View source for Decision making in social networks

==The speed of meme propogation==
===Hi delta of percived Value make meme propogate faster===

In a theoretical model on decisions in social networks (also called innovation adaptation), it was found that as the gap between the individual ́s perception of the options is high, the adoption speed increases if the dispersion of early adopters grows<ref> [http://arxiv.org/ftp/arxiv/papers/1011/1011.3834.pdf Laciana, C. E., & Rovere, S. L. (2011). Ising-like agent-based technology diffusion model: Adoption patterns vs. seeding strategies. Physica A: Statistical Mechanics and Its Applications, 390(6), 1139–1149.]</ref>.

===Long Tail law of speed of propogation===
Meme propagate through 50% of a network in in short time, and reach 80% in longer time (in students connected through a mutual social network it takes 10 minutes to reach 50% and about 100 minutes to reach 80%). In Sina, a chinese microblogging network it was also found that memes propagate in bursts of power-law distribution, from very small hubs of opinion leaders<ref>Yuanyuan, B., & Zhanhong, X. (2011). Human activity pattern on microblogging interaction. In Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on (Vol. 3, pp. 303–306).</ref>

===Common opinion hub make meme propogate faster===
It was also found that when there are hubs of [[common opinion]] the spread of adopting new ideas become faster<ref>[http://arxiv.org/ftp/arxiv/papers/1011/1011.3834.pdf Laciana, C. E., & Rovere, S. L. (2011). Ising-like agent-based technology diffusion model: Adoption patterns vs. seeding strategies. Physica A: Statistical Mechanics and Its Applications, 390(6), 1139–1149.]</ref>. According to Prato law, 20% of the people creates 80% of the massaging<ref>[http://research.microsoft.com/en-us/projects/ldg/a05-zhu.pdf Zhu, K., Hui, P., Chen, Y., Fu, X., & Li, W. (2011). Exploring user social behaviors in mobile social applications. In Proceedings of the 4th Workshop on Social Network Systems (p. 3).]</ref>.

==Network topology==
===number of hops between members===
Networks tend to connect all members in maximum of six hops<ref>[http://research.microsoft.com/en-us/projects/ldg/a05-zhu.pdf Zhu, K., Hui, P., Chen, Y., Fu, X., & Li, W. (2011). Exploring user social behaviors in mobile social applications. In Proceedings of the 4th Workshop on Social Network Systems (p. 3).]</ref>.

===Max size of personal network===
In twitter it seems that Dunbar's number is valid<ref>Gonçalves, B., Perra, N., & Vespignani, A. (2011). Modeling users’ activity on twitter networks: Validation of dunbar's number. PloS One, 6(8), e22656.</ref>

==Diffusion hops===

==References==
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[[category: decision making]]
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[[category: deliberation]]
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