The paper entitled "Influence of Personal Preferences on Link Dynamics in Social Networks," by A. Bahulkar, B.K. Szymanski, O. Lizardo, N. Chawla, and K. Chan has been accepted for publication in Complexity journal in vol. 2017.

The paper entitled "Influence of Personal Preferences on Link Dynamics in Social Networks," by Ashwin Bahulkar, Boleslaw Szymanski, Omar Lizardo, Nitesh Chawla, and Kevin Chan has been accepted for publication in Complexity journal in vol. 2017 and it is available at the link below. The paper studies a unique network data set including periodic surveys and electronic logs of dyadic contacts via smartphones of of students at university collected over 3 years. Students' opinions on a variety of political and social issues and lists of activities on campus were regularly recorded together with their relationship nominations. This data was used built a behavioral network defined by call and text data, and a cognitive network based on relationship nominations in ego-network surveys. The paper studies whether student preferences for certain attributes of neighbors can predict formation and dissolution of edges in both networks. A method is introduced for computing student preferences for different attributes which we use to predict link formation and dissolution. These attribute are ranked according to their importance for making predictions. The results show that personal preferences, in particular political views and preferences for common activities help predict link formation and dissolution in both the behavioral and cognitive networks.