Patterns and dynamics of users' behavior and interaction: Network analysis of an online community

Journal of the American Society for Information Science and Technology

Volumn 60, Issue 5, 2009, Pages 911-932

  Panzarasa, Pietro ^a   Opsahl, Tore ^a   Carley, Kathleen M ^b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNITIES OF PRACTICE; DYNAMICS OF SYSTEM; GENDER DIFFERENCES; INFORMATION FLOWS; NETWORK ANALYSIS; NETWORK DATA; ONLINE COMMUNITIES; REACHABILITY; SMALL WORLDS; SOCIAL INTERACTIONS; SOCIAL NETWORK; SYSTEM USE;

DYNAMICS; ELECTRIC NETWORK ANALYSIS; QUALITY ASSURANCE; REDUNDANCY; UNDERPINNINGS;

ONLINE SYSTEMS;

EID: 65749090652     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21015     Document Type: Article

References (113)

1. Adamic, L., Lukose, R., Puniyani, A., & Huberman, B. (2001). Search in power-law networks. Physical Review E, 64, 046135
2. Ahn, Y., Han, S., Kwak, H., Moon, S., & Jeong, H. (2007). Analysis of topological characteristics of huge online snetworking services Proceedings of the 16th International World Wide Web Conference, 835-844
3. Aiello,W., Chung, F., & Lu, L. (2000). A random graph model for massive graphs. In Proceedings of the Thirty-Second AnnuACM Symposium on Theory of Computing, 171-180. New York, NY: Association of Computing Machinery
4. Albert, R., & Barabási, A. (2000). Topology of evolving networks: Local events and universality. Physical Review Letters, 85, 5234
5. Albert, R., & Barabási, A. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 73, 47-97
6. Albert, R., Jeong, H., & Barabási, A. (1999). Diameter of the world-wide web. Nature, 401, 130-131
7. Albert, R., Jeong, H., & Barabási, A. (2000). Error and attack tolerance of complex networks. Nature, 406, 378-382
8. Alvesson, M., & Sveningsson, S. (2003). Managers doing leadership: The extra-ordinarization of the mundane. Human Relations, 56(12), 1435-1459
9. Amaral, L., Scala,A., Barthélémy, M.,&Stanley, H. (2000). Classes of smallworld networks. Proceedings of the National Academy of Sciences, 97, 11149-11152
10. Amiel, T., & Sargent, S. (2004). Individual differences in Internet usage motives. Computers in Human Behavior, 20(6), 711-726
11. Banks, D.L., & Carley, K.M. (1996). Models for network evolution. Journal of Mathematical Sociology, 21(1-2), 173-196 (Pubitemid 126344203)
12. Barabasi, A., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286, 509-512.
13. Barabási, A., Jeonga, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T (2002). Evolution of the social network of scientific collaboration Physica A, 311, 590-614
14. Baym, N., Zhang, Y., & Lin, M. (2004). Social interactions across media New Media & Society, 6, 299-318
15. Berger, J., Fişek, M., Norman, R., & Zelditch Jr., M. (1977). Status characteristics in social interaction: An expectation states approach NewYork, NY: Elsevier
16. Bernard, H., Kilworth, P., Kronenfeld, D., & Sailer, L. (1984). The problem of informant accuracy: The validity of retrospective data. Annual Review of Anthropology, 13, 495-517
17. Bernard, H., Kilworth, P., Evans, M., McCarty, C., & Selley, G. (1988) Studying social relations cross-culturally. Ethnology, 27(2), 155-179
18. Boase, J. (2008). Personal networks and the personal communication system Using multiple media to connect. Information, Communication and Society, 11(4), 490-508
19. Boase, J., Horrigan, J., Wellman, B., & Rainie, L. (2006). The strength of Internet ties.Washington, DC: Pew Internet & American Life Project
20. Bollobas, B. (1985). Random graphs. New York, NY: American Press
21. Bolton, P.,&Dewatripont, M. (1994). The firm as a communication network Quarterly. Journal of Economics, 109, 809-839
22. Boneva, B., & Kraut, R. (2002). Email, gender, and personal relationships. In B. Wellman & C. Haythornthwaite (Eds.), The Internet in Everyday Life, 372-403. Malden, MA: Blackwell Publishing
23. Boyer O'Leary, M., & Cummings, J. (2007). The spatial, temporal, and configurational charactof geographic dispersion in teams. Management of Information Systems Quarterly, 31(3), 433-452
24. Burt, R. (1992). Structural holes: The social structure of competition Cambridge, MA: Harvard University Press
25. Burt, R.S. (2000). Decay functions. Social Networks, 22, 1-28
26. Burton-Jones, A., & Gallivan, M. (2007). Toward a deeper understanding of system usage in organizations: A multilevel perspective. Managof Information Systems Quarterly, 31(4), 657-679
27. Caldarelli, G. (2007). Scale-free networks. Complex Webs in nature and technology. NewYork, NY: Oxford University Press
28. Coleman, J. (1988). Social capital in the creation of human capital.American Journal of Sociology, 94, S95-S120
29. Compeau, D., Higgins, C., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinastudy Management of Information Systems Quarterly, 23(2), 145-158
30. Constant, D., Sproull, L., & Kiesler, S. (1996). The kindness of strangers: The usefulness of electronic weak ties for technical advice. Organization Science, 7(2), 119-135 (Pubitemid 126082419)
31. Crawford, M. (1995). Talking difference: On gender and language. London: Sage
32. Crawford, M., & Kaufman, M. (2006). Sex differences versus social processes in tconstruction of gender. In K. Dindia & D. Canary (Eds.), Sex Differences and Similarities in Communication, 179-194. NewYork, NY: Routledge, second edition
33. Communications of the ACM, 45(7), 103-108 (Pubitemid 135699743)
34. Davis, G., Yoo, M., & Baker, W. (2003). The small world of the American corporate elite, 1982-2001. Strategic Organization, 1(3), 301-326
35. Davis, J. (1970). Clustering and hierarchy in interpersonal relations American Sociological Review, 35, 843-851
36. Diesner, J., Frantz, T., & Carley, K. (2006). Communication networks from the Enron email corpus. Journal of Computational and Mathematical Organization Theory, 11, 201-228
37. Dorogovtsev, S., & Mendes, J. (2003). Evolution of networks. From biological nets to the Internet and WWW. New York, NY: Oxford University Press (Pubitemid 34759032)
38. Ebel, H., Mielsch, L.-I., & Bornholdt, S. (2002). Scale-free topology of e-mail networks. Physical Review E, 66, 035103 (Pubitemid 35457622)
39. Erdös, P., & Rényi, A. (1960). On the evolution of random graphs. Publications of the Mathematical Institute of the HungarianAcademy of Sciences, 5, 17-61
40. Fallows, D. (2005). How women and men use the Internet.Washington, DC: Pew Internet & American Life Project
41. Faloutsos, M., Faloutsos, P., & Faloutsos, C. (1999). On power-law relationships of the internet topology. Computer Communication Review, 29, 251-262
42. Fararo, T., & Sunshine, M. (1964). A study of a biased friendship network Syracuse, NY: Syracuse University Press
43. Feld, S. (1981). The focused organization of social ties. American Journal of Sociology, 86, 1015-1035
44. Foster, C., Rapoport, A., & Orwant, C. (1963).A study of a large sociogram: Elimination of free parameters. Behavioural Science, 8, 56-65
45. Gould, R. (2002). The origins of status hierarchies: A formal theory and empirical test. American Journal of Sociology, 107(5), 1143-1178 (Pubitemid 37072504)
46. Gouldner, A. (1960). The norm of reciprocity: A preliminary statement American Sociological Review, 25(2), 161-178
47. Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78, 1360-1380
48. Guetzkow, H., & Simon, H. (1954). The impact of certain communication nets upon organization and performance in task-oriented groups. Management Science, 1, 233-250
49. Guimerà, R., Danon, L., Díaz-Guilera,A., Giralt, F.,& Arenas,A. (2006).The real communication network behind the formal chart: Community structure in orga. Journal of Economic Behavior and Organization, 61, 653-667
50. Guimerà, R., Uzzi, B., Spiro, J.,&Amaral, L. (2005). Team assembly mechanisms determine collaboration network structure and team performance. Science, 308, 697-702 (Pubitemid 40594391)
51. Holland, P., & Leinhardt, S. (1970). A method for detecting structure in sociometric data. American Journal of Sociology, 76, 492-513
52. Holme, P., Edling, C., & Liljeros, F. (2004). Structure and time-evolution of an internet dating community. Social Networks, 26, 155-174 (Pubitemid 38472342)
53. Howard, P., Rainie, L., & Jones, S. (2002). Days and nights on the Internet In B. Wellman & C. Haythornthwaite (Eds.), The Internet in Everyday Life, 45-73. Malden, MA: Blackwell Publishing
54. Ingram, P., & Roberts, P. (2000). Friendships among competitors in the Sydney hotel industry. American Journal of Sociology, 106(2), 387-423 (Pubitemid 33218745)
55. Jeong, H., Néda, Z., & Barabási, A. (2003). Measuring preferential attachment for evolving networks. Europhysics Letters, 61, 567-572 (Pubitemid 36256501)
56. Jin, E., Girvan, M., & Newman, M. (2001). The structure of growing social networks. Physical Review E, 64, 046132
57. Kiesler, S., & Cummings, J. (2002). What do we know about proximity and distance in work groups? A legacy of research. In P. Hinds & S. Kiesler (Eds.), DistributedWork, 57-82. Cambridge, MA: MIT Press
58. Kleinberg, J., & Lawrence, S. (2001). The structure of the web. Science, 294, 1849-1850
59. Kochen, M. (1989). The small world. Norwood, NJ: Ablex
60. Kossinets, G., & Watts, D. (2006). Empirical analysis of an evolving social network. Science, 311, 88-90 (Pubitemid 43063064)
61. Krapivsky, P., Redner, S., & Leyvraz, F. (2000). Connectivity of growing random networks. Physical Review Letters, 85, 4629
62. Kraut, R., Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., & Crawford, A. (2002). Internet paradox revisited. Journal of Social Issues, 58(1), 49-74 (Pubitemid 34268218)
63. Lazer, D., & Friedman, A. (2007). The network structure of exploration and exploitation. Administrative Science Quarterly, 52, 667-694
64. Lee, Y., Kozar, K., & Larsen, K. (2003). The technology acceptance model: Past, present, and future. Communication of the Association for Information Systems, 12(50), 752-780.
65. Leskovec, J., Kleinberg, J.,&Faloutsos, C. (2005). Graphs over time: Densiflaws, shrinking diameters and possible explanations. Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Pubitemid 43218279)
66. Levine, J., & Moreland, R. (1990). Progress in small group research. Annual Review of Psychology, 41, 585-634
67. Levine, S., & Kurzban, R. (2006). Explaining clustering in social networks: Towards an evolutionary theory of cascading benefits. Managerial and Decision Economics, 27, 173-187 (Pubitemid 47130844)
68. Louch, H. (2000). Personal network integration: Transitivity and homophily in strong-tie relations. Social Networks, 22, 45-64
69. Marsden, P. (1990). Network data and measurement. Annual Review of Sociology, 16, 435-463
70. McElroy, J., Hendrickson, A., Townsend, A., & DeMarie, S. (2007). Dispositional factors in Internet use: Personality versus cognitive style. Management of Information Systems Quarterly, 31(4), 809-820
71. McPherson, J., Smith-Lovin, L., & Cook, J.M. (2001). Birds of a feather: Homophily in social networks.Annual Review of Sociology, 27, 415-444 (Pubitemid 33342718)
72. Merton, R. (1968). The Matthew effect in science. Science, 159, 56-63
73. Milgram, S. (1967). The small world problem. Psychology Today, 2, 60-67
74. Mok, D., Wellman, B., & Basu, R. (2007). Did distance matter before the Internet? Interpersonal contact and support in the 1070s. Social Networks, 29, 430-461
75. Monge, P., Rothman, L., Eisenberg, E., Miller, K., & Kirste, K. (1985) The dynamics of organizational proximity. Management Science, 31, 1129-1141
76. Moore, G. (1990). Structural determinants of men's and women's social networks. American Sociological Review, 55, 726-735
77. Newman, M. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98, 404-409 (Pubitemid 32105053)
78. Newman, M. (2003). The structure and function of complex networks. SIAM Review, 45, 167-256
79. Newman, M., & Park, J. (2003). Why social networks are different from other types of networks. Physical Review E, 68, 036122
80. Newman, M., Strogatz, S.H., & Watts, D.J. (2001). Random graphs with arbitrary degree distributions and their applications. Physical Review E, 64, 026118
81. Onnela, J.-P., Saramki, J., Hyvnen, J., , G., Lazer, D., Kaski, K., et al., (2007). Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences, 104, 7332-7336 (Pubitemid 47185905)
82. Opsahl, T., Colizza, V., Panzarasa, P., & Ramasco, J.J. (2008). Prominence and control: The weighted rich-club effect. Physical Review Letters, 101, 168702
83. Pastor-Satorras, R., &Vespignani, A. (2004). Evolution and structure of the Internet. NewYork, NY: Cambridge University Press
84. Plickert, G., Côté, R.R., &Wellman, B. (2007). It's not who you know, it's how you now them: Who exchanges what with whom? Social Networks, 29, 405-429
85. Powell,W., White, D.,Koput, K.,&Owen-Smith, J. (2005). Network dynamics (Pubitemid 40912150)
86. Preece, J., (2000). Online communities: Designing usability and supporting sociability. Chichester, U.K.: JohnWiley & Sons
87. Rapaport, A. (1953). Spread of information through a population with sociostructural bias. I. Assumption of transitivity. Bulletin of Mathematical Biophysics, 15, 523-533
88. Reagans, R.,&McEvily, B. (2003). Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly, 48, 240-267.
89. Ren, Y., Kraut, R., & Kiesler, S. (2007). Applying common identity and bond theory to design of online communities. Organization Studies, 28(3), 377-408
90. Rogers, E. (2003). Diffusion of innovations. NewYork, NY: Free Press
91. Rothaermel, F., & Sugiyama, S. (2001). Virtual internet communities and commercial success: Individual and community-level theory grounded in the atypical case of timezone.com. Journal of Management, 27(3), 297-312 (Pubitemid 33622887)
92. Smith-Doerr, L., & Powell, W. (2005). Networks and economic life. In N. Smelser&R. Swedberg (Eds.), The Handbook of Economic Sociology, 379-402. Princeton, NJ: Princeton University Press
93. Snijders, T.A.B. (2005). Models for longitudinal network data. In P. Carrington, J. Scott, & S. Wasserman (Eds.), Models and Methods in Social Network Analysis, 215-247. New York: Cambridge University Press
94. Stern, M. (2008). How locality, frequency of communication and internet usage affect modes of communication within core social networks. Information, Communication and Society, 11(5), 591-616
95. Szajina, B. (1993). Determining information systems usage: Some issues and examples. Information & Management, 25, 147-154
96. Taylor, W. (2004). Computer-mediated knowledge sharing and individual user differences: An exploratory study. European Journal of Information Systems, 13(1), 52-64 (Pubitemid 38430340)
97. Tuckman, B.W. (1965). Developmental sequence in small groups. Psychological Bulletin, 63, 384-399
98. Tuckman, B.W., & Jensen, M.A. (1977). Stages of small-group development revisited. Group Organization Studies, 2, 419-427.
99. Tyre, M., & Orlikowski,W. (1994).Windows of opportunity: Temporal patterns of technological adaptation in organizations. Organization Science, 5(1), 98-118 (Pubitemid 24784048)
100. Uzzi, B. (1997). Social structure and competition in interfirm networks: The paradox of embeddedness. Administrative Science Quarterly, 42, 35-67 (Pubitemid 127172358)
101. Uzzi, B., & Spiro, J. (2005). Collaboration and creativity: The small world problem. American Journal of Sociology, 111, 447-504 (Pubitemid 41810709)
102. Valente,T. (1995). Network models of the diffusion of innovations. Cresskill, NJ: Hampton Press
103. Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unifview. Management of Information Systems Quarterly, 27(3), 425-478
104. Wang, B.,Tang, H., Guo, C.,& Xiu, Z. (2006). Entropy optimization of scalefree networks' robustness to random failure. Physica A, 363(2), 591-596 (Pubitemid 43375040)
105. Wasserman, S., & Faust, K. (1994). Social network analysis. Cambridge, MA: Cambridge University Press
106. Watts, D. (2004). The "new" science of networks. Annual Review of Sociology, 30, 243-270 (Pubitemid 39146293)
107. Watts, D., & Strogatz, S. (1998). Collective dynamics of "small-world" networks. Nature, 393, 440-442 (Pubitemid 28292183)
108. Wellman, B. (1999). Living networked on and offline. Contemporary Sociology, 28(6), 648-654
109. Wellman, B., & Giulia, M. (1999). Net surfers don't ride alone:Virtual communities as communities. In B. Wellman (Ed.), Networks in the Global Village, 331-367. Boulder, CO:Westview Press
110. Wellman, B., & Haythornthwaite, C. (2002). The Internet in everyday life Malden, MA: Blackwell Publishing
111. Wellman, B., Hogan, B., Berg, K., Boase, J., Carrasco, J.-A., Côté, R., et al., (2006). Connected lives: The project. In P. Purcell (Ed.), Networked Neighbourhoods, 157-211. Guildford, UK: Springer
112. Wellman, B., Salaff, J., Dimitrova, D., Garton, L., Gulia, M., & Haythornthwait, C. (1996). Computer networks as social networks: Collaborative work, telework and virtual community. Annual Review of Sociology, 22, 213-238 (Pubitemid 126416254)
113. Zmud, R. (1979). Individual differences and MIS success: A review of the empirical literature. Management Science, 25(10), 966-979 (Pubitemid 11478157)