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An information propagation prediction method suitable for file sharing oriented mobile social network

A mobile social network, information dissemination technology, applied in data processing applications, instruments, computing, etc., can solve the problem of seed node aggregation, seed nodes are not more evenly distributed, etc.

Active Publication Date: 2019-03-01
HENAN POLYTECHNIC UNIV
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Problems solved by technology

However, the seed nodes selected by a certain algorithm may have this possibility: the seed nodes have the phenomenon of aggregation, that is, the seed nodes are not evenly distributed in the network, and some of them have connected edges to make them gather together

Method used

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  • An information propagation prediction method suitable for file sharing oriented mobile social network
  • An information propagation prediction method suitable for file sharing oriented mobile social network
  • An information propagation prediction method suitable for file sharing oriented mobile social network

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Embodiment Construction

[0067] The spread size of a file determines whether a file becomes popular or not. The invention proposes a file propagation scale prediction method on the basis of a linear threshold model. The present invention has the following differences from other methods based on linear threshold models: 1. The seed factor is introduced, and whether a node can become a seed node is determined according to the size of the seed factor; 2. The node filtering mechanism is introduced so that it will not be activated during the propagation process. The nodes are removed from the subsequent prediction process to improve the prediction efficiency; 3. Further process the selected seed nodes, and only take one of the seed nodes that are connected to each other, avoiding the aggregation of seed nodes in the network Phenomenon.

[0068] (1) Information collection

[0069] Data is collected from social networks and distributed to several servers. Of these servers, only one is the master server, a...

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Abstract

The invention provides an information propagation prediction method suitable for a file sharing oriented mobile social network, and provides a method for effectively determining a seed node, so that the selection of the seed node is more reasonable and effective. At the same time, a method to simplify the network structure is given. On the basis of not affecting the overall dissemination, the nodes which have no influence on the information dissemination are removed to improve the efficiency of dissemination. The model builds a bridge between the node influence calculation and the classical node authoritative value calculation, and then studies the information dissemination maximization strategy in large-scale social networks, which provides an efficient solution for the information dissemination prediction and calculation in large-scale social networks.

Description

technical field [0001] The invention relates to an information dissemination prediction method of a mobile social network, which belongs to the field of Internet applications. Background technique [0002] The more influential people in the social network, the greater the contribution to the dissemination of information, so how to determine the most influential people is particularly important for the dissemination of information. Select a small group of the most influential people from the social network. Influential nodes propagate to have the greatest influence in the network. This problem is also known as the influence maximization problem (influence maximization), and it has obvious applications in many fields such as the development of recommender systems, viral marketing, and finding influential twitter users. The first systematic study of influence maximization as a discrete optimization problem is given by Kempe et al. They extracted two very classic basic models ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00
CPCG06Q50/01
Inventor 张霄宏钱凯史爱静
Owner HENAN POLYTECHNIC UNIV
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