Influencer Detection Through Social Network Analysis on Twitter of the Indonesian Smartphone Industry

Retiana Fadma Pertiwi Sinaga, Indra Budi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In the modern era, the company's marketing strategy has included the use of social media to increase product sales. For a business, social media can give both tangible and intangible benefits. The role of influencers is undeniably important in reviewing smartphones to generate significant sales profits, therefore identifying the proper influencer is a challenge for companies. Influencers in the smartphone industry are commonly selected based on several factors. This case research aims to show how the public, particularly on Twitter, is discussing the brand's smartphone products. This study aims to identify actors who play a key role in promoting smartphone products. The In-Degree, Outdegree, and Betweenness Centrality measures are used in this study to identify influencers using the Social Network Analysis approach. It was found that some influencers are also thought to have the ability to raise a brand's product awareness. There are 3 types of influencers, a real influencer who like to review smartphone product, an account that focuses on educating people about the specification of a gadget, and a person who often retweet Samsung smartphone product.

Original languageEnglish
Title of host publicationProceedings of 7th ASRES International Conference on Intelligent Technologies - ICIT 2022
EditorsKarm Veer Arya, Vipin Kumar Tripathi, Ciro Rodriguez, Eddy Yusuf
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages11
ISBN (Print)9789819919116
Publication statusPublished - 2023
Event7th International Conference on Intelligent Technologies, ICIT 2022 - Jakarta, Indonesia
Duration: 16 Dec 202218 Dec 2022

Publication series

NameLecture Notes in Networks and Systems
Volume685 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference7th International Conference on Intelligent Technologies, ICIT 2022


  • Influencer Detection
  • Social Media Analytics
  • Social Network Analysis


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