Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API
People have informal conversations on social media sites (Twitter, Facebook, etc) that shed light on the current issuesaround the world – opinions, and concerns about the learning process. Data from such environments can provide valuableinformation to predict the future to make effective decision ma...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2020-10-01
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| Series: | EAI Endorsed Transactions on Scalable Information Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.13-7-2018.163574 |
| _version_ | 1818529857062043648 |
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| author | Farhan Khan Saqib Saqib Pireh Soomro Asif Laghari Kamran Memon |
| author_facet | Farhan Khan Saqib Saqib Pireh Soomro Asif Laghari Kamran Memon |
| author_sort | Farhan Khan |
| collection | DOAJ |
| description | People have informal conversations on social media sites (Twitter, Facebook, etc) that shed light on the current issuesaround the world – opinions, and concerns about the learning process. Data from such environments can provide valuableinformation to predict the future to make effective decision making, however, the usage of such data is challenging. Thecomplexity of such data from social media content requires the use of human understanding as well as social networkanalysis to make predictions. We focused on political groups around the world to discover linkages behind the Terrorismaround the World to make predictions depend upon the data available. In this research paper, we focused on tweets relatedto the politicians and communities based on hashtags like #Syria #Weapons #Terrorist, etc. to identify the linkages of theuser who are talking about these issues depending upon the HashTag we used for the content analysis of social network byusing Gephi to make a prediction. |
| first_indexed | 2024-12-11T17:12:19Z |
| format | Article |
| id | doaj.art-0bbdbcc7f8c44c26872026db33c4a5cf |
| institution | Directory Open Access Journal |
| issn | 2032-9407 |
| language | English |
| last_indexed | 2024-12-11T17:12:19Z |
| publishDate | 2020-10-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Scalable Information Systems |
| spelling | doaj.art-0bbdbcc7f8c44c26872026db33c4a5cf2022-12-22T00:57:28ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Scalable Information Systems2032-94072020-10-0172710.4108/eai.13-7-2018.163574Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using APIFarhan Khan0Saqib Saqib1Pireh Soomro2Asif Laghari3Kamran Memon4Department of Computer Science, Sindh Madressatul Islam University, Karachi, PakistanDepartment of Computer Science, Sindh Madressatul Islam University, Karachi, PakistanDepartment of Computer Science, Sindh Madressatul Islam University, Karachi, PakistanDepartment of Computer Science, Sindh Madressatul Islam University, Karachi, PakistanSchool of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaPeople have informal conversations on social media sites (Twitter, Facebook, etc) that shed light on the current issuesaround the world – opinions, and concerns about the learning process. Data from such environments can provide valuableinformation to predict the future to make effective decision making, however, the usage of such data is challenging. Thecomplexity of such data from social media content requires the use of human understanding as well as social networkanalysis to make predictions. We focused on political groups around the world to discover linkages behind the Terrorismaround the World to make predictions depend upon the data available. In this research paper, we focused on tweets relatedto the politicians and communities based on hashtags like #Syria #Weapons #Terrorist, etc. to identify the linkages of theuser who are talking about these issues depending upon the HashTag we used for the content analysis of social network byusing Gephi to make a prediction.https://eudl.eu/pdf/10.4108/eai.13-7-2018.163574social networkcontent analysistwitter |
| spellingShingle | Farhan Khan Saqib Saqib Pireh Soomro Asif Laghari Kamran Memon Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API EAI Endorsed Transactions on Scalable Information Systems social network content analysis |
| title | Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API |
| title_full | Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API |
| title_fullStr | Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API |
| title_full_unstemmed | Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API |
| title_short | Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API |
| title_sort | social networks mining and analysis of specific groups political and regional by using api |
| topic | social network content analysis |
| url | https://eudl.eu/pdf/10.4108/eai.13-7-2018.163574 |
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