A Method of Mining Opinion Leaders Based on PageRank

A technology for opinion leaders and users, applied in data processing applications, instruments, and other database retrieval directions, which can solve problems such as single applicability, difficulty in application, and narrow scope.

Active Publication Date: 2022-01-28
成都爱为贝思科技有限公司
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The traditional influence node analysis method relies on the topological structure of the complex network to measure the key nodes. Several commonly used statistical indicators for the key ranking of undirected network nodes are degree centrality, node betweenness centrality, proximity centrality, k-shell, k-core, eigenvector centrality, etc. These indicators for measuring key nodes have a single applicability and a narrow range, and are difficult to apply to new social networks. New social networks are user-centered and between users The various relationships in the network are constructed by edges, and also include text information generated by users, social behaviors between users, etc. Therefore, the traditional measurement method of node importance is difficult to apply, and new key points suitable for new social networks are needed. Algorithms for Node Metrics

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  • A Method of Mining Opinion Leaders Based on PageRank
  • A Method of Mining Opinion Leaders Based on PageRank
  • A Method of Mining Opinion Leaders Based on PageRank

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Embodiment Construction

[0036] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0037] see figure 1 , a PageRank-based opinion leader mining method proposed by the present invention is realized through the following steps:

[0038] Step 1. Collect social network hot event tweets to obtain a collection of event tweets.

[0039] In this embodiment, tweets related to hot events in the social network are collected, hot events on a certain topic are identified based on tweet event identification technology, and tweets related to the event form an event tweet set.

[0040] Step 2, extract the attribute features of users and tweets in the event.

[0041] In social media, an event is defined as a change in the amount of text data discussing a related topic at a specific point in time, which has time and topic characteristics, and is usually associated with entities such as people and places, and users act as drivers for the occurrence of ...

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Abstract

The invention proposes an opinion leader mining method based on PageRank, which belongs to the field of data mining. The present invention is based on the core idea of ​​the PageRank algorithm, which is introduced into the analysis of social network user influence. The present invention not only considers the relation topological structure information of social network users, but also integrates some attribute information of social network users reflecting their influence. In terms of social network topology information, the algorithm constructs a weighted user relationship network based on the forwarding relationship of users in the event. The event is of thematic nature and a large number of users participate in it. Using the forwarding mechanism to build a relationship network based on events not only has information The pertinence and targetness of the network can obviously reduce the use of social media information data, and at the same time, this kind of network is dynamic due to different events. For social network user attribute information, the algorithm uses user attribute information that can directly reflect user influence, and can more accurately describe user influence.

Description

technical field [0001] The invention belongs to the field of data mining, in particular to a method for mining opinion leaders based on PageRank. Background technique [0002] With the rapid development of Internet-based social media, social networks as a reflection and extension of the real world have become an inseparable part of people's daily life. As the main body of social networks, people actively participate in Internet-based social activities and dominate the interaction behavior of the entire social network. People can not only post new things they encounter anytime and anywhere on social platforms, but also Browse hot events in a timely manner, and participate in the discussion of events to express your views and emotions, and you can also find things you are interested in, and communicate and communicate with your friends and followers in a timely manner. [0003] In such a huge user base, users with different backgrounds and composition structures have differen...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/953G06Q50/00
CPCG06Q50/01
Inventor 鲁才于富财王森山胡光岷
Owner 成都爱为贝思科技有限公司
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