Name
Abstract | ||
|---|---|---|
We develop a dynamic game-theoretic model of informatio (contagion) propagation using Facebook-type of communication. The model accounts for information posted on a member's wall or timeline by her friends, which can be read by all friends. This communication facilitates coordination by creating common knowledge among users. We illustrate subtle features of the model, which generalize a host of influence-based contagion mechanisms, and prove characteristics of its dynamics. We show that a complete bipartite graph within a certain group of agents is a necessary and sufficient condition for common knowledge of relevant information to arise among that group's members. Finally, we illustrate the behavior of our model through simulation, and compare it to the classic diffusion model and Chwe's model of common knowledge, using a real Facebook network, a high school social network and a friendship network. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.5555/2615731.2615774 | AAMAS |
Keywords | Field | DocType |
collective action,certain group,communication facilitates coordination,social network,model account,classic diffusion model,friendship network,common knowledge,influence-based contagion mechanism,facebook model,dynamic game-theoretic model,real facebook network | Complete bipartite graph,Collective action,Social network,Friendship,Computer science,Timeline,Theoretical computer science,Common knowledge,Artificial intelligence,Machine learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gizem Korkmaz | 1 | 98 | 11.10 |
| Chris J. Kuhlman | 2 | 216 | 25.03 |
| Achla Marathe | 3 | 203 | 23.77 |
| Madhav Marathe | 4 | 2775 | 262.17 |
| Madhav Marathe | 5 | 2775 | 262.17 |
| Fernando Vega-Redondo | 6 | 128 | 24.01 |
| CJ Kuhlman | 7 | 0 | 0.34 |