You Can Act Locally With Efficiency: Influential User Identification in Mobile Social Networks

Zhang, Maotian; Yang, Panlong; Tian, Chao; Tang, Shaojie

doi:10.1109/access.2016.2632900

Cited by 7 publications

(2 citation statements)

References 30 publications

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“…The placement of adware might be affecting the acceptance rate of users. Furthermore, the impact of adding replacement depends on the directly proportional to user involvement with advertised product [27].…”

Section: Influential Users and Social Networkmentioning

confidence: 99%

Association Rule Analysis-Based Identification of Influential Users in爐he燬ocial Media

Iqbal¹,

Khan²,

Khan³

et al. 2022

Computers, Materials &Amp; Continua

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The exchange of information is an innate and natural process that assist in content dispersal. Social networking sites emerge to enrich their users by providing the facility for sharing information and social interaction. The extensive adoption of social networking sites also resulted in user content generation. There are diverse research areas explored by the researchers to investigate the influence of social media on users and confirmed that social media sites have a significant impact on markets, politics and social life. Facebook is extensively used platform to share information, thoughts and opinions through posts and comments. The identification of influential users on the social web has grown as hot research field because of vast applications in diverse areas for instance political campaigns marketing, e-commerce, commercial and, etc. Prior research studies either uses linguistic content or graph-based representation of social network for the detection of influential users. In this article, we incorporate association rule mining algorithms to identify the top influential users through frequent patterns. The association rules have been computed using the standard evaluation measures such as support, confidence, lift, and conviction. To verify the results, we also involve conventional metrics for example accuracy, precision, recall and F1-measure according to the association rules perspective. The detailed experiments are carried out using the benchmark College-Msg dataset extracted by Facebook. The obtained results validate the quality and visibility of the proposed approach. The outcome of propose model verify that the association rule mining is able to generate rules to identify the temporal influential users on Facebook who are consistent on regular basis. The preparation of rule set help to create knowledge-based systems which are efficient and widely used in recent era for decision making to solve real-world problems.

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Section: Influential Users and Social Networkmentioning

confidence: 99%

Association Rule Analysis-Based Identification of Influential Users in爐he燬ocial Media

Iqbal¹,

Khan²,

Khan³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Hence, we decided to use other forms to represent the demand. When dealing with mobile phone data, the study area is often split into Voronoi tessellations generated by the cell phone towers [30]- [32] or square grids [33]- [35]. But some cell phone towers are located very close to each other, which can cause frequent signals jumps between the towers.…”

Section: B Demand Representationand Generationmentioning

confidence: 99%

Interest-Driven Outdoor Advertising Display Location Selection Using Mobile Phone Data

et al. 2019

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The modern outdoor advertising industry is introducing new technologies to attract attention and enhance effective reach. However, displaying the pertinent advertisements (ads) and maximizing their coverage are still a challenge, as little is known about the interests of passersby. In this paper, we attempted to fill this gap by 1) identifying the individuals' interests extracted from the mobile phone internet usage data, and 2) analyzing the individuals' mobility patterns acquired from the mobile phone location data. Based on these data, the problem of distributing the outdoor ads to the maximum reach of the potentially interested users was further formulated as a maximal covering location problem (MCLP). Specifically, a continuous space maximal coverage model, the MCLP-complementary coverage (MCLP-CC), was utilized to search for the optimal locations for a given category of advertisements. Finally, the proposed methodology was applied to Wuxue, a city in central China, as a case study. The calculation results show that when setting the same number of places for outdoor advertising, our approach achieves an average of 69% improvement compared with the current dominant ads placement approach (selecting the most crowded location) in reaching the potential target audiences. An average of 15% improvement compared with the classic MCLP model. Overall, this paper demonstrates the value of the mobile phone data for interest-driven outdoor advertising and its potential applications in other mobile services. INDEX TERMS Interest-driven outdoor advertising, maximal covering location problem, mobile phone data.

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Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media

Mao

Zhu

Liu

et al. 2020

Enterprise Information Systems

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You Can Act Locally With Efficiency: Influential User Identification in Mobile Social Networks

Cited by 7 publications

References 30 publications

Association Rule Analysis-Based Identification of Influential Users in爐he燬ocial Media

Association Rule Analysis-Based Identification of Influential Users in爐he燬ocial Media

Interest-Driven Outdoor Advertising Display Location Selection Using Mobile Phone Data

Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media

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