Analysis of the Dynamic Influence of Social Network Nodes
| Autor: | Yu-Li Zhao, Hai Yu, Zhiliang Zhu, Hong-Jian Yin, Wei Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Scheme (programming language)
Dynamic network analysis Series (mathematics) Social network Article Subject business.industry Computer science Distributed computing Node (networking) Organizational network analysis 01 natural sciences Measure (mathematics) 010305 fluids & plasmas Computer Science Applications Network formation QA76.75-76.765 0103 physical sciences Computer software 010306 general physics business computer Software computer.programming_language |
| Zdroj: | Scientific Programming, Vol 2017 (2017) |
| ISSN: | 1058-9244 |
| Popis: | In recent years, with the development of the social network theories, how to find or mining the most significant node in social network for understanding or controlling the information dissemination has become a hot topic and a series of effective algorithms have been presented. In this paper, a new scheme to measure the dynamic influence of the nodes in a social network is proposed, in which the sum of trust values of the propagation nodes is used. Simulations have been carried out and the results show that our scheme is stable and accurate. |
| Databáze: | OpenAIRE |
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