WeChat network evolutionary model construction method based on complex network

A network evolution and complex network technology, applied in the field of WeChat network evolution model construction, can solve the problems of empirical data limitation, network scale restriction, inconvenient transplantation research environment, etc., and achieve the effect of convenient construction algorithm

Inactive Publication Date: 2016-12-07
ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
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Problems solved by technology

The WeChat network can be constructed from empirical data, but the amount of empirical data will be limite...

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Embodiment Construction

[0021] Below in conjunction with embodiment the present invention is described in further detail:

[0022] A method for constructing a WeChat network evolution model based on a complex network of the present invention comprises the following steps:

[0023] 1) Set the initial number of nodes in the network to n as needed 0 , and each node is assigned an activity degree α i . The topology of the initial network can exist in many ways, as long as the n 0 Nodes are connected to each other, for example, randomly select a node, so that the node and the rest n 0 -1 nodes are connected to each other, the initial network formed in this way has a star topology;

[0024] 2) For the network model formed after initialization, the scale of the network will continue to increase over time. When a new node wants to join the current network, the new node is connected by two mechanisms: random growth and priority connection , and then generate the required WeChat network evolution model. ...

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Abstract

The invention discloses a WeChat network evolutionary model construction method based on a complex network. The method mainly comprises two stages, namely network initialization and network evolutionary generation. At the network initialization stage, the number of network initial nodes and the connection mode of the nodes are given; at the network evolutionary generation stage, a random connection mechanism and a preferential connection mechanism are adopted respectively. According to the method, a core evolutionary mechanism adopted in the WeChat network forming process is fused, and the generated evolutionary network can truthfully display topological characteristics of a real WeChat network and cannot be restricted by the network size. Thus, the evolutionary network can be used for analyzing various topological characteristics of the WeChat network and can also be used for studying the transmission dynamic mechanism of information in social networking. Based on this, a real network topological structure can be improved, a network protocol is optimized so that the transmission efficiency of the network topological structure can be improved, and meanwhile the method is beneficial for preventing and controlling propagation of Internet rumors so as to reduce damage caused thereby.

Description

【Technical field】 [0001] The invention relates to a method for constructing a WeChat network evolution model based on a complex network. 【Background technique】 [0002] In recent years, with the rapid development of social media, various social networks have evolved into typical complex networks. The so-called complex network, first of all, lies in the relatively large scale of the network and the relatively complex topology of the network, and secondly, the dynamic complexity of the network in both time and space. In addition, the various behaviors of the network are also complex. As a typical complex network, WeChat network is the most familiar and widely used complex network in social network. Therefore, the WeChat network occupies an important position in the transmission of information between people. [0003] According to relevant statistics, the number of WeChat users in my country has exceeded 600 million, and it is still increasing. WeChat has brought a lot of co...

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Application Information

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IPC IPC(8): G06Q50/00G06F17/30
CPCG06Q50/01G06F16/958
Inventor 王亚奇王静张明书
Owner ENG UNIV OF THE CHINESE PEOPLES ARMED POLICE FORCE
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