Social Interaction Model

Benjamin Johannes Flesch

doi:10.1109/BigData.2018.8622346

Social Interaction Model

Benjamin Johannes Flesch

Department of Digitalization

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper introduces a novel conceptual foundation for Social Set Analysis, the Social Interaction Model. It contributes to the state-of-the-art theory in Big Social Data by extending the existing Social Data Model through proposal of an improved concept which is formally grounded in set theory and relational algebra. The concept of Interactions based on one initial Action between two social media Actors, and zero or many Reactions, all referencing the initial Action, is presented. Furthermore, temporal and spatial dimensions are included as a core component of the proposed model, thus streamlining data analytics tasks in the realm of Social Set Analysis. Key differences between the existing Social Data Model and the Social Interaction Model contributed in this paper are the inclusion of non-textual artifact content types, the unification of a previously bipartite Social Data Model, the deprecation of an empirically vague notion of Activities, and improved interoperability between data sources.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE International Conference on Big Data
Editors	Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz
Number of pages	3
Place of Publication	Los Alamitos, CA
Publisher	IEEE
Publication date	2019
Pages	3656-3658
Article number	8622346
ISBN (Print)	9781538650363
ISBN (Electronic)	9781538650349, 9781538650356
DOIs	https://doi.org/10.1109/BigData.2018.8622346
Publication status	Published - 2019
Event	Sixth IEEE International Conference on Big Data. IEEE BigData 2018 - The Westin Seattle, Seattle, United States Duration: 10 Dec 2018 → 13 Dec 2018 Conference number: 6 http://cci.drexel.edu/bigdata/bigdata2018/index.html

Conference

Conference	Sixth IEEE International Conference on Big Data. IEEE BigData 2018
Number	6
Location	The Westin Seattle
Country/Territory	United States
City	Seattle
Period	10/12/2018 → 13/12/2018
Internet address	http://cci.drexel.edu/bigdata/bigdata2018/index.html

Keywords

Big data analytics
Big social data
Computational social science
Social set analysis
Social data model

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Cite this

@inproceedings{dfb3c6af0fc343d9a2125dba070abbe8,

title = "Social Interaction Model",

abstract = "This paper introduces a novel conceptual foundation for Social Set Analysis, the Social Interaction Model. It contributes to the state-of-the-art theory in Big Social Data by extending the existing Social Data Model through proposal of an improved concept which is formally grounded in set theory and relational algebra. The concept of Interactions based on one initial Action between two social media Actors, and zero or many Reactions, all referencing the initial Action, is presented. Furthermore, temporal and spatial dimensions are included as a core component of the proposed model, thus streamlining data analytics tasks in the realm of Social Set Analysis. Key differences between the existing Social Data Model and the Social Interaction Model contributed in this paper are the inclusion of non-textual artifact content types, the unification of a previously bipartite Social Data Model, the deprecation of an empirically vague notion of Activities, and improved interoperability between data sources.",

keywords = "Big data analytics, Big social data, Computational social science, Social set analysis, Social data model, Big data analytics, Big social data, Computational social science, Social set analysis, Social data model",

author = "Flesch, {Benjamin Johannes}",

year = "2019",

doi = "10.1109/BigData.2018.8622346",

language = "English",

isbn = "9781538650363",

pages = "3656--3658",

editor = "Naoki Abe and Huan Liu and Calton Pu and Xiaohua Hu and Nesreen Ahmed and Mu Qiao and Yang Song and Donald Kossmann and Bing Liu and Kisung Lee and Tang, { Jiliang} and Jingrui He and Jeffrey Saltz",

booktitle = "Proceedings of the 2018 IEEE International Conference on Big Data",

publisher = "IEEE",

address = "United States",

note = "Sixth IEEE International Conference on Big Data. IEEE BigData 2018 ; Conference date: 10-12-2018 Through 13-12-2018",

url = "http://cci.drexel.edu/bigdata/bigdata2018/index.html",

}

Flesch, BJ 2019, Social Interaction Model. in N Abe, H Liu, C Pu, X Hu, N Ahmed, M Qiao, Y Song, D Kossmann, B Liu, K Lee, J Tang, J He & J Saltz (eds), Proceedings of the 2018 IEEE International Conference on Big Data., 8622346, IEEE, Los Alamitos, CA, pp. 3656-3658, Sixth IEEE International Conference on Big Data. IEEE BigData 2018, Seattle, Washington, United States, 10/12/2018. https://doi.org/10.1109/BigData.2018.8622346

Social Interaction Model. / Flesch, Benjamin Johannes.
Proceedings of the 2018 IEEE International Conference on Big Data. ed. / Naoki Abe; Huan Liu; Calton Pu; Xiaohua Hu; Nesreen Ahmed; Mu Qiao; Yang Song; Donald Kossmann; Bing Liu; Kisung Lee; Jiliang Tang; Jingrui He; Jeffrey Saltz. Los Alamitos, CA: IEEE, 2019. p. 3656-3658 8622346.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Social Interaction Model

AU - Flesch, Benjamin Johannes

N1 - Conference code: 6

PY - 2019

Y1 - 2019

N2 - This paper introduces a novel conceptual foundation for Social Set Analysis, the Social Interaction Model. It contributes to the state-of-the-art theory in Big Social Data by extending the existing Social Data Model through proposal of an improved concept which is formally grounded in set theory and relational algebra. The concept of Interactions based on one initial Action between two social media Actors, and zero or many Reactions, all referencing the initial Action, is presented. Furthermore, temporal and spatial dimensions are included as a core component of the proposed model, thus streamlining data analytics tasks in the realm of Social Set Analysis. Key differences between the existing Social Data Model and the Social Interaction Model contributed in this paper are the inclusion of non-textual artifact content types, the unification of a previously bipartite Social Data Model, the deprecation of an empirically vague notion of Activities, and improved interoperability between data sources.

AB - This paper introduces a novel conceptual foundation for Social Set Analysis, the Social Interaction Model. It contributes to the state-of-the-art theory in Big Social Data by extending the existing Social Data Model through proposal of an improved concept which is formally grounded in set theory and relational algebra. The concept of Interactions based on one initial Action between two social media Actors, and zero or many Reactions, all referencing the initial Action, is presented. Furthermore, temporal and spatial dimensions are included as a core component of the proposed model, thus streamlining data analytics tasks in the realm of Social Set Analysis. Key differences between the existing Social Data Model and the Social Interaction Model contributed in this paper are the inclusion of non-textual artifact content types, the unification of a previously bipartite Social Data Model, the deprecation of an empirically vague notion of Activities, and improved interoperability between data sources.

KW - Big data analytics

KW - Big social data

KW - Computational social science

KW - Social set analysis

KW - Social data model

KW - Big data analytics

KW - Big social data

KW - Computational social science

KW - Social set analysis

KW - Social data model

U2 - 10.1109/BigData.2018.8622346

DO - 10.1109/BigData.2018.8622346

M3 - Article in proceedings

SN - 9781538650363

SP - 3656

EP - 3658

BT - Proceedings of the 2018 IEEE International Conference on Big Data

A2 - Abe, Naoki

A2 - Liu, Huan

A2 - Pu, Calton

A2 - Hu, Xiaohua

A2 - Ahmed, Nesreen

A2 - Qiao, Mu

A2 - Song, Yang

A2 - Kossmann, Donald

A2 - Liu, Bing

A2 - Lee, Kisung

A2 - Tang, Jiliang

A2 - He, Jingrui

A2 - Saltz, Jeffrey

PB - IEEE

CY - Los Alamitos, CA

T2 - Sixth IEEE International Conference on Big Data. IEEE BigData 2018

Y2 - 10 December 2018 through 13 December 2018

ER -