Abstract
We discuss how the neighbors affect the decision of consumer behavior over diffusion of innovation in this paper. We suggest an agent-based model of diffusion and showed that on an online social network which have both of “scalefree” and “small world” properties. There are different paths by which the informative effect and the normative effect convey information. The informative effect indicates the exploratory action of gaining information, whereas the normative effect indicates the imitation effect that works on how consumers feel and try to keep up other consumers, network externalities, and explanations from society. The traits and the paths of information propagation actually differ.
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References
Goldenberg, J., Han, S., Lehmann, D.R., Hang, J.W.: The role of hubs in the adoption processes. Journal of Marketing 73, 1–13 (2009)
Delre, S.A., Jager, W., Janssen, M.A.: Diffusion Dynamics in Small-World Networks with Heterogeneous Consumers. Computational and Mathematical Organization Theory 13, 185–202 (2007)
Granovetter, M.: Threshold Models of Collective Behavior. American Journal of Sociology 83(6), 1420–1443 (1978)
Watts, D., Dodds, P.: Influentials, Networks, and Public Opinion Formation. Journal of Consumer Research 34(4), 441–458 (2007)
Matsuo, Y., Yasuda, Y.: How relations are built within a SNS World - Social network analysis on Mixi-, vol. 22(5), pp. 531–541 (2007)
Mislove, A., Marcon, M., Gummadi, K.P., Druschel, P., Bhattacharjee, P.: Measurement and analysis of online social networks. In: Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement, IMC 2007, vol. 14, pp. 29–42 (2007)
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Kurahashi, S., Saito, M. (2011). Word-of-Mouth Effects on Social Networks. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23854-3_38
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DOI: https://doi.org/10.1007/978-3-642-23854-3_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23853-6
Online ISBN: 978-3-642-23854-3
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