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According to the characteristics of information dissemination and user interaction on the internet, a discrete time model, which is based on the node influence, is proposed. In the model, every node has the opinion and the influence which is defined as the weight of network, these nodes will redistribute the weights and update their opinions during the each period. The simulation results show that...
In the age of Internet, people are using the social network services (SNS) to share information more frequently. Rumor spreading as a basic mechanism for information in online social network (OSN) has a significant impact on people's life. In this paper, A spreading model of rumor and derive differential equations that describe the dynamics of the model on online social network are introduced. Comparing...
We propose and study a message diffusion network model of IM system with local-world preferential connections and acquaintance introduction mechanisms, which exist in IM system. We put forward the algorithms to generate the message diffusion network model and through simulation results we talk about the topological properties of this network. The topological properties such as degree distribution,...
We present a hierarchical structure or multi-scales infectious diseases analysis based on meta-population model with heterogenous connectivity and mobility patterns, and study the effect of multi-scales hierarchical connectivity pattern of complex social network on the propagation dynamics of epidemics. The simulation results show that the scale of growth time of outbreaks is inversely proportional...
Random walk (RW) has been widely used as a strategy for searching in peer-to-peer networks. The boom of social network applications introduces new impact to the classical algorithms on the Internet. In this paper, we model the random walk algorithm in peer-to-peer networks when social information is available. We define the social relationship between two nodes as the knowledge about the resources...
Online social networking sites like YouTube are among the most popular sites on the Internet. Understanding these user sessions is important, both to improve current systems and to design new applications of online social networks. This paper reports on the results of a multiscale analysis of user session in traffic traces captured at the edge in campus network. The analyzed traffic is characterized...
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