Social networks content analysis for peacebuilding application

Peace provides the freedom to express our views, to relate with others people and create co-operation and Social Networks (SNs)provides that platform. SNs can play a very important role to improve Peacebuilding (Pb) applications as current peace related studies witness that violence and Pb related...

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Main Authors: Shaikh, Muniba, Salleh, Norsaremah, Abdullah, Lili Marziana
Format: Conference or Workshop Item
Language:English
English
Published: Springer International Publishing 2015
Subjects:
Online Access:http://irep.iium.edu.my/49540/
http://irep.iium.edu.my/49540/
http://irep.iium.edu.my/49540/
http://irep.iium.edu.my/49540/1/Zaharah_1.pdf
http://irep.iium.edu.my/49540/7/49540-Social_Networks_Content_Analysis_Fullpaper.pdf
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recordtype eprints
spelling iium-495402017-09-23T08:27:16Z http://irep.iium.edu.my/49540/ Social networks content analysis for peacebuilding application Shaikh, Muniba Salleh, Norsaremah Abdullah, Lili Marziana Q Science (General) Peace provides the freedom to express our views, to relate with others people and create co-operation and Social Networks (SNs)provides that platform. SNs can play a very important role to improve Peacebuilding (Pb) applications as current peace related studies witness that violence and Pb related reports are communicated through different SNs applications. People and victims of the conflicts make use of SNs and its applications to cast their concerns. However, the major setback of these SNs is to manage the huge amount of SNs data and to extract the topic specific (Pb related) information. There is lack of research done on SNCA by Pb perspective. Therefore the objective of this research is to perform CA, means to identify which (SN) what (data) how (to extract)? Furthermore, what features and techniques should be used for CA of Pb related data? This research proposes framework for automatic SNs data extraction (DE) and content analysis (CA) to achieve our objective. The proposed framework shows that twitter is most popular SN for Pb CA purpose and proposed framework presents the searching criteria and custom filters to extract the topic specific data. Moreover, the research proposes to use lexical analysis (LA) method to extract the SNs features, 1st order context representation (CR) technique to represent the context of the extracted features, DBSCAN clustering algorithm for data management by making different clusters, ranking algorithm, Log likelihood ratio and SVM techniques for content analysis and classification. The proposed framework aims to help in conducting SNCA to support Pb application in order to take important information from the sea of SNs data to predict violence related information or incidents that will help peacekeepers for communicating and maintaining peace related news (may it be natural disaster or man-made terrorism activities) around the world. Springer International Publishing 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/49540/1/Zaharah_1.pdf application/pdf en http://irep.iium.edu.my/49540/7/49540-Social_Networks_Content_Analysis_Fullpaper.pdf Shaikh, Muniba and Salleh, Norsaremah and Abdullah, Lili Marziana (2015) Social networks content analysis for peacebuilding application. In: 4th World Congress on Information & Communication Technologies (WICT'14), 8 - 10 Dec 2014, Malacca. http://link.springer.com/chapter/10.1007%2F978-3-319-17398-6_18 10.1007/978-3-319-17398-6_18
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic Q Science (General)
spellingShingle Q Science (General)
Shaikh, Muniba
Salleh, Norsaremah
Abdullah, Lili Marziana
Social networks content analysis for peacebuilding application
description Peace provides the freedom to express our views, to relate with others people and create co-operation and Social Networks (SNs)provides that platform. SNs can play a very important role to improve Peacebuilding (Pb) applications as current peace related studies witness that violence and Pb related reports are communicated through different SNs applications. People and victims of the conflicts make use of SNs and its applications to cast their concerns. However, the major setback of these SNs is to manage the huge amount of SNs data and to extract the topic specific (Pb related) information. There is lack of research done on SNCA by Pb perspective. Therefore the objective of this research is to perform CA, means to identify which (SN) what (data) how (to extract)? Furthermore, what features and techniques should be used for CA of Pb related data? This research proposes framework for automatic SNs data extraction (DE) and content analysis (CA) to achieve our objective. The proposed framework shows that twitter is most popular SN for Pb CA purpose and proposed framework presents the searching criteria and custom filters to extract the topic specific data. Moreover, the research proposes to use lexical analysis (LA) method to extract the SNs features, 1st order context representation (CR) technique to represent the context of the extracted features, DBSCAN clustering algorithm for data management by making different clusters, ranking algorithm, Log likelihood ratio and SVM techniques for content analysis and classification. The proposed framework aims to help in conducting SNCA to support Pb application in order to take important information from the sea of SNs data to predict violence related information or incidents that will help peacekeepers for communicating and maintaining peace related news (may it be natural disaster or man-made terrorism activities) around the world.
format Conference or Workshop Item
author Shaikh, Muniba
Salleh, Norsaremah
Abdullah, Lili Marziana
author_facet Shaikh, Muniba
Salleh, Norsaremah
Abdullah, Lili Marziana
author_sort Shaikh, Muniba
title Social networks content analysis for peacebuilding application
title_short Social networks content analysis for peacebuilding application
title_full Social networks content analysis for peacebuilding application
title_fullStr Social networks content analysis for peacebuilding application
title_full_unstemmed Social networks content analysis for peacebuilding application
title_sort social networks content analysis for peacebuilding application
publisher Springer International Publishing
publishDate 2015
url http://irep.iium.edu.my/49540/
http://irep.iium.edu.my/49540/
http://irep.iium.edu.my/49540/
http://irep.iium.edu.my/49540/1/Zaharah_1.pdf
http://irep.iium.edu.my/49540/7/49540-Social_Networks_Content_Analysis_Fullpaper.pdf
first_indexed 2023-09-18T21:10:01Z
last_indexed 2023-09-18T21:10:01Z
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