A social network graph compression method and system based on node classification and sorting

A social network and node classification technology, applied in the field of social network graph compression methods and systems, can solve the problems of sacrificing compression rate, inability to guarantee the performance of graph computing tasks, and inability to take care of both, so as to eliminate redundancy, shorten domain division time, The effect of reducing storage space requirements

Active Publication Date: 2021-08-31
HUAZHONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

There are a variety of compression algorithms used in the node sorting stage of social network graphs, and some use complex coding techniques to improve the compression rate but cannot guarantee the performance of graph computing tasks, and some use simple coding techniques to ensure the operation of graph computing tasks Performance but at the expense of compression ratio, unable to balance both

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  • A social network graph compression method and system based on node classification and sorting
  • A social network graph compression method and system based on node classification and sorting
  • A social network graph compression method and system based on node classification and sorting

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Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0047] Social networks have scale-free, community-structured, and link-reciprocal properties. According to the nature of the social network graph, a small number of high-degree hub nodes have a majority of edges, and these edges are located in the off-diagonal area of ​​the graph adjacency matrix, which affects the locality of the off-diagonal area; low-degree community nodes aggregate into mult...

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Abstract

The invention discloses a social network graph compression method and system based on node classification and sorting, belonging to the field of big data processing, comprising: obtaining the in-degree of each node in the social network graph to obtain zero-in-degree nodes therein, and compressing the in-degree The highest top-k node is regarded as a high-degree node, and the remaining nodes are regarded as community nodes; the high-degree nodes are divided into different fields, and the high-degree nodes in the same field are sorted together; the community nodes are divided into Different communities, and sort the community nodes in the same community together; sort all zero-in-degree nodes together to the end; build a graph adjacency matrix according to the sorted nodes, and use the b consecutive bits in each row as a bit row ; For each node, only the bit row where the neighbor node is located is stored and encoded with a fixed length, so as to complete the compression of the social network graph. The invention can ensure the operation performance of the graph calculation task and improve the compression rate of the social network graph.

Description

technical field [0001] The invention belongs to the field of big data processing, and more specifically relates to a social network graph compression method and system based on node classification and sorting. Background technique [0002] Social networks are usually composed of social entities such as individuals or organizations, which are related through certain types of interdependence (such as kinship, friend, financial, interest, etc.). Driven by the World Wide Web, social network platforms have emerged one after another. Foreign social platforms such as Facebook, Twitter, LinkedIn, Instagram, Youtube, etc., and domestic social platforms such as QQ, WeChat, Sina Weibo, Douban, Baidu Tieba, etc. Social networks make people use the Internet from simple web browsing and information search to more diverse ways of making friends, joining communities, sharing content, and so on. It enriches the way of communication between people, and also affects people's lives. It has bec...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): H03M7/36G06F16/901G06Q50/00G06K9/62
CPCH03M7/3044G06F16/9024G06Q50/01G06F18/22
Inventor施展冯丹王芳龚慧媛朱涛吴雨桐何雨迪黄世财毛艳
OwnerHUAZHONG UNIV OF SCI & TECH