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Social Networks Content Analysis for Peacebuilding Application

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 355)


Peace provides the freedom to express our views, to relate with others people and create cooperation, and social networks (SNs) provide 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 content analysis (CA) of Pb-related data? This research proposes framework for automatic SNs data extraction (DE) and 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, first-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 CA 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 manmade terrorism activities) around the world.


  • Peacebuilding (Pb)
  • Social networks (SNs)
  • Content analysis (CA)
  • Data extraction (DE)

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  • DOI: 10.1007/978-3-319-17398-6_18
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This research was partially funded by the Ministry of Higher Education Malaysia under RAGS research grant (RAGS12-001-0001).

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Correspondence to Muniba Shaikh .

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Shaikh, M., Salleh, N., Marziana, L. (2015). Social Networks Content Analysis for Peacebuilding Application. In: Abraham, A., Muda, A., Choo, YH. (eds) Pattern Analysis, Intelligent Security and the Internet of Things. Advances in Intelligent Systems and Computing, vol 355. Springer, Cham.

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