Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API

Khan, Farhan and Saqib, Saqib and Soomro, Pireh and Laghari, Asif and Memon, Kamran (2020) Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API. EAI Endorsed Transactions on Scalable Information Systems, 7 (27): e3. ISSN 2032-9407

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Abstract

People have informal conversations on social media sites (Twitter, Facebook, etc) that shed light on the current issues around the world – opinions, and concerns about the learning process. Data from such environments can provide valuable information to predict the future to make effective decision making, however, the usage of such data is challenging. The complexity of such data from social media content requires the use of human understanding as well as social network analysis to make predictions. We focused on political groups around the world to discover linkages behind the Terrorism around the World to make predictions depend upon the data available. In this research paper, we focused on tweets related to the politicians and communities based on hashtags like #Syria #Weapons #Terrorist, etc. to identify the linkages of the user who are talking about these issues depending upon the HashTag we used for the content analysis of social network by using Gephi to make a prediction.

Item Type: Article
Uncontrolled Keywords: Social network, content analysis, Twitter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 22 Oct 2020 12:32
Last Modified: 22 Oct 2020 12:32
URI: https://eprints.eudl.eu/id/eprint/723

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