Abstract
The research of information dissemination in online social networks has always been a hot topic in the field of network public opinion research. The traditional information dissemination model has a strong dependence on the complete network topology structure and the information of participants’ neighbors. In real-network hot events, it is difficult to obtain the real-network topology structure, and most participants who participate in network events do not have social relationships. We propose a multiple information coexistence attention model (MICAM), which does not depend on the network topology and the information of participants’ neighbors. According to the real news data, the corresponding mapping table of model parameters is established. The model is more in line with the actual situation of social networks due to parameter mapping tables. The MICAM model is adopted to study the changes of various types of information attention in the case of multi-information coexistence. The accuracy of the model is proved by comparing the simulation results with the actual data. In addition, the factors that affect the attention of participants are also studied.
Highlights
In the modern society, online social networks, news portals, mobile news client APP provide great convenience for the hot issues dissemination
PARAMETER OF MODEL In the attention function F(t), we focus on several factors for detailed analysis, and build a multi-information coexistence attention model (MICAM) according to the results of analysis
For the part of attention of updated information, we study how news updates affect the attention of netizens, and this is related to the attributes of the news updates and netizens.The formula reflects the changing process of netizens’ attention to multiinformation under the influence of various factors
Summary
Online social networks (such as Facebook, Sina Weibo, etc.), news portals (such as Netease, Sina, etc.), mobile news client APP (such as Headline today APP, Netease news APP, etc.) provide great convenience for the hot issues dissemination. In 1978, Mark Granovetter proposed a threshold model [8] by studying the phenomenon that individuals are influenced by other participants’ behavior In this model, the central node is continuously affected by those active from the neighbor nodes. Castellano combines infectious disease model, which is proposed at the beginning of the 20th century, with information dissemination to analyze the process of information dissemination, the scope of influence and the law of action, etc. In the previous studies the contribution from the combination of attributes of participants and news is not considered while human as a significant component of information dissemination can directly impact on the results.
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