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Heterogeneous social network location entity anchor link identification method

A technology of social network and identification method, which is applied in the direction of data exchange network, transmission system, instrument, etc., and can solve the problems that cannot be combined with reality

Active Publication Date: 2019-08-16
哈尔滨英赛克信息技术有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Early social networks were mainly analyzed based on the static structure and dynamic structure in the virtual network, which could not be combined with reality

Method used

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  • Heterogeneous social network location entity anchor link identification method
  • Heterogeneous social network location entity anchor link identification method
  • Heterogeneous social network location entity anchor link identification method

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Embodiment Construction

[0036] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings, but it is not limited thereto. Any modification or equivalent replacement of the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention should be covered by the present invention. within the scope of protection.

[0037] The present invention provides a heterogeneous social network location entity anchor link identification method, the method includes the following steps:

[0038] 1. Given a heterogeneous social network G, G=(V,E), where node V contains a variety of information nodes, V={V num |num∈Z +}, num represents the type of node, when num=2, the node represents the position l and l∈V 2 ; The link E between nodes contains multiple types, nmu 1 、nmu 2 Indicates the type of node.

[0039] 2. Given two heterogeneous social networks G 1 and G 2 , the s...

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Abstract

The invention discloses a heterogeneous social network location entity anchor link identification method. The method comprises the following steps: step 1, carrying out similarity judgment on locationnames of locations in G1 and G2; step 2, carrying out similarity judgment on latitude and longitude of positions in G1 and G2; step 3, carrying out similarity judgment on position-related user comments of the positions G1 and G2; step 4, performing similarity judgment on position-related user access time in the G1 and the G2; 5, realizing the identification of the association relationship of theaccess positions of the anchor link users in the two heterogeneous social networks G1 and G2; step 6, constructing a plurality of groups of two-dimensional matrixes to identify and generate a result,and calculating the position similarity based on the position attribute and the anchor link user position association relationship; and step 7, realizing optimal matching of the position anchor link through a KM algorithm. Experimental results show that compared with an existing method, the position entity anchor link recognition method provided by the invention has the advantage that the recognition accuracy is improved to a certain extent.

Description

technical field [0001] The invention belongs to the technical field of social network analysis, and relates to a method for identifying anchor links of location entities in a heterogeneous social network, in particular to a method for identifying anchor links based on the location of anchor link users in a heterogeneous social network. Background technique [0002] As computers and the Internet penetrate into people's lives, more and more people use the Internet to socialize, and a single network structure can no longer meet people's needs, so heterogeneous networks have emerged as the times require. Heterogeneous social networks usually include multiple abstract entities, and these entities and their relationships form a huge social network, such as Facebook, Twitter abroad, Sina Weibo, Douban, etc. in China. These online social networks are already in our Occupy an important place in life and change the way we live. Specific as figure 1 shown. The rise of location-based...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9537G06Q50/00H04L12/58
CPCG06F16/9537G06Q50/01H04L51/222H04L51/52Y02D30/70
Inventor 杨武
Owner 哈尔滨英赛克信息技术有限公司