Epidemic information spreading over mobile social networks with multiple social relationships

Nowadays, due to the increasing population of mobile users and popularity of social applications, the social relationships among mobile users become more various and affect the information spreading in mobile social networks (MSNs) more deeply than before. For example, there are multiple social relationships between mobile users, such as friends, relatives, classmates and so on. However, as most of existing models mainly consider the relationship among mobile users to be the same during the information spreading, these models can not mimic the information spreading in the MSNs well, where multiple relationships among mobile users needs to be studied thoroughly. Therefore, in this paper, to resolve the above issue, we firstly divide social relationships into four types: blood relationship, geographical relationship, work relationship, and interest relationship. Then we develop an analytical model to evaluate the influences of multiple relationships on the information spreading process in MSNs. With real traces, simulation results show the accuracy of the presented model. Numerical results demonstrate that different social relationships have different effects on the information spreading.