The finding and dynamic detection of opinion leaders in social network
type: Item
instance of: scholarly article
title: The finding and dynamic detection of opinion leaders in social network
zbMATH Open document ID: 1407.91200
DOI: 10.1155/2014/328407
author: Xianqiang Yang
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: It is valuable for the real world to find the opinion leaders. Because different data sources usually have different characteristics, there does not exist a standard algorithm to find and detect the opinion leaders in different data sources. Every data source has its own structural characteristics, and also has its own detection algorithm to find the opinion leaders. Experimental results show the opinion leaders and theirs characteristics can be found among the comments from the Weibo social network of China, which is like Facebook or Twitter in USA.
Mathematics Subject Classification ID: 91D30
Mathematics Subject Classification ID: 91D10
Mathematics Subject Classification ID: 91A90
zbMATH DE Number: 7016186
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/328407
OpenAlex ID: W2080789802
Wikidata QID: Q59064304
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description: scientific article; zbMATH DE number 7016186