Social Interaction Based Audience Segregation for Online Social Networks.

Online social networking is the latest craze that has captured
the attention of masses, people use these sites to communicate with their
friends and family. These sites o er attractive means of social interac-
tions and communications, but also raise privacy concerns. This paper
examines user's abilities to control access to their personal information
posted in online social networks. Online social networks lack common
mechanism used by individuals in their real life to manage their privacy.
The lack of such mechanism signi cantly a ects the level of user control
over their self presentation in online social networks. In this paper, we
present social interaction based audience segregation model for online so-
cial networks. This model mimics real life interaction patterns and makes
online social networks more privacy friendly. Our model uses type, fre-
quency, and initiation factor of social interactions to calculate friendship
strength. The main contribution of the model is that it considers set of
all possible interactions among friends and assigns a numerical weight
to each type of interaction in order to increase or decrease its contribu-
tion in calculation of friendship strength based on its importance in the
development of relationship ties.