Social Data Analytics Tool: Design, Development and Demonstrative Case Studies

Abid Hussain; Ravi Vatrapu

doi:10.1109/EDOCW.2014.70

Social Data Analytics Tool: Design, Development and Demonstrative Case Studies

Abid Hussain, Ravi Vatrapu

Norges Informasjonsteknologiske Høgskole

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Abstract

This paper presents the design, development and demonstrative case studies of the Social Data Analytics Tool, SODATO. Adopting Action Design Framework [1], the objective of SODATO [2] is to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. We report and discuss results from two demonstrative case studies that were conducted using SODATO and conclude with implications and future work.

Originalsprog	Engelsk
Titel	Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014
Redaktører	Georg Grossmann, Sylvain Hallé, Dimka Karastoyanova, Manfred Reichert, Stefanie Rinderle-Ma
Antal sider	5
Udgivelsessted	Los Alamitos, CA
Forlag	IEEE
Publikationsdato	2014
Sider	414-417
Artikelnummer	6975394
ISBN (Trykt)	9781479954704
DOI	https://doi.org/10.1109/EDOCW.2014.70
Status	Udgivet - 2014
Begivenhed	The 18th IEEE Enterprise Computing Conference. EDOC 2014: Utilizing Big Data for the Enterprise of the Future - Ulm, Tyskland Varighed: 1 sep. 2014 → 5 sep. 2014 Konferencens nummer: 18 http://www.edoc2014.org/

Konference

Konference	The 18th IEEE Enterprise Computing Conference. EDOC 2014
Nummer	18
Land/Område	Tyskland
By	Ulm
Periode	01/09/2014 → 05/09/2014
Internetadresse	http://www.edoc2014.org/

Navn	International Enterprise Distributed Object Computing Conference. Proceedings
Vol/bind	18
ISSN	1541-7719

Emneord

Data science
Computational social science
Social data analytics
Social graph
Social text

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Citationsformater

Hussain, A., & Vatrapu, R. (2014). Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. I G. Grossmann, S. Hallé, D. Karastoyanova, M. Reichert, & S. Rinderle-Ma (red.), Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014 (s. 414-417). Artikel 6975394 IEEE. https://doi.org/10.1109/EDOCW.2014.70

Hussain, Abid ; Vatrapu, Ravi. / Social Data Analytics Tool : Design, Development and Demonstrative Case Studies. Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014. red. / Georg Grossmann ; Sylvain Hallé ; Dimka Karastoyanova ; Manfred Reichert ; Stefanie Rinderle-Ma. Los Alamitos, CA : IEEE, 2014. s. 414-417 (International Enterprise Distributed Object Computing Conference. Proceedings, Bind 18).

@inproceedings{55d4ea9776484bad839b06a6f11209ee,

title = "Social Data Analytics Tool: Design, Development and Demonstrative Case Studies",

abstract = "This paper presents the design, development and demonstrative case studies of the Social Data Analytics Tool, SODATO. Adopting Action Design Framework [1], the objective of SODATO [2] is to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. We report and discuss results from two demonstrative case studies that were conducted using SODATO and conclude with implications and future work.",

keywords = "Data science, Computational social science, Social data analytics, Social graph, Social text",

author = "Abid Hussain and Ravi Vatrapu",

year = "2014",

doi = "10.1109/EDOCW.2014.70",

language = "English",

isbn = "9781479954704",

series = "International Enterprise Distributed Object Computing Conference. Proceedings",

pages = "414--417",

editor = "Georg Grossmann and Sylvain Hall{\'e} and Dimka Karastoyanova and Manfred Reichert and Stefanie Rinderle-Ma",

booktitle = "Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014",

publisher = "IEEE",

address = "United States",

note = "The 18th IEEE Enterprise Computing Conference. EDOC 2014 ; Conference date: 01-09-2014 Through 05-09-2014",

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Hussain, A & Vatrapu, R 2014, Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. i G Grossmann, S Hallé, D Karastoyanova, M Reichert & S Rinderle-Ma (red), Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014., 6975394, IEEE, Los Alamitos, CA, International Enterprise Distributed Object Computing Conference. Proceedings, bind 18, s. 414-417, The 18th IEEE Enterprise Computing Conference. EDOC 2014, Ulm, Tyskland, 01/09/2014. https://doi.org/10.1109/EDOCW.2014.70

Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. / Hussain, Abid ; Vatrapu, Ravi.
Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014. red. / Georg Grossmann; Sylvain Hallé; Dimka Karastoyanova; Manfred Reichert; Stefanie Rinderle-Ma. Los Alamitos, CA: IEEE, 2014. s. 414-417 6975394 (International Enterprise Distributed Object Computing Conference. Proceedings, Bind 18).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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AB - This paper presents the design, development and demonstrative case studies of the Social Data Analytics Tool, SODATO. Adopting Action Design Framework [1], the objective of SODATO [2] is to collect, store, analyze, and report big social data emanating from the social media engagement of and social media conversations about organizations. We report and discuss results from two demonstrative case studies that were conducted using SODATO and conclude with implications and future work.

KW - Data science

KW - Computational social science

KW - Social data analytics

KW - Social graph

KW - Social text

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DO - 10.1109/EDOCW.2014.70

M3 - Article in proceedings

SN - 9781479954704

T3 - International Enterprise Distributed Object Computing Conference. Proceedings

SP - 414

EP - 417

BT - Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014

A2 - Grossmann, Georg

A2 - Hallé, Sylvain

A2 - Karastoyanova, Dimka

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A2 - Rinderle-Ma, Stefanie

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Hussain A , Vatrapu R. Social Data Analytics Tool: Design, Development and Demonstrative Case Studies. I Grossmann G, Hallé S, Karastoyanova D, Reichert M, Rinderle-Ma S, red., Proceedings. IEEE 18th International Enterprise Distributed Object Computing. Workshops and Demonstrations, EDOC 2014. Los Alamitos, CA: IEEE. 2014. s. 414-417. 6975394. (International Enterprise Distributed Object Computing Conference. Proceedings, Bind 18). doi: 10.1109/EDOCW.2014.70