Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation <sup>†</sup>
Influencer marketing is a modern method that uses influential users to approach goal customers easily and quickly. An online social network is a useful platform to detect the most effective influencer for a brand. Thus, we have an issue: how can we extract user data to determine an influencer? In th...
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doaj-9472d5dabc3c4c989a839522d5f93e682020-11-25T02:04:02ZengMDPI AGSustainability2071-10502020-04-01123064306410.3390/su12073064Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation <sup>†</sup>Tai Huynh0Hien Nguyen1Ivan Zelinka2Dac Dinh3Xuan Hau Pham4Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 700000, VietnamFaculty of Computer Science, University of Information Technology, Ho Chi Minh City 700000, VietnamDepartment of Computer Sciences, FEI VBS Technical University of Ostrava Tr. 17. Listopadu 15, Ostrava 70800, Czech RepublicKyanon Digital, Ho Chi Minh City 700000, VietnamFaculty of Engineering – Information Technology, Quang Binh University, Dong Hoi City 510000, Quang Binh, VietnamInfluencer marketing is a modern method that uses influential users to approach goal customers easily and quickly. An online social network is a useful platform to detect the most effective influencer for a brand. Thus, we have an issue: how can we extract user data to determine an influencer? In this paper, a model for representing a social network based on users, tags, and the relationships among them, called the SNet model, is presented. A graph-based approach for computing the impact of users and the speed of information propagation, and measuring the favorite brand of a user and sharing the similar brand characteristics, called a passion point, is proposed. Therefore, we consider two main influential measures, including the extent of the influence on other people by the relationships between users and the concern to user’s tags, and the tag propagation through social pulse on the social network. Based on these, the problem of determining the influencer of a specific brand on a social network is solved. The results of this method are used to run the influencer marketing strategy in practice and have obtained positive results.https://www.mdpi.com/2071-1050/12/7/3064influenceropinion leaderssocial pulseinformation propagationpassion pointcentrality measure |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tai Huynh Hien Nguyen Ivan Zelinka Dac Dinh Xuan Hau Pham |
spellingShingle |
Tai Huynh Hien Nguyen Ivan Zelinka Dac Dinh Xuan Hau Pham Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation <sup>†</sup> Sustainability influencer opinion leaders social pulse information propagation passion point centrality measure |
author_facet |
Tai Huynh Hien Nguyen Ivan Zelinka Dac Dinh Xuan Hau Pham |
author_sort |
Tai Huynh |
title |
Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation <sup>†</sup> |
title_short |
Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation <sup>†</sup> |
title_full |
Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation <sup>†</sup> |
title_fullStr |
Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation <sup>†</sup> |
title_full_unstemmed |
Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation <sup>†</sup> |
title_sort |
detecting the influencer on social networks using passion point and measures of information propagation <sup>†</sup> |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-04-01 |
description |
Influencer marketing is a modern method that uses influential users to approach goal customers easily and quickly. An online social network is a useful platform to detect the most effective influencer for a brand. Thus, we have an issue: how can we extract user data to determine an influencer? In this paper, a model for representing a social network based on users, tags, and the relationships among them, called the SNet model, is presented. A graph-based approach for computing the impact of users and the speed of information propagation, and measuring the favorite brand of a user and sharing the similar brand characteristics, called a passion point, is proposed. Therefore, we consider two main influential measures, including the extent of the influence on other people by the relationships between users and the concern to user’s tags, and the tag propagation through social pulse on the social network. Based on these, the problem of determining the influencer of a specific brand on a social network is solved. The results of this method are used to run the influencer marketing strategy in practice and have obtained positive results. |
topic |
influencer opinion leaders social pulse information propagation passion point centrality measure |
url |
https://www.mdpi.com/2071-1050/12/7/3064 |
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