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Social Network Analysis and Mining
Published in:

01-12-2016 | Original Article

Identifying and validating personality traits-based homophilies for an egocentric network

Authors: Md. Saddam Hossain Mukta, Mohammed Eunus Ali, Jalal Mahmud

Published in: Social Network Analysis and Mining | Issue 1/2016

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Abstract

Social network sites (SNS) have touched the lives of millions of people around the world. People share interests, ideas, photos, activities in the social networks with their family, colleagues, friends and acquaintances. However, the degree of interactions among members widely varies. According to a sociology principle, people with similar personality often interact with each other more frequently. A group of connected people with similar personality traits is termed as a homophily. In this paper, we develop a method to identify homophilies by analyzing the Big5 personality traits of users from their interactions in an egocentric network like Facebook. We observe that our homophilies correctly cluster ranged from 73 to 87 % users for different personality traits. We also present a novel validation technique to verify those extracted homophilies in real life. Note that we are the first to validate the extracted homophilies and compare those with baseline techniques from SNS usage in real life using an interview-based method. We notice that our validation results show different agreements ranged from 0.207 (fair) to 0.709 (substantial) among the raters of those homophilies in real-life .
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Metadata
Title
Identifying and validating personality traits-based homophilies for an egocentric network
Authors
Md. Saddam Hossain Mukta
Mohammed Eunus Ali
Jalal Mahmud
Publication date
01-12-2016
Publisher
Springer Vienna
Published in
Social Network Analysis and Mining / Issue 1/2016
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-016-0383-4

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