Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Tracking Information Epidemics in Blogspace
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Agent Mining: The Synergy of Agents and Data Mining
IEEE Intelligent Systems
Inferring networks of diffusion and influence
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
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Recent research on opinion formation in the social web --- particularly blogs, comments, and reviews --- investigates opinion dynamics but reaches opposite conclusions whether consensus formation occurs or not. To address this issue, a model of consensus formation is described that takes into account not only factors leading to convergence of opinions, but also those that strengthen their divergence. Nonlinear interplay between these tendencies might lead to interesting results, and decoupling the technical basis of the interactions (e.g. network dynamics) from the human perspective of opinions and sympathies (e.g. social dynamics) is at the core of such an approach. The model presented here combines the features of epidemic diffusion and cascading models of opinions with simulations including presence of large part of society which remains neutral with respect to the issue at question. The presence of such neutral community changes significantly the topology of resulting social network and dynamics of majority opinion acceptance.