A computational, social network-based approach to story understanding is proposed and implemented in the Conversation Map system. Analyses of audiences’ online discussions following the airing of two episodes of a wellknown television show are presented.

We study a networked version of the minority game in which agents can choose to follow the choices made by a neighbouring agent in a social network. We show that for a wide variety of networks a leadership structure always emerges, with most agents following the choice made by a few agents. We find a suitable parameterisation which highlights the universal aspects of the behaviour and which als...

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By examining diagrams created by study participants, we can gain insight into their perceptions of their personal social networks. In this study, we found that participants made use of both position and distance to differentiate the roles of those in their networks and express intimacy. This work has implication for both the elicitation and visualization of social networks.

Community detection in online social networks is typically based on the analysis of the explicit connections between users, such as “friends” on Facebook and “followers” on Twitter. But online users often have hundreds or even thousands of such connections, and many of these connections do not correspond to real friendships or more generally to accounts that users interact with. We claim that c...

This research attempts to describe the identity development of students/teachers who used a virtual social network –Facebook to work with historical mathematics and mathematicians in the frame of a second degree course. Fifteen participants aged from 24 to 53 years old participated in the course in which they were required to attend mathematical Facebook sites involved with math history. The re...

We provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning and focus on the implications of the form of learning (e.g., Bayesian vs. non-Bayesian), the sources of information (e.g., observation vs. communication), and the structure of social networks in which individuals are situated on three k...

Modern Online Social Networks (OSNs) have many similarities. They use social ties, promote sharing and users get to vote or like content. Even their underlying structure is similar, tightly knit communities, power law distributions and the flow of information from stronger nodes to weaker, are prevalent in almost every network. Users spend time to maintain their online profile and therefore fil...

Policy languages (such as privacy and rights) have had little impact on the wider community. Now that Social Networks have taken off, the need to revisit Policy languages and realign them towards Social Networks requirements has become more apparent. One such language is explored as to its applicability to the Social Networks masses. We also argue that policy languages alone are not sufficient ...