TY - JOUR
T1 - It takes two to tango
T2 - Exploring social tie development with both online and offline interactions
AU - Yin, Peifeng
AU - He, Qi
AU - Liu, Xingjie
AU - Lee, Wang Chien
N1 - Publisher Copyright:
© 2016 Wiley Periodicals, Inc..
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Understanding social tie development among users is crucial for user engagement in social networking services. In this paper, we analyze the social interactions, both online and offline, of users and investigate the development of their social ties using data trail of 'how social ties grow' left in mobile and social networking services. To the best of our knowledge, this is the first research attempt on studying social tie development by considering both online and offline interactions in a heterogeneous yet realistic relationship. In this study, we aim to answer three key questions: (i) is there a correlation between online and offline interactions? (ii) how is the social tie developed via heterogeneous interaction channels? and (iii) would the development of social tie between two users be affected by their common friends? To achieve our goal, we develop a Social-aware Hidden Markov Model (SaHMM) that explicitly takes into account the factor of common friends in measure of the social tie development. Our experiments show that, comparing with results obtained using HMM and other heuristic methods, the social tie development captured by our SaHMM is significantly more consistent to lifetime profiles of users.
AB - Understanding social tie development among users is crucial for user engagement in social networking services. In this paper, we analyze the social interactions, both online and offline, of users and investigate the development of their social ties using data trail of 'how social ties grow' left in mobile and social networking services. To the best of our knowledge, this is the first research attempt on studying social tie development by considering both online and offline interactions in a heterogeneous yet realistic relationship. In this study, we aim to answer three key questions: (i) is there a correlation between online and offline interactions? (ii) how is the social tie developed via heterogeneous interaction channels? and (iii) would the development of social tie between two users be affected by their common friends? To achieve our goal, we develop a Social-aware Hidden Markov Model (SaHMM) that explicitly takes into account the factor of common friends in measure of the social tie development. Our experiments show that, comparing with results obtained using HMM and other heuristic methods, the social tie development captured by our SaHMM is significantly more consistent to lifetime profiles of users.
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U2 - 10.1002/sam.11265
DO - 10.1002/sam.11265
M3 - Article
AN - SCOPUS:84930015477
SN - 1932-1864
VL - 9
SP - 174
EP - 187
JO - Statistical Analysis and Data Mining
JF - Statistical Analysis and Data Mining
IS - 3
ER -