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Abstract

Analysis on the typical phenomena in the network public opinion rumor dissemination based on social network fluctuation principle

Author(s): Yueyi Wang, Congwei Xu

The continuous improvement of social network technology brings unprecedented impetuses and opportunities to the social development and provides mass communication provides a powerful media platform. Network construction by using data mining verifies the powerful dissemination and promotion effects of social network to some extent. However, on the other hand, with highly developed technology, the strong consensus dissemination capability of Internet cannot be neglected in modern times. On the basis of it, the social network fluctuation principle and the network public opinion rumor dissemination have become much-concerned issues theoretically and practically. From perspective of the dissemination of social network, this paper recognizes the reason why network could be the main method to disseminate public opinion rumor is that the network disseminators make integral connection of social network and the network. In a certain sense, network public opinion rumor dissemination conforms to the potential rules of interpersonal relationships in the social network and a comprehensive research on interaction of social network fluctuation principle and network public opinion rumor dissemination is conducted. In addition, under the Internet environment, this paper makes further discussions on network public opinion rumor dissemination of social network fluctuation principle, especially the in-depth analysis research on the enormous influence brought by socialization of the typical phenomena in the network public opinion rumor dissemination based on social network fluctuation principle. The combination of social network fluctuation principle and network public opinion rumor dissemination has great inspiration and reference effect of constructing good public acquisition, transfer, sharing, application and innovation network environment and improving the service quality of network public opinion.


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Citations : 875

BioTechnology: An Indian Journal received 875 citations as per Google Scholar report

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