Game Theory Based Network Rumor Spreading Model
With the popularity of the micro networks, network rumors bring huge harm to social stability and people's lives. Network rumors have become one of hotspots currently. Thus, from the standpoint of text recognition and blocking rumor spreading, this paper considers the relation between rumor makers and many disseminators as a game to set up ET Game Model and find a game equilibrium. The ET model takes the explosion set by makers and disseminator's trust degree to information source nodes into account, which affect the game. And it is concluded that the two sides can gain the best benefits under the condition of high explosion and trust degree. This paper finds that transmission rate is not better with a higher explosion degree sometimes. By simulating information transmission in social network, we find the best explosion value for rumor spreading and the impact of trust degree on rumor spreading. These conclusions will be used for network rumors identification.
2016 International Conference on Network and Information Systems for Computers (ICNISC)