Abstract
We are now part of a networked society, characterized by the intensive use and dependence of information systems that deals with communication and information, to support decision-making. It is thus clear that organizations, in order to interact effectively with their customers, need to manage their communication activities at the level of online channels. Monitoring these communications can contribute to obtain decision support insights, reduce costs, optimize processes, etc. In this work, we semantically studied the discursive exchanges of a Facebook group created by a strawberries’ seller, in order to predict, through Social Network Analysis (SNA) and semantic analysis of the posts, the quantities to be ordered by customers. The obtained results show that the unstructured data of the Web’s speech can be used to support the decision through SNA.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Pang, B., Lee, L.: Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, vol. 2. Now Publishers Inc. (2008)
Tollinen, A., Jarvinen, J., Karjaluoto, H.: Opportunities and challenges of social media monitoring in the business to business sector. In: The 4th International Business and Social Science Research Conference, Dubai, UAE (2012)
Murugesan, S., Handbook of Research on Web 2.0, 3.0, and X.0 - Technologies, Business, and Social Applications. Advances in E-Business Research Series, pp. 1116. IGI-Global, Hershey (2010)
Batagelj, V., et al.: Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution. Computational and Quantitative Social Science. Wiley, Chichester (2014)
Marmo, R., Web mining and social network analysis. In: Zhang, H., Segall, R.S., Cao, M. (eds.) Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications, pp. 202–211. Information Science Reference, Hershey (2011)
Antunes, F., Costa, J.P.: Decision support social network. In: 6th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6. Chaves, Portugal (2011)
Davenport, T.H.: Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. Harvard Business School Press, USA (2014)
Pippal, S., et al.: Data mining in social networking sites: a social media mining approach to generate effective business strategies. Int. J. Innovations Adv. Comput. Sci. 3(2), 22–27 (2014)
Makrehchi, M., Kamel, M.S.: A text classification framework with a local feature ranking for learning social networks. In: Seventh IEEE International Conference on Data Mining, Omaha, NE (2007)
Gruszecka, M., Pikusa, M.: Using Text Network analysis in corpus studies - a comparative study on the 2010 TU-154 polish air force presidential plane crash newspaper coverage. Int. J. Soc. Sci. Humanity 5(2), 233–236 (2015)
Power, D.J., Phillips-Wren, G.: Impact of social media and web 2.0 on decision-making. J. Decis. Syst. 20(3), 249–261 (2012)
Herring, S.C.: Discourse in web 2.0: familiar, reconfigured, and emergent. In: Tannen, D., Trester, A.M. (eds.) Discourse 2.0: Language and New Media, pp. 1–25. Georgetown University Press, Washington, DC (2013)
Simon, H.A., The New Science of Management Decision. Prentice Hall, Upper Saddle River (1977)
Robinson, I., Webber, J., Eifrem, E.: Graph Databases. O’Reilly Media Inc., Gravenstein Highway North (2013)
Freire, M., Antunes, F., Costa, J.P.: Exploring social network analysis techniques on decision support. In: 2nd European Conference on Social Media (ECSM 2015), Porto (2015)
Herring, S.C.: Web content analysis: expanding the paradigm. In: Hunsinger, J., Klastrup, L., Allen, M. (eds.) The International Handbook of Internet Research, pp. 233–249. Springer, New York (2010)
Arif, T.: The mathematics of social network analysis: metrics for academic social networks. Int. J. Comput. Appl. Technol. Res. 4(12), 889–893 (2015)
Pinheiro, C.A.R.: Social Network Analysis in Telecomunications. Wiley (2011)
Jamali, M., Abolhassani, H.: Different aspects of social network analysis. In: IEEE/WIC/ACM International Conference on Web Intelligence, WI 2006, Hong Kong, pp. 66–72 (2003)
Hanneman, R.A., Riddle, M.: Introduction to Social Network Methods. University of California, Riverside (2005)
Ikematsu, K., Murata, T.: A fast method for detecting communities from tripartite networks. In: Jatowt, A., Lim, E.-P., Ding, Y., Miura, A., Tezuka, T., Dias, G., Tanaka, K., Flanagin, A., Dai, B.T. (eds.) SocInfo 2013. LNCS, vol. 8238, pp. 192–205. Springer, Cham (2013). doi:10.1007/978-3-319-03260-3_17
Feldman, R., Sanger, J.: The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press, New York (2007)
Borgatti, S.P.: 2-Mode concepts in social network analysis. In: Meyers, R.A. (ed.) Encyclopedia of Complexity and System Science, pp. 8279–8291. Springer, Larkspur (2009)
Provost, F., Fawcett, T.: Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. Data Science for Business. O’Reilly Media, USA (2013)
Aggarwal, C.C.: Social Network Data Analytics. Springer, New York (2011)
Brandes, U., Erlebach, T. (eds.): Network Analysis - Methodological Foundations. Springer, Heidelberg (2005)
Acknowledgments
This work has been supported by the Portuguese Foundation for Science and Technology (FCT) under project grant UID/MULTI/00308/2013.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Freire, M., Antunes, F., Costa, J.P. (2017). A Semantics Extraction Framework for Decision Support in Context-Specific Social Web Networks. In: Linden, I., Liu, S., Colot, C. (eds) Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems. ICDSST 2017. Lecture Notes in Business Information Processing, vol 282. Springer, Cham. https://doi.org/10.1007/978-3-319-57487-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-57487-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57486-8
Online ISBN: 978-3-319-57487-5
eBook Packages: Business and ManagementBusiness and Management (R0)