A node vitality quantifying method in a mobile social network

A social network and quantitative technology, applied in the direction of electrical components, transmission systems, etc., can solve problems such as consistency is difficult to meet application service requirements

Inactive Publication Date: 2015-03-04
XI AN JIAOTONG UNIV
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Problems solved by technology

However, these node activity quantification methods are only for the analysis of the topological structure of the mobile social network community, and the strong social characteristics of the nodes in the mobile social network are not included as quantitative indicators, resulting in the quantitative results of mobile node activity and The consistency of the actual situation in the network is difficult to meet the requirements of application services, which has become a bottleneck for the improvement of service quality related to mobile social networks

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  • A node vitality quantifying method in a mobile social network
  • A node vitality quantifying method in a mobile social network
  • A node vitality quantifying method in a mobile social network

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Embodiment Construction

[0030] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0031] see figure 1As shown, the method for quantifying node activity in a mobile social network proposed by the present invention firstly distributes weights reasonably based on the topology analysis of the mobile social network and the extraction of node social characteristics, and synthesizes the identification of the connection strength and Connection strength index and node cooperation index of node cooperation state. On this basis, referring to the channel model in the communication system, simulating the characteristics of the gradual attenuation of node interaction density with the increase of relay nodes in the social network, establishing the attenuation channel model of the network link, and then calculating the target node arrival network The mean value of the minimum "link information entropy" of all reachable nodes in the network is used as the...

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Abstract

The invention discloses a node vitality quantifying method in a mobile social network, the method comprising: (1)configuring a connection strength index between mobile nodes; (2) computing a betweenness centrality of nodes; (3)counting, within a fixed time period, average access time rate of nodes and betweenness centrality, weighted-synthesizing them into a cooperation index of nodes; (4)computing and taking the minimum value of entropy of link information as link information entropy between node pairs; (5)taking an average value of entropy of link information between a mobile node and all reachable nodes in the network as a quantization value of the vitality of the mobile node. According to the invention, by introduction of several social factors as a supplement, a reasonable quantization is performed on the vitality of nodes in a mobile social network based on analysis of a mobile social network topology structure, and thus a scientific, reasonable and real result of mobile node vitality quantifying is provided for related applications. The invention improves node selecting accuracy rate in a mobile social network, and ensures reliable and high effective operation of mobile network service.

Description

【Technical field】 [0001] The invention belongs to the technical field of mobile social network services, in particular to a method for quantifying node activity in mobile social networks, applicable to mobile perception, social computing, Ad hoc (mobile ad hoc networks) and PSNs (pocket networks), and relates to mobile nodes Large-scale open application of behavior. 【Background technique】 [0002] With the popularization of various handheld devices such as mobile phones and PDAs, it has a broad application prospect in the field of society and life to realize data exchange and provide network services by ad hoc networks of these handheld devices. At present, research hotspots in the field of mobile ad hoc networks mainly include community structure detection, node activity quantification, content distribution mechanism, security and privacy, among which community structure detection and node activity quantification are related to network topology and node behavior analysis. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08
CPCH04L41/12H04L41/147
Inventor 桂小林杨建伟安健田丰杨攀钟华剑陈立
Owner XI AN JIAOTONG UNIV
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