ABSTRACT
This paper argues that the basic premise of Social Network Analysis (SNA) -- namely that social reality is constituted by dyadic relations and that social interactions are determined by structural properties of networks-- is neither necessary nor sufficient, for Big Social Data analytics of Facebook or Twitter data. However, there exist no other holistic computational social science approach beyond the relational sociology and graph theory of SNA. To address this limitation, this paper presents an alternative holistic approach to Big Social Data analytics called Social Set Analysis (SSA). Based on the sociology of associations and the mathematics of classical, fuzzy and rough set theories, this paper proposes a research program. The function of which is to design, develop and evaluate social set analytics in terms of fundamentally novel formal models, predictive methods and visual analytics tools for Big Social Data. Four demonstrative case studies, employing SSA, covering the range of descriptive, predictive, visual and prescriptive analytics are presented and briefly discussed.
- Montalvo, R. E. 2011. Social Media Management. International Journal of Management & Information Systems (IJMIS) 15, 3, 91--96.Google ScholarCross Ref
- Vollmer, C. and Precourt, G. 2008. Always on: Advertising, marketing and media in an era of consumer control. McGraw-Hill Professional.Google Scholar
- McAfee, A. 2009. Enterprise 2.0: New collaborative tools for your organization's toughest challenges. Harvard Business School Press.Google Scholar
- Vatrapu, R. 2013. Understanding Social Business. Springer, City, 2013 *Incomplete citation.Google ScholarCross Ref
- Cleveland, W. S. 2001. Data science: an action plan for expanding the technical areas of the field of statistics. International statistical review 69, 1, 21--26.Google Scholar
- Loukides, M. 2012. What is data science? O'Reilly Media.Google Scholar
- Ohsumi, N. 2000. From data analysis to data science. Studies in Classification, Data Analysis and Knowledge Organization, 329--334.Google Scholar
- Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabasi, A. L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., and Van Alstyne, M. 2009. Computational Social Science. Science 323, 5915, 721--723.Google Scholar
- Sterne, J. 2010. Social media metrics: How to measure and optimize your marketing investment. John Wiley & Sons.Google Scholar
- Sponder, M. 2011. Social Media Analytics: Effective Tools for Building, Intrepreting, and Using Metrics. McGraw-Hill Professional.Google Scholar
- Tufekci, Z. 2014. Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls. In Proceedings of the 8th International Aaai Conference on Weblogs and Social Media. ICWSM. (Ann Arbor, USA, June 2--4, 2014).Google ScholarCross Ref
- Gross, J. L. and Yellen, J. 2005. Graph theory and its applications. CRC press. Google ScholarDigital Library
- Borgatti, S. P., Mehra, A., Brass, D. J. and Labianca, G. 2009. Network analysis in the social sciences. Science, 323, 5916, 892--895.Google Scholar
- Emirbayer, M. 1997. Manifesto for a relational sociology. The American Journal of Sociology 103, 2, 281--317.Google ScholarCross Ref
- Mukkamala, R., Hussain, A. and Vatrapu, R. Towards a Formal Model of Social Data. n.d. IT University Technical Report Series, TR-2013-1692013), https://pure.itu.dk/ws/files/54477234/ITU_TR_54472013_54477169.pdf.Google Scholar
- Vatrapu, R., Mukkamala, R., and Hussain, A. 2014. Towards a Set Theoretical Approach to Big Social Data Analytics: Concepts, Methods, Tools, and Empirical Findings.Google Scholar
- Mizruchi, M. S. 1994. Social network analysis: Recent achievements and current controversies. Acta sociologica 37, 4, 329--343.Google Scholar
- Vatrapu, R., Mukkamala, R., and Hussain, A. 2014. A Set Theoretical Approach to Big Social Data Analytics: Concepts, Methods, Tools, and Findings.Google Scholar
- Lovett, J. 2011. Social Media Metrics Secrets. Wiley.Google Scholar
- Latour, B. 2005. Reassembling the Social: An Introduction to Actor-Network-Theory. Oxford University Press.Google Scholar
- Ragin, C. C. 2000. Fuzzy-set social science. University of Chicago Press.Google Scholar
- Mukkamala, R., Hussain, A., and Vatrapu, R. 2014. Towards a Set Theoretical Approach to Big Data Analytics. In Proceedings of the 3rd IEEE International Congress on Big Data 2014, (Anchorage, United States). Google ScholarDigital Library
- Smithson, M. and Verkuilen, J. 2006. Fuzzy set theory: applications in the social sciences. Sage.Google Scholar
- Kechris, A. S. and Kechris, A. S. 1995. Classical descriptive set theory. Springer-Verlag New York.Google Scholar
- Vatrapu, R. 2007. Technological Intersubjectivity and Appropriation of Affordances in Computer Supported Collaboration. Doctoral Dissertation, University of Hawaii at Manoa, Honolulu: Available at http://www.itu.dk/people/rkva/docs/Vatrapu-Dissertation.pdf. Google ScholarDigital Library
- Vatrapu, R. 2009. Toward a Theory of Socio-Technical Interactions in Technology Enhanced Learning Environments. Springer-Verlag. Google ScholarDigital Library
- Vatrapu, R. 2010. Explaining culture: an outline of a theory of socio-technical interactions. In Proceedings of the 3rd ACM International Conference on Intercultural Collaboration. ICIC 2010, 111--120. Google ScholarDigital Library
- Robertson, S. and Vatrapu, R. Digital Government. 2010.Google Scholar
- Garfinkel, H. 1967. Studies in Ethnomethodology. Prentice-Hall, Englewood Cliffs, NJ.Google Scholar
- Kryszkiewicz, M. 1998. Rough set approach to incomplete information systems. Information sciences 112, 1, 39--49. Google ScholarDigital Library
- Cialdini, R. B. and Goldstein, N. J. 2004. Social influence: Compliance and conformity. Annu. Rev. Psychol. 55, 591--621.Google ScholarCross Ref
- Haugtvedt, C. P. and Herr, P. M. 2008. Handbook of consumer psychology. Lawrence Erlbaum Associates, New York, NY.Google Scholar
- Keim, D., Andrienko, G., Fekete, J. D., Görg, C., Kohlhammer, J., and Melançon, G. 2008. Visual analytics: Definition, process, and challenges. Springer.Google Scholar
- Lassen, N., Madsen, R. and Vatrapu, R. 2014. Predicting iPhone Sales from iPhone Tweets. In Proceedings of IEEE 18th International Enterprise Distributed Object Computing Conference (Ulm, Germany, 2014). EDOC 2014, 81--90, ISBN: 1541-7719/1514, DOI: 1510.1109/EDOC.2014.1520. Google ScholarDigital Library
- Shmueli, G. and Koppius, O. R. 2011. Predictive analytics in information systems research. Mis Quarterly 35, 3, 553--572. Google ScholarCross Ref
- Asur, S. and Huberman, B. A. 2010. Predicting the future with social media. IEEE.Google Scholar
- Belch, G. E., Belch, M. A., Kerr, G. F., and Powell, I. 2008. Advertising and promotion: An integrated marketing communications perspective. Mcgraw-Hill.Google Scholar
- Sato, H. 2014. Cournot Competition and Reduction of Corruption to Prevent Garment Factory Fires in Bangladesh. Advances in Management and Applied Economics 4, 4, 17--20.Google Scholar
- Khanna, P. 2011. Making labour voices heard during an industrial crisis: workers' struggles in the Bangladesh garment industry. TRAVAIL, capital et société 44, 2.Google Scholar
- Himi, S. A. and Rahman, A. 2013. Workers Unrest in Garment Industries in Bangladesh: An Exploratory Study. Journal of Organization and Human Behaviour 2, 3, 49--55.Google Scholar
- Rahman, S. 2013. Broken Promises of Globalization: The Case of the Bangladesh Garment Industry. Lexington Books.Google Scholar
- Stewart, K. L. 2013. An ethical analysis of the high cost of low-priced clothing. proceedings of Northeastern Association of Business, Economics, and Technology. NABET. 128.Google Scholar
- Islam, M. A., Deegan, C., and Gray, R. Social Audits and Multinational Company Supply Chain: A Study of Rituals of Social Audits in the Bangladesh Garment Industry. Available at SSRN 24661292014).Google Scholar
- Hussain, A. and Vatrapu, R. 2014. Social Data Analytics Tool (SODATO). Springer International Publishing.Google Scholar
- Robertson, S. 2011. Changes in referents and emotions over time in election-related social networking dialog. IEEE.Google Scholar
- Robertson, S., Vatrapu, R., and Medina, R. 2010. Online Video "Friends" Social Networking: Overlapping Online Public Spheres in the 2008 U.S. Presidential Election. Journal of Information Technology & Politics 7, 2-3, 182--201.Google ScholarCross Ref
- Robertson, S., Vatrapu, R. and Medina, R. 2010. Off the wall political discourse: Facebook use in the 2008 U.S. presidential election. Information Polity 15, 1-2, 11--31. Google ScholarDigital Library
- Hardt, D. and Wulff, J. 2012. What is the Meaning of 5*'s? An Investigation of the Expression and Rating of Sentiment. Empirical Methods on Natural Language Processing. In Proceedings of the Conference on Natural Language Processing, 319--326.Google Scholar
- Vatrapu, R., Robertson, S., and Dissanayake, W. 2008. Are Political Weblogs Public Spheres or Partisan Spheres? International Reports on Socio-Informatics 5, 1, 7--26.Google Scholar
- Zimmerman, C., Chen, Y., Hardt, D., and Vatrapu, R. 2014. Marius, the giraffe: a comparative informatics case study of linguistic features of the social media discourse. In Proceedings of the Proceedings of the 5th ACM international conference on Collaboration across boundaries: culture, distance & technology (Kyoto, Japan, 2014). ACM. Google ScholarDigital Library
Index Terms
Social set analysis: four demonstrative case studies
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