Skip to main content
View expanded cover

Pattern Analysis, Intelligent Security and the Internet of Things pp 193–200Cite as

Social Networks Content Analysis for Peacebuilding Application

  • 1336 Accesses

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

Abstract

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.

Keywords

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

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-17398-6_18
  • Chapter length: 8 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   139.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-17398-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   179.99
Price excludes VAT (USA)
Learn about institutional subscriptions
Fig. 1

Notes

  1. 1.

    http://worldunderstandingandpeace.com/2007/11/19/peace-some-thoughts-on-peace-what-is-peace-and-how-important-is-peace-in-our-life/.

  2. 2.

    http://www.simplysmile2012.com/. Last checked on Dec’12.

  3. 3.

    http://ushahidi.com/about-us. Last checked on Dec’12.

  4. 4.

    http://en.wikipedia.org/wiki/Ushahidi.

References

  1. Boyd, D.M., Ellison, N.B.: Social network sites: definition, history, and scholarship. J. Comput. Mediated Commun. (JCMC) 13(1):article 11 (2007)

    Google Scholar 

  2. Dambach, C.: What is peacebuilding? Alliance for peacebuilding. http://www.allianceforpeacebuilding.org/?aboutpeacebuilding. Accessed 14 Sept 2012

  3. Karki, S., Bennett, R., Nepal, N.: Youth and peacebuilding in Nepal: the current context and recommendations. In: sfcg.org, Jan 2012

    Google Scholar 

  4. Weber, R.P.: Basic Content Analysis, vol. 49. Sage Publications, Incorporated, London (1990)

    Google Scholar 

  5. Lasswell, H.D.: The structure and function of communication in society. Commun. Ideas 37 (1948)

    Google Scholar 

  6. DiMicco, J., Millen, D.R., Geyer, W., Dugan, C., Brownholtz, B., Muller, M.: Motivations for social networking at work. In: Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work, CSCW’08, New York, NY, USA, pp. 711–720. ACM (2008)

    Google Scholar 

  7. Waters, R.D., Burnett, E., Lamm, A., Lucas, J.: Engaging stakeholders through social networking: how nonprofit organizations are using Facebook. Public Relat. Rev. 35(2), 102–106 (2009)

    CrossRef  Google Scholar 

  8. Chakrabarti, S., van den Berg, M., Dom, B.: Focused crawling: a new approach to topic-specific web resource discovery. Comput. Netw. 31(1116), 1623–1640 (1999)

    Google Scholar 

  9. Goolsby, R.: Lifting elephants: twitter and blogging in global perspective. In: Social Computing and Behavioral Modeling, pp. 1–6. Springer, New York (2009)

    Google Scholar 

  10. Goolsby, R.: Social media as crisis platform: the future of community maps/crisis maps. ACM Trans. Intell. Syst. Technol. 1(1), 7:1–7:11 (2010)

    Google Scholar 

  11. Shaikh, M., Salleh, N., Marziana, L.: Social networks peacebuilding event mining: a systematic literature review. Published in proceedings of  3rd International Conference on Advanced Computer Science Applications and Technologies (ACSAT), pp.119–124, (2014)

    Google Scholar 

  12. Hirata, N., Sano, H., Shiramatsu, S., Ozono, T., Swezey, R.M.E., Shintani, T.: A web agent based on exploratory event mining in social media. In: International Conference on Advanced Applied Informatics, IIAI’12, pp. 236–241. IEEE (2012)

    Google Scholar 

  13. Kitaguchi, S., Miyanishi, T., Seki, K., Uehara, K.: Interactive disaster information search system for microblog by minimal user feedback (2013)

    Google Scholar 

  14. Chen, H.: Dark Web: Exploring and Data Mining the Dark Side of the Web, vol. 30. Springer, New York (2011)

    Google Scholar 

  15. Moens, M.F.: Information Extraction: Algorithms and Prospects in a Retrieval Context, vol. 21. Springer, New York (2006)

    Google Scholar 

  16. Niu, Y., Zhu, X., Li, J., Hirst, G.: Analysis of polarity information in medical text. In: AMIA Annual Symposium Proceedings, vol. 2005, p. 570. American Medical Informatics Association (2005)

    Google Scholar 

  17. Ted Pedersen: A decision tree of bigrams is an accurate predictor of word sense. In: Proceedings of the Second Annual Meeting of the North American Chapter of the Association for Computational Linguistics, pp. 79–86 (2001)

    Google Scholar 

  18. Java, A., Song, X., Finin, T., Tseng, B.: Why we twitter: understanding microblogging usage and communities. In: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, WebKDD/SNA-KDD’07, New York, NY, USA, pp. 56–65. ACM (2007)

    Google Scholar 

  19. Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G.J., Ng, A., Liu, B., Yu, P.S., Zhou, Z., Steinbach, M., Hand, D.J., Steinberg, D.: Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1), 1–37 (2008)

    Google Scholar 

Download references

Acknowledgment

This research was partially funded by the Ministry of Higher Education Malaysia under RAGS research grant (RAGS12-001-0001).

Author information

Authors and Affiliations

  1. Department of Computer Science, Kulliyyah of Information and Communication Technology—International Islamic University, Selangor, Malaysia

    Muniba Shaikh & Norsaremah Salleh

  2. Department of Information System, Kulliyyah of Information and Communication Technology—International Islamic University, Selangor, Malaysia

    Lili Marziana

Authors
  1. Muniba Shaikh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Norsaremah Salleh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lili Marziana
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Muniba Shaikh .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Department of Software Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Azah Kamilah Muda

  3. Department of Software Engineering Faculty of Info. and Communication Tech., Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Yun-Huoy Choo

Rights and permissions

Reprints and Permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

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. https://doi.org/10.1007/978-3-319-17398-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-17398-6_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17397-9

  • Online ISBN: 978-3-319-17398-6

  • eBook Packages: EngineeringEngineering (R0)