Social Set Analysis: A Set Theoretical Approach to Big Data Analytics

IEEE Access

Volumn 4, Issue , 2016, Pages 2542-2571

  Vatrapu, Ravi ^a,b   Mukkamala, Raghava Rao ^a   Hussain, Abid ^a   Flesch, Benjamin ^a  

^a Department of International Economics and Management   (Denmark)

^b WESTERDALS OSLO SCHOOL OF ARTS   (Norway)

Author keywords

Big data visual Analytics; Big social data; Formal Models; New Computational Models for Big Social Data; Social Set Analysis

Indexed keywords

ASSOCIATION REACTIONS; AUTONOMOUS AGENTS; BEHAVIORAL RESEARCH; CLASSIFICATION (OF INFORMATION); COMPLEX NETWORKS; COMPUTATIONAL METHODS; GRAPH THEORY; PHILOSOPHICAL ASPECTS; SOCIAL SCIENCES; TEXT PROCESSING; VISUALIZATION;

ANALYTICAL APPROACH; COMPUTATIONAL SOCIAL SCIENCE; FORMAL MODEL; INTERACTION ANALYSIS; SOCIAL DATUM; SOCIAL SET ANALYSIS; THEORETICAL APPROACH; VISUAL ANALYTICS;

BIG DATA;

EID: 84979802684     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2016.2559584     Document Type: Article

References (97)

1. R. E. Montalvo, "Social media management," Int. J. Manage. Inf. Syst., vol. 15, no. 3, pp. 91-96, 2011
2. C. Vollmer and G. Precourt, Always On: Advertising, Marketing, and Media in an Era of Consumer Control (Strategy C Business). New York, NY, USA: McGraw-Hill, 2008.
3. A. McAfee, Enterprise 2.0: New Collaborative Tools for Your Organiza-tion's Toughest Challenges. Boston, MA, USA: Harvard Business Press, 2009.
4. R. Vatrapu, "Understanding social business," in Emerging Dimensions of Technology Management. India: Springer, 2013, pp. 147-158.
5. W. S. Cleveland, "Data science: An action plan for expanding the technical areas of the field of statistics," Int. Statist. Rev., vol. 69, no. 1, pp. 21-26, 2001. [Online]. Available: Http://dx.doi.org/10.1111/j.1751-5823.2001.tb00477.x
6. M. Loukides, What Is Data Science? Sebastopol, CA, USA: O'Reilly Media, 2012.
7. N. Ohsumi, "From data analysis to data science," in Data Analysis, Classification, and Related Methods. Berlin, Germany: Springer, 2000, pp. 329-334. [Online]. Available: Http://dx.doi.org/10.1007/978-3-642-59789-3-52
8. D. Lazer et al., "Computational social science," Science, vol. 323, no. 5915, pp. 721-723, 2009.
9. J. Sterne, Social Media Metrics: How to Measure and Optimize Your Marketing Investment. New York, NY, USA: Wiley, 2010.
10. M. Sponder, Social Media Analytics: Effective Tools for Building, Inter-preting, and Using Metrics. New York, NY, USA: McGraw-Hill, 2011.
11. Z. Tufekci. (2014). "Big questions for social media big data: Representativeness, validity and other methodological pitfalls." [Online]. Available: Http://arxiv.org/abs/1403.7400
12. C. Cioffi-Revilla, Introduction to Computational Social Science: Princi-ples and Applications. London, U.K.: Springer, 2013.
13. R. Vatrapu, R. R. Mukkamala, and A. Hussain, "Towards a set theoretical approach to big social data analytics: Concepts, methods, tools, and empirical findings," in Proc. Int. Conf. Social Media Soc. (SMSociety), 2014
14. S.Wasserman and K. Faust, Social Network Analysis: Methods and Appli-cations, vol. 8. Cambridge, U.K.: Cambridge Univ. Press, 1994.
15. M. Emirbayer, "Manifesto for a relational sociology," Amer. J. Sociol., vol. 103, no. 2, pp. 281-317, 1997.
16. R. Vatrapu, A. Hussain, N. B. Lassen, R. R. Mukkamala, B. Flesch, and R. Madsen, "Social set analysis: Four demonstrative case studies," in Proc. Int. Conf. Soc. Media Soc., 2015, p. 3.
17. S. P. Borgatti, A. Mehra, D. J. Brass, and G. Labianca, "Network analysis in the social sciences," Science, vol. 323, no. 5916, pp. 892-895, 2009.
18. J. L. Gross and J. Yellen, Graph Theory and Its Applications. Boca Raton, FL, USA: CRC Press, 2005.
19. M. S. Mizruchi, "Social network analysis: Recent achievements and current controversies," Acta Sociol., vol. 37, no. 4, pp. 329-343, 1994.
20. R.Vatrapu, R. R. Mukkamala, and A.Hussain, "Set theoretical approach to big social data analytics: Concepts, methods, tools, and findings," in Proc. Comput. Social Sci. Workshop Eur. Conf. Complex Syst. (ECSS), 2014.
21. F. Cusset, French Theory: How Foucault, Derrida, Deleuze, & Co. Trans-formed the Intellectual Life of the United States. Minneapolis, MN, USA: Univ. Minnesota Press, 2008.
22. I. Hacking, The Social Construction of What? Cambridge, MA, USA: Harvard Univ. Press, 1999.
23. D. Boyd and K. Crawford, "Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon," Inf., Commun. Soc., vol. 15, no. 5, pp. 662-679, 2012.
24. J. Lovett, Social Media Metrics Secrets, vol. 159. New York, NY, USA: Wiley, 2011.
25. B. Latour, Reassembling the Social: An Introduction to Actor-Network-Theory. New York, NY, USA: Oxford Univ. Press, 2005.
26. C. C. Ragin, Fuzzy-Set Social Science. Chicago, IL, USA: Univ. Chicago Press, 2000.
27. R. R. Mukkamala, A. Hussain, and R. Vatrapu, "Towards a set theoretical approach to big data analytics," in Proc. 3rd IEEE Int. Congr. Big Data, Jun./Jul. 2014, pp. 629-636. [Online]. Available: Http://www.itu.dk/people/rao/pubs-accepted/2014-IEEE-BigDatasocialdata-set-theory.pdf
28. M. J. Smithson and J. Verkuilen, Fuzzy Set Theory: Applications in the Social Sciences (Quantitative Applications in the Social Sciences). New York, NY, USA: SAGE Publications, Feb. 2006. [Online]. Available: Http://www.worldcat.org/isbn/076192986X
29. A. Kechris, Classical Descriptive Set Theory, vol. 156. New York, NY, USA: Springer-Verlag, 2012.
30. R. K. Vatrapu, "Technological intersubjectivity and appropriation of affordances in computer supported collaboration," Ph.D. dissertation, Dept. Commun. Inf. Sci., Univ. Hawaii Manoa, Honolulu, HI, USA, 2007.
31. R. K. Vatrapu, "Towards a theory of socio-technical interactions," in Learning in the Synergy of Multiple Disciplines. Berlin, Germany: Springer, 2009, pp. 694-699.
32. R. K. Vatrapu, "Explaining culture: An outline of a theory of sociotechnical interactions," in Proc. 3rd Int. Conf. Int. Collaboration (ICIC), 2010, pp. 111-120.
33. J. J. Gibson, The Ecological Approach to Visual Perception. Boston, MA, USA: Houghton Miffin, 1979.
34. A. Noë, Action in Perception. Cambridge, MA, USA: MIT Press, 2004.
35. A. Schutz, The Phenomenology of the Social World. Evanston, IL, USA: Northwestern Univ. Press, 1967.
36. H. Garfinkel, Studies in Ethnomethodology. Englewood Cliffs, NJ, USA: Prentice-Hall, 1967.
37. R. Vatrapu, A. Hussain, D. Hardt, and Z. Jaffari, "Social data analytics tool: A demonstrative case study of methodology and software," in Ana-lyzing Social Media Data and Web Networks, M. Cantijoch, R. Gibson, S. Ward, Eds. Basingstoke, U.K.: Palgrave Macmillan, 2014.
38. A. Hussain and R. Vatrapu, "Social data analytics tool (SODATO)," in Advancing the Impact of Design Science: Moving from Theory to Practice (Lecture Notes in Computer Science). Switzerland: Springer, 2014.
39. M. Kryszkiewicz, "Rough set approach to incomplete information systems," Inf. Sci., vol. 112, nos. 1-4, pp. 39-49, 1998.
40. N. M. Tichy, M. L. Tushman, and C. Fombrun, "Social network analysis for organizations," Acad. Manage. Rev., vol. 4, no. 4, pp. 507-519, Oct. 1979.
41. D. Krackhardt, "Cognitive social structures," Soc. Netw., vol. 9, no. 2, pp. 109-134, Jun. 1987.
42. J. Zhan and X. Fang, "Social computing: The state of the art," Int. J. Soc. Comput. Cyber-Phys. Syst., vol. 1, no. 1, pp. 1-12, 2011.
43. J. Karikoski and M. Nelimarkka, "Measuring social relations with multiple datasets," Int. J. Soc. Comput. Cyber-Phys. Syst., vol. 1, no. 1, pp. 98-113, 2011.
44. J. Sabater and C. Sierra, "Reputation and social network analysis in multiagent systems," in Proc. 1st Int. Joint Conf. Auton. Agents Multiagent Syst. (AAMAS), 2002, pp. 475-482.
45. M. Goldberg, S. Kelley, M. Magdon-Ismail, K. Mertsalov, and A.Wallace, "Finding overlapping communities in social networks," in Proc. IEEE 2nd Int. Conf. Soc. Comput. (SocialCom), Aug. 2010, pp. 104-113.
46. O. Macindoe and W. Richards, "Comparing networks using their fine structure," Int. J. Soc. Comput. Cyber-Phys. Syst., vol. 1, no. 1, pp. 79-97, 2011.
47. B. Pang and L. Lee, "Opinion mining and sentiment analysis," Found. Trends Inf. Retr., vol. 2, nos. 1-2, pp. 1-135, 2008.
48. C. R. Fink, D. S. Chou, J. J. Kopecky, and A. J. Llorens, "Coarse-and finegrained sentiment analysis of social media text," Johns Hopkins APL Tech. Dig., vol. 30, no. 1, pp. 22-30, 2011.
49. M. Grassi, E. Cambria, A. Hussain, and F. Piazza, "Sentic Web: Anewparadigm for managing social media affective information," Cognit. Comput., vol. 3, no. 3, pp. 480-489, 2011.
50. T. Nguyen, D. Phung, B. Adams, and S. Venkatesh, "Prediction of age, sentiment, and connectivity from social media text," in Web Information System Engineering. Berlin, Germany: Springer, 2011, pp. 227-240.
51. M. Taboada, J. Brooke, M. Tofiloski, K. Voll, and M. Stede, "Lexiconbased methods for sentiment analysis," Comput. Linguistics, vol. 37, no. 2, pp. 267-307, 2011.
52. T. Wilson, J. Wiebe, and P. Hoffmann, "Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis," Comput. Linguistics, vol. 35, no. 3, pp. 399-433, 2009.
53. S. Asur and B. A. Huberman, "Predicting the future with social media," in Proc. IEEE/WIC/ACM Int. Conf. Web Intell. Intell. Agent Technol. (WI-IAT), vol. 1. Aug./Sep. 2010, pp. 492-499.
54. H. Chen, P. De, Y. Hu, and B.-H. Hwang, "Sentiment revealed in social media and its effect on the stock market," in Proc. IEEE Statist. Signal Process. Workshop (SSP), Jun. 2011, pp. 25-28.
55. D. Hardt and J. Wulff, "What is the meaning of 5-0s? An investigation of the expression and rating of sentiment," in Proc. KONVENS, Sep. 2012, pp. 319-326.
56. S. P. Robertson, "Changes in referents and emotions over time in electionrelated social networking dialog," in Proc. 44th Hawaii Int. Conf. Syst. Sci. (HICSS), Jan. 2011, pp. 1-9.
57. M. Salathé and S. Khandelwal, "Assessing vaccination sentiments with online social media: Implications for infectious disease dynamics and control," PLoS Comput. Biol., vol. 7, no. 10, p. e1002199, 2011.
58. T. Menezes, C. Roth, and J.-P. Cointet, "Finding the semantic-level precursors on a blog network," Int. J. Soc. Comput. Cyber-Phys. Syst., vol. 1, no. 2, pp. 115-134, 2011.
59. R. R. Mukkamala, A. Hussain, and R. Vatrapu, "Towards a formal model of social data," IT Univ. Copenhagen, Copenhagen, Denmark, Tech. Rep. TR-2013-169, Nov. 2013.
60. McDonalds. McDonalds Facebook Post, accessed on May 18, 2016. [Online]. Available: Https://www.facebook.com/McDonalds/photos/a. 10150151878945584.414818.10150097174480584/10156340092750584/?type=3
61. H. Li and J. D. Leckenby, "Internet advertising formats and effectiveness," in Internet Advertising: Theory and Research, 2nd ed. Hove, U.K.: Psychology Press, 2007.
62. C. P. Haugtvedt, P. M. Herr, and F. R. Kardes, Eds., Handbook of Consumer Psychology. Hove, U.K.: Psychology Press, 2012.
63. K. Kunst and R. Vatrapu, "Towards a theory of socially shared consumption: Literature review, taxonomy and research agenda," in Proc. Eur. Conf. Inf. Syst. (ECIS), Tel Aviv, Israel, 2014, pp. 1-12.
64. T. E. Barry, "The development of the hierarchy of effects: An historical perspective," Current Issues Res. Advertising, vol. 10, nos. 1-2, pp. 251-295, 1987.
65. R. J. Lavidge and G. A. Steiner, "A model for predictive measurements of advertising effectiveness," J. Marketing, vol. 25, no. 6, pp. 59-62, 1961.
66. T. Veblen, The Theory of the Leisure Class: An Economic Study of Institu-tions. Oxford, U.K.: Oxford Univ. Press, 2009.
67. H.-J. Zimmermann, "Fuzzy set theory," Wiley Interdiscipl. Rev., Com-put. Statist., vol. 2, no. 3, pp. 317-332, 2010. [Online]. Available: Http://dx.doi.org/10.1002/wics.82
68. Google Inc. (Sep. 2012). Google Prediction API. [Online]. Available: Https://developers.google.com/prediction/
69. W. T. Coombs, "Choosing the right words: The development of guidelines for the selection of the appropriate' crisis-response strategies," Manage. Commun. Quart., vol. 8, no. 4, pp. 447-476, 1995.
70. W. T. Coombs, Ongoing Crisis Communication: Planning, Managing, and Responding. New York, NY, USA: Sage Publications, 2014.
71. C. Zimmerman, Y. Chen, D. Hardt, and R. Vatrapu, "Marius, the giraffe: A comparative informatics case study of linguistic features of the social media discourse," in Proc. Conf. Collaboration Across Boundaries: Cul-ture, Distance Technol., 2014, pp. 131-140.
72. R. R. Mukkamala, J. I. Sørensen, A. Hussain, and R. Vatrapu, "Detecting corporate social media crises on facebook using social set analysis," in Proc. IEEE Int. Congr. Big Data (BigData Congress), Jun./Jul. 2015, pp. 745-748.
73. P. Bromiley, M. Govekar, and A. Marcus, "On using event-study methodology in strategic management research," Technovation, vol. 8, no. 1, pp. 25-42, 1988.
74. A. McWilliams and D. Siegel, "Event studies in management research: Theoretical and empirical issues," Acad. Manage. J., vol. 40, no. 3, pp. 626-657, 1997.
75. A. C. MacKinlay, "Event studies in economics and finance," J. Econ. Literature, vol. 35, no. 1, pp. 13-39, 1997.
76. J. Binder, "The event study methodology since 1969," Rev. Quant. Finance Accounting, vol. 11, no. 2, pp. 111-137, 1998.
77. V. Bajaj. (Nov. 25, 2012). Fatal Fire in Bangladesh High-lights the Dangers Facing Garment Workers, New York Times, accessed on May 18, 2016. [Online]. Available: Http://www.nytimes.com/2012/11/26/world/asia/bangladesh-fire-killsmore-than-100-and-injures-many.html?ref=world&-r=0
78. H. Sato, "Cournot competition and reduction of corruption to prevent garment factory fires in bangladesh," Adv. Manage. Appl. Econ., vol. 4, no. 4, pp. 17-20, Aug. 2014.
79. P. Khanna, "Making labour voices heard during an industrial crisis:Workers' struggles in the Bangladesh garment industry," Labour, Capital Soc., vol. 44, no. 2, pp. 106-129, 2011.
80. J. A. Manik, J. Yardley, and B. Dhaka. (2014). Building collapse in bangladesh leaves scores dead. NY TIMES. [Online]. Available: Http://www.nytimes.com/2013/04/25/world/asia/bangladesh-buildingcollapse. html
81. J. Burke. (Jun. 6, 2013). Bangladesh Factory Collapse Leaves Trail of Shattered Lives, Guardian, accessed on May 18, 2016. [Online]. Available: Http://www.theguardian.com/world/2013/jun/06/bangladeshfactory-building-collapse-community
82. S. A. Himi and A. Rahman, "Workers unrest in garment industries in Bangladesh: An exploratory study," J. Org. Human Behaviour, vol. 2, no. 3, pp. 49-55, 2013.
83. S. Rahman, Broken Promises of Globalization: The Case of the Bangladesh Garment Industry. Lexington, KY, USA: Lexington Books, 2013.
84. K. L. Stewart, "An ethical analysis of the high cost of low-priced clothing," J. Acad. Bus.Ethics, vol. 8, pp. 1-9, Jul. 2014.
85. M. Azizul, C. Deegan, and R. Gray. (Jul. 14, 2014). Social Audits and Multinational Company Supply Chain: A Study of Rituals of Social Audits in the Bangladesh Garment Industry. [Online]. Available: Http://ssrn.com/abstract=2466129
86. A. Hussain and R. Vatrapu, "Social data analytics tool: Design, development, and demonstrative case studies," in Proc. IEEE 18th Enterprise Distrib. Object Comput. Conf. Workshops Demonstrations (EDOCW), Sep. 2014, pp. 414-417.
87. H. G. Miller and P. Mork, "From data to decisions: A value chain for big data," IT Prof., vol. 15, no. 1, pp. 57-59, 2013.
88. C. Abras, D. Maloney-Krichmar, and J. Preece, "User-centered design," in Encyclopedia of Human-Computer Interaction, W. Bainbridge, Ed. Thousand Oaks, CA, USA: Sage Publications, 2004.
89. A. Thiem and A. Dusa, Qualitative Comparative Analysis with R A User's Guide, vol. 5. New York, NY, USA: Springer-Verlag, 2012.
90. C. C. Ragin, Redesigning Social Inquiry: Fuzzy Sets and Beyond, vol. 240. New York, NY, USA: Wiley, 2008.
91. C. C. Ragin, The Comparative Method: Moving Beyond Qualitative and Quantitative Strategies. Berkeley, CA, USA: Univ. California Press, 1987.
92. P. C. Fiss, "A set-theoretic approach to organizational configurations," Acad. Manage. Rev., vol. 32, no. 4, pp. 1180-1198, 2007.
93. C. Wagemann and C. Q. Schneider, "Qualitative comparative analysis (QCA) and fuzzy-sets: Agenda for a research approach and a data analysis technique," Comparative Sociol., vol. 9, no. 3, pp. 376-396, 2010.
94. P. Emmenegger, D. Schraff, and A. Walter, "QCA, the truth table analysis and large-n survey data: The benefits of calibration and the importance of robustness tests," presented at the 2nd Int. QCA Expert Workshop, Zurich, Switzerland, 2014.
95. A. Lex, N. Gehlenborg, H. Strobelt, R. Vuillemot, and H. Pfister, "UpSet: Visualization of intersecting sets," IEEE Trans. Vis. Comput. Graph-ics, vol. 20, no. 12, pp. 1983-1992, Dec. 2014. [Online]. Available: Http://vcg.github.io/upset
96. L. Micallef and P. Rodgers, "eulerAPE: Drawing area-proportional 3-Venn diagrams using ellipses," PloS One, vol. 9, no. 7, p. e101717, 2014.
97. R. R. Mukkamala, J. I. Sorensen, A. Hussain, and R. Vatrapu, "Social set analysis of corporate social media crises on Facebook," in Proc. IEEE 19th Int. Enterprise Distrib. Object Comput. Conf. (EDOC), Sep. 2015, pp. 112-121.