Understanding Social Effects in Online Networks

Huda Alhazmi; Swapna S. Gokhale; Derek Doran

doi:10.1109/ICCNC.2015.7069459

Understanding Social Effects in Online Networks

Huda Alhazmi, Swapna S. Gokhale, Derek Doran

Computer Science and Engineering

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

Abstract

Understanding the motives behind people’s interactions online can offer sound bases to predict how a social network may evolve and also support a host of applications. We hypothesize that three offline social factors, namely, stature, relationship strength, and egocentricity may also play an important role in driving users’ interactions online. Therefore, we study the influence of these three social factors in online interactions by analyzing the transitivity in triads or three-way relationships among users. Analyzing transitivity through the lens of triad census for four popular social networks, namely, Facebook, Twitter, YouTube and Slashdot, we find that: (i) users’ interactions are largely influenced by intermediary relations, which enhances the mediators’ stature; (ii) the strength of offline relationships plays a salient role in transitivity of relations online; and (iii) egocentricity, embodied in over-active and popular users, has a significant effect on the dynamics of online interactions.

Original language	English
Title of host publication	2015 International Conference on Computing, Networking and Communications, ICNC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	863-868
Number of pages	6
ISBN (Electronic)	9781479969593
DOIs	https://doi.org/10.1109/ICCNC.2015.7069459
State	Published - Mar 26 2015
Event	2015 International Conference on Computing, Networking and Communications, ICNC 2015 - Garden Grove, United States Duration: Feb 16 2015 → Feb 19 2015

Conference

Conference	2015 International Conference on Computing, Networking and Communications, ICNC 2015
Country/Territory	United States
City	Garden Grove
Period	2/16/15 → 2/19/15

ASJC Scopus Subject Areas

Computer Networks and Communications

Keywords

Network Analytics
Social Dynamics
Triad-Based Analysis

Disciplines

Bioinformatics
Communication
Communication Technology and New Media
Computer Sciences
Databases and Information Systems
Life Sciences
OS and Networks
Physical Sciences and Mathematics
Science and Technology Studies
Social and Behavioral Sciences

Access to Document

10.1109/ICCNC.2015.7069459

Understanding Social Effects in Online NetworksFinal published version, 258 KBLicense: Unspecified

Cite this

Alhazmi, H, Gokhale, SS & Doran, D 2015, Understanding Social Effects in Online Networks. in 2015 International Conference on Computing, Networking and Communications, ICNC 2015., 7069459, Institute of Electrical and Electronics Engineers Inc., pp. 863-868, 2015 International Conference on Computing, Networking and Communications, ICNC 2015, Garden Grove, United States, 2/16/15. https://doi.org/10.1109/ICCNC.2015.7069459

@inproceedings{6f877be126624718a61bb5a284bac4cb,

title = "Understanding Social Effects in Online Networks",

abstract = " Understanding the motives behind people{\textquoteright}s interactions online can offer sound bases to predict how a social network may evolve and also support a host of applications. We hypothesize that three offline social factors, namely, stature, relationship strength, and egocentricity may also play an important role in driving users{\textquoteright} interactions online. Therefore, we study the influence of these three social factors in online interactions by analyzing the transitivity in triads or three-way relationships among users. Analyzing transitivity through the lens of triad census for four popular social networks, namely, Facebook, Twitter, YouTube and Slashdot, we find that: (i) users{\textquoteright} interactions are largely influenced by intermediary relations, which enhances the mediators{\textquoteright} stature; (ii) the strength of offline relationships plays a salient role in transitivity of relations online; and (iii) egocentricity, embodied in over-active and popular users, has a significant effect on the dynamics of online interactions.",

keywords = "Network Analytics, Social Dynamics, Triad-Based Analysis",

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

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 International Conference on Computing, Networking and Communications, ICNC 2015 ; Conference date: 16-02-2015 Through 19-02-2015",

year = "2015",

month = mar,

day = "26",

doi = "10.1109/ICCNC.2015.7069459",

language = "English",

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booktitle = "2015 International Conference on Computing, Networking and Communications, ICNC 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Alhazmi, Huda

AU - Gokhale, Swapna S.

AU - Doran, Derek

PY - 2015/3/26

Y1 - 2015/3/26

N2 - Understanding the motives behind people’s interactions online can offer sound bases to predict how a social network may evolve and also support a host of applications. We hypothesize that three offline social factors, namely, stature, relationship strength, and egocentricity may also play an important role in driving users’ interactions online. Therefore, we study the influence of these three social factors in online interactions by analyzing the transitivity in triads or three-way relationships among users. Analyzing transitivity through the lens of triad census for four popular social networks, namely, Facebook, Twitter, YouTube and Slashdot, we find that: (i) users’ interactions are largely influenced by intermediary relations, which enhances the mediators’ stature; (ii) the strength of offline relationships plays a salient role in transitivity of relations online; and (iii) egocentricity, embodied in over-active and popular users, has a significant effect on the dynamics of online interactions.

AB - Understanding the motives behind people’s interactions online can offer sound bases to predict how a social network may evolve and also support a host of applications. We hypothesize that three offline social factors, namely, stature, relationship strength, and egocentricity may also play an important role in driving users’ interactions online. Therefore, we study the influence of these three social factors in online interactions by analyzing the transitivity in triads or three-way relationships among users. Analyzing transitivity through the lens of triad census for four popular social networks, namely, Facebook, Twitter, YouTube and Slashdot, we find that: (i) users’ interactions are largely influenced by intermediary relations, which enhances the mediators’ stature; (ii) the strength of offline relationships plays a salient role in transitivity of relations online; and (iii) egocentricity, embodied in over-active and popular users, has a significant effect on the dynamics of online interactions.

KW - Network Analytics

KW - Social Dynamics

KW - Triad-Based Analysis

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M3 - Conference contribution

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BT - 2015 International Conference on Computing, Networking and Communications, ICNC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 International Conference on Computing, Networking and Communications, ICNC 2015

Y2 - 16 February 2015 through 19 February 2015

ER -

Understanding Social Effects in Online Networks

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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Cite this