Social group finding method based on cluster fusion algorithm

Abstract

The invention discloses a social group finding method based on a cluster fusion algorithm, and the method comprises the steps: firstly generating a reference class through social network data, enabling social users in the same reference class to have similar group property; employing an adopting device for basic clusters to generate various types of basic cluster sets; employing the cluster fusion algorithm for each basic cluster set, carrying out the fusion of cluster fusion results through employing the cluster fusion algorithm, and generating a candidate reference; employing a screening device for the candidate reference, and obtaining a reference according to a set screening condition; employing the reference to evaluate the cluster quality; and evaluating the cluster quality through employing an external method after the reference is obtained. The method achieves the fusion of the decisions of basic clusters, and obtains a more accurate and robust decision. The method improves the group and individual finding accuracy in social network data, enables a service provider to obtain enough user information, improves the service quality, and is great in use value.

Description

technical field

[0001] The invention belongs to the technical field of social network group mining, and relates to a judgment method using a clustering fusion algorithm, in particular to a method for discovering a social group based on a clustering fusion algorithm. Background technique

[0002] "Internet +" is a further practical result of Internet thinking. It represents an advanced productive force that promotes the continuous evolution of economic forms, thus driving the vitality of social and economic entities and providing a broad network platform for reform, development and innovation.

[0003] Now, the traditional Internet is entering a new era - the era of Social Networking Service (SocialNetworkingService), from the era of "human and machine" to the era of "human and human". Individual social circles will continue to expand and overlap and eventually form a large social network. A notable feature of social networking is that it supports a huge number of users. For...

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