Triads, Transitivity, and Social Effects in User Interactions on Facebook

Derek Doran; Huda Alhazmi; Swapna S. Gokhale

doi:10.1109/CASoN.2013.6622602

Triads, Transitivity, and Social Effects in User Interactions on Facebook

Derek Doran, Huda Alhazmi, Swapna S. Gokhale

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Most computational techniques that analyze Online Social Networks (OSNs) aim to discover patterns in a network's structure and the behavior of its users, but do not seek to understand how people's motives lead to these patterns. Studying the social effects that cause these patterns, however, can produce deeper insights that may transcend a specific network and are generically applicable. Therefore, a more promising approach is to anchor computational techniques to the underlying social effects that can explain the reasons behind why users interact the way they do. In this paper, we discover how the social effects of stature, relationship strength, and egocentricity shape the interactions among Facebook users. These effects are explored through transitivity in triads, which are network units that capture dynamics among triples of users. The analysis suggests that Facebook interactions are influenced by users with concentrated stature and strong bonds. However, the activities of popular and over-active users have little influence.

Original language	American English
Title of host publication	2013 5th International Conference on Computational Aspects of Social Networks
Publisher	IEEE
Pages	68-73
Number of pages	6
ISBN (Electronic)	978-1-4799-1409-8
ISBN (Print)	978-1-4799-1407-4
DOIs	https://doi.org/10.1109/CASoN.2013.6622602
State	Published - Oct 7 2013
Event	2013 5th International Conference on Computational Aspects of Social Networks, CASoN 2013 - Fargo, ND, United States Duration: Aug 12 2013 → Aug 14 2013

Conference

Conference	2013 5th International Conference on Computational Aspects of Social Networks, CASoN 2013
Country/Territory	United States
City	Fargo, ND
Period	8/12/13 → 8/14/13

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications

Keywords

Facebook
Stature
Transitivity
Triadic analysis
User interactions

Disciplines

Computer Sciences
Engineering

Access to Document

10.1109/CASoN.2013.6622602License: Unspecified

Cite this

Doran, D, Alhazmi, H & Gokhale, SS 2013, Triads, Transitivity, and Social Effects in User Interactions on Facebook. in 2013 5th International Conference on Computational Aspects of Social Networks., 6622602, IEEE, pp. 68-73, 2013 5th International Conference on Computational Aspects of Social Networks, CASoN 2013, Fargo, ND, United States, 8/12/13. https://doi.org/10.1109/CASoN.2013.6622602

@inproceedings{86e9e6908d7e419aaab5f123a1eff4e8,

title = "Triads, Transitivity, and Social Effects in User Interactions on Facebook",

abstract = " Most computational techniques that analyze Online Social Networks (OSNs) aim to discover patterns in a network's structure and the behavior of its users, but do not seek to understand how people's motives lead to these patterns. Studying the social effects that cause these patterns, however, can produce deeper insights that may transcend a specific network and are generically applicable. Therefore, a more promising approach is to anchor computational techniques to the underlying social effects that can explain the reasons behind why users interact the way they do. In this paper, we discover how the social effects of stature, relationship strength, and egocentricity shape the interactions among Facebook users. These effects are explored through transitivity in triads, which are network units that capture dynamics among triples of users. The analysis suggests that Facebook interactions are influenced by users with concentrated stature and strong bonds. However, the activities of popular and over-active users have little influence.",

keywords = "Facebook, Stature, Transitivity, Triadic analysis, User interactions",

author = "Derek Doran and Huda Alhazmi and Gokhale, {Swapna S.}",

year = "2013",

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doi = "10.1109/CASoN.2013.6622602",

language = "American English",

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booktitle = "2013 5th International Conference on Computational Aspects of Social Networks",

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note = "2013 5th International Conference on Computational Aspects of Social Networks, CASoN 2013 ; Conference date: 12-08-2013 Through 14-08-2013",

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T1 - Triads, Transitivity, and Social Effects in User Interactions on Facebook

AU - Doran, Derek

AU - Alhazmi, Huda

AU - Gokhale, Swapna S.

PY - 2013/10/7

Y1 - 2013/10/7

N2 - Most computational techniques that analyze Online Social Networks (OSNs) aim to discover patterns in a network's structure and the behavior of its users, but do not seek to understand how people's motives lead to these patterns. Studying the social effects that cause these patterns, however, can produce deeper insights that may transcend a specific network and are generically applicable. Therefore, a more promising approach is to anchor computational techniques to the underlying social effects that can explain the reasons behind why users interact the way they do. In this paper, we discover how the social effects of stature, relationship strength, and egocentricity shape the interactions among Facebook users. These effects are explored through transitivity in triads, which are network units that capture dynamics among triples of users. The analysis suggests that Facebook interactions are influenced by users with concentrated stature and strong bonds. However, the activities of popular and over-active users have little influence.

AB - Most computational techniques that analyze Online Social Networks (OSNs) aim to discover patterns in a network's structure and the behavior of its users, but do not seek to understand how people's motives lead to these patterns. Studying the social effects that cause these patterns, however, can produce deeper insights that may transcend a specific network and are generically applicable. Therefore, a more promising approach is to anchor computational techniques to the underlying social effects that can explain the reasons behind why users interact the way they do. In this paper, we discover how the social effects of stature, relationship strength, and egocentricity shape the interactions among Facebook users. These effects are explored through transitivity in triads, which are network units that capture dynamics among triples of users. The analysis suggests that Facebook interactions are influenced by users with concentrated stature and strong bonds. However, the activities of popular and over-active users have little influence.

KW - Facebook

KW - Stature

KW - Transitivity

KW - Triadic analysis

KW - User interactions

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M3 - Conference contribution

SN - 978-1-4799-1407-4

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BT - 2013 5th International Conference on Computational Aspects of Social Networks

PB - IEEE

T2 - 2013 5th International Conference on Computational Aspects of Social Networks, CASoN 2013

Y2 - 12 August 2013 through 14 August 2013

ER -

Triads, Transitivity, and Social Effects in User Interactions on Facebook

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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