS. Networks of scientific papers Science 1965 149:510-515
38 Price DDS. A general theory of bibliometric and other cumulative advantage processes J Am Soc Inf Sci 1976 27:292-306
39 Newman MEJ. Mixing patterns in networks Phys Rev E 2003 67:026126
40 Gupta S,Anderson RM,May RM. Networks of sexual contacts: implications for the pattern of spread of HIV AIDS 1989 3:807-817
41 Newman MEJ,Girvan M. Finding and evaluating community structure in networks Phys Rev E 2004 69:026113
42 Girvan M,Newman MEJ. Community structure in social and biological networks Proc Natl Acad Sci USA 2002 99:7821-7826
43 Oliveira M,Gama J. MECmonitoring clusters` transitions Proceedings of the 5th Starting AI Researchers` Symposium IOS Press Lisbon, Portugal 2010
44 Palla G,Derényi I,Farkas I,Vicsek T. Uncovering the overlapping community structure of complex networks in nature and society Nature 2005 435:814-818
45 Pons P,Latapy M. Computing communities in large networks using random walks J Graph Algorithms Appl 2006 10:191-218
46 R Development Core Team. R: a language and environment for statistical computing R Foundation for Statistical Computing 2011
47 Newman MEJ. Modularity and community structure in networks Proc Natl Acad Sci USA 2006 103:8577-8582
48 Clauset A,Newman MEJ,Moore C. Finding community structure in very large networks Phys Rev E 2004 70:066111
49 Blondel VD,Guillaume J-L,Lambiotte R,Lefebvre E. Fast unfolding of communities in large networks J Stat Mech: Theory Exp 2008 2008:P10008
50 Guimera R,Amaral LAN. Functional cartography of complex metabolic networks Nature 2005 433:895-900
51 Borgatti SP,Everett MG,Freeman LC. Ucinet for Windows: software for social network analysis Harv Anal Technol 2002 2006
52 Hagberg AA,Schult DA,Swart PJ. Exploring network structure, dynamics, and function using NetworkX Seventh Python in Science Conference 2008 11-15
53 Bastian M,Heymann S,Jacomy M.
Gephi: an open source software for exploring and manipulating networks. In: Third International AAAI Conference on Weblogs and Social Media Association for the Advancement of Artiïcial intelligence Palo Alto, CA 2009 361-362
54 Smith M,Shneiderman B,Milic-Frayling N,Rodrigues EM,Barash V,Dunne C,Capone T,Perer A,Gleave E. Analyzing (social media) networks with NodeXL Fourth International Conference on Communities and Technologies 2009 255-264
55 Combe D,Largeron C,Egyed-Zsigmond E,Géry M. A comparative study of social network analysis tools Soc Netw 2010 2:1-12
56 Batagelj V,Mrvar A. Pajekprogram for large network analysis Connections 1998 21:47-57
0
Doreian P,Stockman FN, eds Evolution of Social Networks Routledge London 1997
0 Degenne A,Forsé M. Introducing Social Networks Sage Publications London/Thousand Oaks, CA/New Delhi 1999
0 Freeman LC. The Development of Social Network Analysis: A Study in the Sociology of Science Empirical Press Vancouver, Canada 2004
0 Carrington PJ,Scott J,Wasserman S, eds Models and Methods in Social Network Analysis Cambridge University Press New York 2005
0 Knoke D,Yang S. Social Network Analysis Sage Publications London/Thousand Oaks, CA/New Delhi 2008
