Dynamic Control of Fraud Information Spreading in Mobile Social Networks

Mobile social networks (MSNs) provide real-time information services to individuals in communities through mobile devices. However, due their high openness and autonomy, MSNs have been suffering from rampant rumors, fraudulent activities, other types of misuses. To mitigate such threats, it is urgent control the spread fraud information. The research challenge is: how design strategies efficiently utilize limited resources meanwhile minimize individuals' losses caused by information? this end, we model issue as an optimal problem, which consumption for implementing are jointly taken a constraint called total cost, minimum cost becomes objective function. Based on theory, devise dynamic allocation strategies. Besides, dynamics diffusion established considering uncertain mental state individuals, investigate trend stability model. Our simulation study shows that proposed can effectively inhibit while incurring smallest cost. Compared with strategies, effect about 10% higher.