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Community mining method and device and server

A community mining and community technology, applied in the field of big data, can solve the problems of long time, many resources, low efficiency, etc., to achieve the effect of improving accuracy, saving resources and time overhead

Pending Publication Date: 2020-07-31
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In a traditional technical solution, when there is new relational data in the network, it is necessary to analyze the full amount of data, which is inefficient, takes up more resources, and has a longer time limit, so it is not suitable for high real-time requirements. scenarios, such as police platforms, traffic platforms, etc.

Method used

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  • Community mining method and device and server
  • Community mining method and device and server
  • Community mining method and device and server

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Embodiment Construction

[0047] The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

[0048] For ease of description, some concepts involved in the embodiments of the present application will be described below first.

[0049] Community mining (community mining) is used to explore the density of members in the relationship network. It is mainly used in scenarios such as social circle mining and member portraits. The connection between nodes in the same community is very tight, while the connection between communities is relatively sparse. If the intersection of the vertex sets of any two communities is empty, it can be called a non-overlapping community, otherwise it is called an overlapping community.

[0050] A relation network refers to a graph structure composed of some nodes and edges between nodes. It should be understood that nodes in the network represent individuals in the system, and edges between nodes ...

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Abstract

The invention provides a community mining method. The community mining method comprises the steps of obtaining node information of a newly added edge or a deleted edge in a relational network; performing local community division on the newly added edge or the deleted edge according to the node information of the newly added edge or the deleted edge to obtain a first community result in the relational network; and updating an original community result in the relational network according to the first community result to obtain a total community result. According to the method, community analysisis carried out on the relational network of the big data, more accurate results can be obtained while resources and time expenditure are saved, and the pushing accuracy is improved.

Description

technical field [0001] The present application relates to the field of big data, and more specifically, relates to a method, device and server for community mining. Background technique [0002] Community mining technology plays an increasingly important role in offline promotion, advertising and other fields. Good community mining results can effectively improve the success rate of offline promotion and advertising. [0003] In the increasingly expanding digital age, the analysis of large-scale data requires near-real-time performance requirements. At the same time, the ever-increasing digital scale also poses higher challenges to resources. In a traditional technical solution, when there is new relational data in the network, it is necessary to analyze the full amount of data, which is inefficient, takes up more resources, and has a longer time limit, so it is not suitable for high real-time requirements. scenarios, such as police platforms, traffic platforms, etc. Con...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06Q50/00
CPCG06F16/9536G06Q50/01
Inventor 周亭亭应翔王工艺余思
Owner HUAWEI TECH CO LTD
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