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Social Set Analysis: Four Demonstrative Case Studies

Publication: Research - peer-reviewArticle in proceedings

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Social Set Analysis : Four Demonstrative Case Studies. / Vatrapu, Ravi; Hussain, Abid; Buus Lassen, Niels; Mukkamala, Raghava Rao; Flesch, Benjamin; Madsen, René.

Proceedings of the 2015 International Conference on Social Media & Society. ed. / Anatoliy Gruzd; Jenna Jacobson; Philip Mai; Barry Wellman. New York : Association for Computing Machinery, 2015. 3.

Publication: Research - peer-reviewArticle in proceedings

Harvard

Vatrapu, R, Hussain, A, Buus Lassen, N, Mukkamala, RR, Flesch, B & Madsen, R 2015, Social Set Analysis: Four Demonstrative Case Studies. in A Gruzd, J Jacobson, P Mai & B Wellman (eds), Proceedings of the 2015 International Conference on Social Media & Society., 3, Association for Computing Machinery, New York. DOI: 10.1145/2789187.2789203

APA

Vatrapu, R., Hussain, A., Buus Lassen, N., Mukkamala, R. R., Flesch, B., & Madsen, R. (2015). Social Set Analysis: Four Demonstrative Case Studies. In A. Gruzd, J. Jacobson, P. Mai, & B. Wellman (Eds.), Proceedings of the 2015 International Conference on Social Media & Society [3] New York: Association for Computing Machinery. DOI: 10.1145/2789187.2789203

CBE

Vatrapu R, Hussain A, Buus Lassen N, Mukkamala RR, Flesch B, Madsen R. 2015. Social Set Analysis: Four Demonstrative Case Studies. Gruzd A, Jacobson J, Mai P, Wellman B, editors. In Proceedings of the 2015 International Conference on Social Media & Society. New York: Association for Computing Machinery. Available from: 10.1145/2789187.2789203

MLA

Vatrapu, Ravi et al. "Social Set Analysis: Four Demonstrative Case Studies"., Gruzd, Anatoliy and Jacobson, Jenna Mai, Philip Wellman, Barry (ed.). Proceedings of the 2015 International Conference on Social Media & Society. New York: Association for Computing Machinery. 2015. Available: 10.1145/2789187.2789203

Vancouver

Vatrapu R, Hussain A, Buus Lassen N, Mukkamala RR, Flesch B, Madsen R. Social Set Analysis: Four Demonstrative Case Studies. In Gruzd A, Jacobson J, Mai P, Wellman B, editors, Proceedings of the 2015 International Conference on Social Media & Society. New York: Association for Computing Machinery. 2015. 3. Available from, DOI: 10.1145/2789187.2789203

Author

Vatrapu, Ravi; Hussain, Abid; Buus Lassen, Niels; Mukkamala, Raghava Rao; Flesch, Benjamin; Madsen, René / Social Set Analysis : Four Demonstrative Case Studies.

Proceedings of the 2015 International Conference on Social Media & Society. ed. / Anatoliy Gruzd; Jenna Jacobson; Philip Mai; Barry Wellman. New York : Association for Computing Machinery, 2015. 3.

Publication: Research - peer-reviewArticle in proceedings

Bibtex

@inbook{296833c007d143228ce08cf3c93a338f,
title = "Social Set Analysis: Four Demonstrative Case Studies",
author = "Ravi Vatrapu and Abid Hussain and {Buus Lassen}, Niels and Mukkamala, {Raghava Rao} and Benjamin Flesch and René Madsen",
year = "2015",
doi = "10.1145/2789187.2789203",
isbn = "9781450339230",
editor = "Anatoliy Gruzd and Jenna Jacobson and Philip Mai and Barry Wellman",
booktitle = "Proceedings of the 2015 International Conference on Social Media & Society",
publisher = "Association for Computing Machinery",
address = "United States",

}

RIS

TY - GEN

T1 - Social Set Analysis

T2 - Four Demonstrative Case Studies

AU - Vatrapu,Ravi

AU - Hussain,Abid

AU - Buus Lassen,Niels

AU - Mukkamala,Raghava Rao

AU - Flesch,Benjamin

AU - Madsen,René

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

UR - http://esc-web.lib.cbs.dk/login?url=http://dl.acm.org/citation.cfm?id=2789187.2789203&coll=DL&dl=ACM&CFID=700023775&CFTOKEN=54566019

U2 - 10.1145/2789187.2789203

DO - 10.1145/2789187.2789203

M3 - Article in proceedings

SN - 9781450339230

BT - Proceedings of the 2015 International Conference on Social Media & Society

PB - Association for Computing Machinery

ER -