Difference between revisions of "Decision making in social networks"
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===Hi delta of percived Value make meme propogate faster=== | ===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 | + | 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>. |
===Common opinion hub make meme propogate faster=== | ===Common opinion hub make meme propogate faster=== | ||
Revision as of 05:29, 24 March 2015
Contents
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[1].
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[2].
Size of networks
Max size of personal network
In twitter it seems that Dunbar's number is valid[3]
References
<references>- ↑ 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.
- ↑ 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.
- ↑ Gonçalves, B., Perra, N., & Vespignani, A. (2011). Modeling users’ activity on twitter networks: Validation of dunbar's number. PloS One, 6(8), e22656.