A modeling method of multi-information propagation model in social network

A technology of social network and modeling method, applied in the field of information dissemination model, can solve problems such as message influence, achieve the effect of improving accuracy, optimizing business behavior, and rationalizing model

Active Publication Date: 2019-01-15
FUDAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, in the dissemination of topics on real social networks, many users participate in it and discuss the topic from different angles and perspectives. Therefore, at the same time point, hundreds or thousands of new messages may be generated. mutual influence
However, this phenomenon of multi-message propagation under the same topic has been largely ignored in previous studies

Method used

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  • A modeling method of multi-information propagation model in social network
  • A modeling method of multi-information propagation model in social network
  • A modeling method of multi-information propagation model in social network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0053] Numerical simulation and empirical results

[0054] In the simulation stage, this embodiment constructs a message network containing 20 nodes, and the social network is a BA network containing N=1000 nodes. Each time a node joins the network, the newly increased number of connected edges is m=6, and the average degree =5.989.

[0055] (1) In the initial stage, a message network with 20 nodes and a social network with 1,000 nodes were constructed. 20 nodes were randomly selected from the social network, and each node propagated a different message. In the network, these 20 messages Simultaneous transmission.

[0056] (2) During the dissemination period, the user reads the 20 messages in the network with probability λ, and for the read messages, the user adopts the probability

[0057] to propagate.

[0058] (3) During the update period of the message network, the forwarding situation of all users at this time is counted. When the same user forwards differen...

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Abstract

The invention discloses a modeling method of a social network multi-information propagation model. The method extends into a plurality of messages on the basis of a single message propagation model, introduces different associations among the messages and memory attenuation of users, and obtains the final evolutionary stable state of information propagation. The invention combines the mutual influence among multiple messages, and is closer to the actual situation of the common transmission of multiple messages in the social network. The present invention is socially based on message network framework models and demonstrates the phenomenon of multi-information dissemination in social networks. The invention improves the accuracy of multi-information propagation prediction in the network, and provides effective model support for different aspects such as topic prediction, public opinion control, disease control, network marketing, propaganda strategy of products or advertisements put outby a plurality of enterprises, and the like.

Description

technical field [0001] The invention belongs to the technical field of information dissemination models, and in particular relates to a modeling method of a social network multi-information dissemination model. Background technique [0002] With the rapid development of Internet technology and the emergence of online social networks, the speed of information dissemination is faster, the scope of influence is wider, and the amount of information is also larger. Researchers have extensively used complex networks to describe the real-world communication dynamics, and information dissemination in the network is also a complex dynamic process, which is interactively affected by many factors, such as the topology of the network, the influence of information publishers, and the influence of users. interest preferences, the characteristics of the information itself, and so on. Understanding the dissemination process in complex networks is a core issue in the field of network scienc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/958G06F16/953G06Q50/00
CPCG06Q50/01
Inventor 杨蕊齐韩定定钱江海
Owner FUDAN UNIV
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