|
1.Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions: Sage.
2.Bakshy, E., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011). Everyone's an influencer: quantifying influence on twitter. Paper presented at the Proceedings of the fourth ACM international conference on Web search and data mining.
3.Balthrop, J., Forrest, S., Newman, M. E., & Williamson, M. M. (2004). Technological networks and the spread of computer viruses. arXiv preprint cs/0407048.
4.Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173.
5.Boccaletti, S., Latora, V., Moreno, Y., Chavez, M., & Hwang, D.-U. (2006). Complex networks: Structure and dynamics. Physics reports, 424(4), 175-308.
6.Boyd, d. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer‐Mediated Communication, 13(1), 210-230.
7.Burt, R. S. (2005). Brokerage and closure: An introduction to social capital: Oxford University Press.
8.Carpenter, D. P., Esterling, K. M., & Lazer, D. M. (2004). Friends, brokers, and transitivity: Who informs whom in Washington politics? Journal of Politics, 66(1), 224-246.
9.Centola, D. (2010). The spread of behavior in an online social network experiment. science, 329(5996), 1194-1197.
10.Centola, D., & Macy, M. (2007). Complex contagions and the weakness of long ties1. American journal of sociology, 113(3), 702-734.
11.Coleman, J. S. (1989). Social capital in the creation of human capital: University of Chicago Press.
12.Donath, J., & Boyd, D. (2004). Public displays of connection. bt technology Journal, 22(4), 71-82.
13.Dover, Y., Goldenberg, J., & Shapira, D. (2012). Network traces on penetration: Uncovering degree distribution from adoption data. Marketing Science, 31(4), 689-712.
14.Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer‐Mediated Communication, 12(4), 1143-1168.
15.Eubank, S., Guclu, H., Kumar, V. A., Marathe, M. V., Srinivasan, A., Toroczkai, Z., & Wang, N. (2004). Modelling disease outbreaks in realistic urban social networks. Nature, 429(6988), 180-184.
16.Girvan, M., & Newman, M. E. (2002). Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 99(12), 7821-7826.
17.Godes, D., & Mayzlin, D. (2009). Firm-created word-of-mouth communication: Evidence from a field test. Marketing Science, 28(4), 721-739.
18.Granovetter, M. S. (1973). The strength of weak ties. American journal of sociology, 1360-1380.
19.Harrigan, N., Achananuparp, P., & Lim, E.-P. (2012). Influentials, novelty, and social contagion: The viral power of average friends, close communities, and old news. Social Networks, 34(4), 470-480.
20.Haythornthwaite, C. (2002). Strong, weak, and latent ties and the impact of new media. The Information Society, 18(5), 385-401.
21.Hofer, M., & Aubert, V. (2013). Perceived bridging and bonding social capital on Twitter: Differentiating between followers and followees. Computers in Human Behavior, 29(6), 2134-2142.
22.Iyengar, R., Van den Bulte, C., & Valente, T. W. (2011). Opinion leadership and social contagion in new product diffusion. Marketing Science, 30(2), 195-212.
23.Jaccard, J., & Turrisi, R. (2003). Interaction effects in multiple regression (Vol. 72): Sage.
24.Jaccard, J., Wan, C. K., & Turrisi, R. (1990). The detection and interpretation of interaction effects between continuous variables in multiple regression. Multivariate Behavioral Research, 25(4), 467-478.
25.Katona, Z., Zubcsek, P. P., & Sarvary, M. (2011). Network effects and personal influences: The diffusion of an online social network. Journal of Marketing Research, 48(3), 425-443.
26.Kim, J., & Lee, J.-E. R. (2011). The Facebook paths to happiness: Effects of the number of Facebook friends and self-presentation on subjective well-being. Cyberpsychology, Behavior, and Social Networking, 14(6), 359-364.
27.Krackhardt, D. (1998). Simmelian ties: Super strong and sticky. Power and influence in organizations, 21, 38.
28.Lerman, K., & Ghosh, R. (2010). Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks. ICWSM, 10, 90-97.
29.Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A., & Christakis, N. (2008). Tastes, ties, and time: A new social network dataset using Facebook. com. Social Networks, 30(4), 330-342.
30.Liang, T.-P., Ho, Y.-T., Li, Y.-W., & Turban, E. (2011). What drives social commerce: the role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), 69-90.
31.Lipsman, A., Mudd, G., Rich, M., & Bruich, S. (2012). The Power of" Like": How Brands Reach (and Influence) Fans through Social-Media Marketing. Journal of Advertising research, 52(1), 40.
32.Luarn, P., Yang, J.-C., & Chiu, Y.-P. (2014). The network effect on information dissemination on social network sites. Computers in Human Behavior, 37, 1-8.
33.Nosko, A., Wood, E., & Molema, S. (2010). All about me: Disclosure in online social networking profiles: The case of FACEBOOK. Computers in Human Behavior, 26(3), 406-418.
34.Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009). College students' social networking experiences on Facebook. Journal of Applied Developmental Psychology, 30(3), 227-238.
35.Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009). Personality and motivations associated with Facebook use. Computers in Human Behavior, 25(2), 578-586.
36.Scott, L. D. (2000). Caregiving and care receiving among a technologically dependent heart failure population. Advances in Nursing Science, 23(2), 82-97.
37.Sohn, D. (2009). Disentangling the Effects of Social Network Density on Electronic Word‐of‐Mouth (eWOM) Intention. Journal of Computer‐Mediated Communication, 14(2), 352-367.
38.Stephen, A. T., Dover, Y., & Goldenberg, J. (2010). A comparison of the effects of transmitter activity and connectivity on the diffusion of information over online social networks. SSRN eLibrary.
39.Stephen, A. T., Dover, Y., Muchnik, L., & Goldenberg, J. (2012). The effect of transmitter activity on information dissemination over online social networks.
40.Stewart, D. W., & Pavlou, P. A. (2002). From consumer response to active consumer: measuring the effectiveness of interactive media. Journal of the Academy of Marketing Science, 30(4), 376-396.
41.Sun, E., Rosenn, I., Marlow, C., & Lento, T. M. (2009). Gesundheit! Modeling Contagion through Facebook News Feed. Paper presented at the Proceedings of the Third International Conference on Weblogs and Social Media, AAAI Press, San Jose, CA.
42.Toubia, O., & Stephen, A. T. (2013). Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter? Marketing Science, 32(3), 368-392.
43.Van den Bulte, C., & Wuyts, S. (2007). Social networks and marketing: Marketing Science Inst.
44.Watts, D. J. (2002). A simple model of global cascades on random networks. Proceedings of the National Academy of Sciences, 99(9), 5766-5771.
45.Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’networks. Nature, 393(6684), 440-442.
46.Whitacre, J. M., Sarker, R. A., & Pham, Q. T. (2011). EFFECTS OF ADAPTIVE SOCIAL NETWORKS ON THE ROBUSTNESS OF EVOLUTIONARY ALGORITHMS. International Journal on Artificial Intelligence Tools, 20(05), 783-817.
47.Wilson, K., Fornasier, S., & White, K. M. (2010). Psychological predictors of young adults' use of social networking sites. Cyberpsychology, Behavior, and Social Networking, 13(2), 173-177.
48.Zhao, S., Grasmuck, S., & Martin, J. (2008). Identity construction on Facebook: Digital empowerment in anchored relationships. Computers in Human Behavior, 24(5), 1816-1836.
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