Method and system for establishing social network and method and system for mining network community

Abstract

The embodiment of the invention discloses a method and a system for establishing a social network and a method and a system for mining a network community. The method for mining the network community comprises the following steps of: calculating the node intensity of each node in the social network, wherein the node intensity of a certain node is the weight sum of all sides connected with the node; expanding the current community according to the modularity of the current community by using an initial node selected according to node intensity as the basis until the modularity of the current community is maximized, namely the community with the maximized modularity is the community to be mined. The method can effectively discover a user cluster or a user community with certain characteristics, and can provide more valuable services, such as information spreading, service recommendation and friend recommendation and the like based on the user cluster or community with different characteristics.

Description

technical field [0001] The present invention relates to the fields of communication and the Internet, in particular to a method and system for establishing a social network and a method and system for mining a network community. Background technique [0002] Internet forums use the Internet as a communication carrier and operating platform. Internet users in the forum can freely participate in it, and independently release information, comment, and exchange views and opinions to the public around a certain type or a specific issue. Internet forums provide a convenient place for netizens to express their personal opinions. Through forums, netizens can find like-minded netizens for various exchanges, such as sharing original articles, asking for help, or helping others solve difficult problems and so on. [0003] With the development of network technology, forums can provide users with more and more services, such as music forums recommending songs to users, news forums recomm...

AI Technical Summary

Problems solved by technology

[0004] The inventor found through research that the existing recommendations are basically based on the user's search history and user registration attributes. Although there are certain effects, they still cannot accurately and comprehensively reflect the user's hobbies

What's more, the user's interests and hobbies are constantly changing over time, and the search history cannot truly reflect the user's current points of interest; while the user's registration attributes and information are limited and cannot be updated in real time

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