Access the full text.
Sign up today, get DeepDyve free for 14 days.
Marcelo Armentano, D. Godoy, A. Amandi (2011)
A Topology-Based Approach for Followees Recommendation in Twitter
P. Noller, H. Law, A. Comrey (1987)
Cattell, Comrey, and Eysenck personality factors compared: More evidence for the five robust factors?Journal of Personality and Social Psychology, 53
E. Tupes, R. Christal (1992)
Recurrent personality factors based on trait ratings.Journal of personality, 60 2
Maarten Selfhout, Jaap Denissen, S. Branje, W. Meeus (2009)
In the eye of the beholder: perceived, actual, and peer-rated similarity in personality, communication, and friendship intensity during the acquaintanceship process.Journal of personality and social psychology, 96 6
M. Tkalcic (2009)
Personality Based User Similarity Measure for a Collaborative Recommender System
Jannica Heinström (2003)
Five personality dimensions and their influence on information behaviourInf. Res., 9
P. Costa, R. McCrae (1997)
Longitudinal Stability of Adult Personality
P. Costa, R. McCrae (1994)
Set like plaster? Evidence for the stability of adult personality.
R. Sherman, C. Nave, D. Funder (2012)
Properties of persons and situations related to overall and distinctive personality-behavior congruenceJournal of Research in Personality, 46
Hanhua Chen, Xiaolong Cui, Hai Jin (2016)
Top-k followee recommendation over microblogging systems by exploiting diverse information sourcesFuture Gener. Comput. Syst., 55
D. Byrne, W. Griffitt, D. Stefaniak (1967)
Attraction and similarity of personality characteristics.Journal of personality and social psychology, 5 1
Shuotian Bai, T. Zhu, Li Cheng (2012)
Big-Five Personality Prediction Based on User Behaviors at Social Network SitesArXiv, abs/1204.4809
Rong Hu, P. Pu (2011)
Enhancing collaborative filtering systems with personality information
M. Choudhury, Y. Lin, H. Sundaram, K. Candan, Lexing Xie, Aisling Kelliher (2010)
How Does the Data Sampling Strategy Impact the Discovery of Information Diffusion in Social Media?Proceedings of the International AAAI Conference on Web and Social Media
M. McPherson, L. Smith-Lovin, J. Cook (2001)
Birds of a Feather: Homophily in Social NetworksReview of Sociology, 27
S. Shevade, S. Keerthi, C. Bhattacharyya, K. Murthy (2000)
Improvements to the SMO algorithm for SVM regressionIEEE transactions on neural networks, 11 5
R. McCrae, P. Costa (1989)
More Reasons to Adopt the Five-Factor ModelAmerican Psychologist, 44
Ronen Cuperman, W. Ickes (2009)
Big Five predictors of behavior and perceptions in initial dyadic interactions: personality similarity helps extraverts and introverts, but hurts "disagreeables".Journal of personality and social psychology, 97 4
R. McCrae, P. Costa (1982)
Self-concept and the stability of personality: Cross-sectional comparisons of self-reports and ratingsJournal of Personality and Social Psychology, 43
J. Block (1995)
A contrarian view of the five-factor approach to personality description.Psychological bulletin, 117 2
Maarten Selfhout, W. Burk, S. Branje, Jaap Denissen, M. Aken, W. Meeus (2010)
Emerging late adolescent friendship networks and Big Five personality traits: a social network approach.Journal of personality, 78 2
N. Waller, Y. Ben-Porath (1987)
Is it time for clinical psychology to embrace the five-factor model of personality?American Psychologist, 42
Hao Wu, V. Sorathia, V. Prasanna (2012)
Predict Whom One Will Follow: Followee Recommendation in Microblogs2012 International Conference on Social Informatics
Jonathan Herlocker, J. Konstan, L. Terveen, J. Riedl (2004)
Evaluating collaborative filtering recommender systemsACM Trans. Inf. Syst., 22
Sibel Adali, J. Golbeck (2012)
Predicting Personality with Social Behavior2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
M. Coltheart (1981)
The MRC Psycholinguistic DatabaseQuarterly Journal of Experimental Psychology, 33
J. Pennebaker, M. Mehl, Kate Niederhoffer (2003)
Psychological aspects of natural language. use: our words, our selves.Annual review of psychology, 54
L. Gottschalk, G. Gleser (1969)
The measurement of psychological states through the content analysis of verbal behavior
S. Rosenberg, G. Tucker (1979)
Verbal behavior and schizophrenia. The semantic dimension.Archives of general psychiatry, 36 12
J. Golbeck, Cristina Robles, Michon Edmondson, Karen Turner (2011)
Predicting Personality from Twitter2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing
T. Snijders, C. Steglich, M. Schweinberger (2007)
Modeling the Coevolution of Networks and Behavior
François Mairesse, M. Walker, M. Mehl, Roger Moore (2007)
Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and TextJ. Artif. Intell. Res., 30
Purpose – Followee recommendation is a problem rapidly gaining importance in Twitter as well as in other micro-blogging communities. To find interesting users to follow, most recommendation systems leverage different factors such as graph topology or user-generated content, among others. Those systems mostly disregard, however, the effect of psychological characteristics, such as personality, over the followee selection process. As personality is considered one of the primary factors that influence human behaviour, the purpose of this paper is to shed some light on the impact of personality traits on followee selection. Design/methodology/approach – The authors performed a data analysis comparing the similarity among Twitter users and their followees regarding personality traits. The authors analysed three different similarity measures. First, the authors computed an overall similarity considering the five personality traits or dimensions of the Five-Factor model as a whole. Second, the authors computed the dimension-to-dimension similarity considering each individual personality trait independently of each other. Third, the authors computed a cross-dimension similarity considering each personality dimension in relation to the others. Findings – This study showed that personality should be considered as a distinctive factor in the process of followee selection. However, personality dimensions should not be analysed as a whole as the overall personality similarity might not accurately assess the actual matching between individuals. Instead, the performed data analysis showed the existence of relations among the individual dimensions. Thus, the importance of considering each personality trait with respect to others is stated. Originality/value – This study is among the firsts to study the impact of personality, one of the primary factors that influence human behaviour and social relationships, in the selection of followees in micro-blogging communities.
Online Information Review – Emerald Publishing
Published: Oct 12, 2015
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.