Social network is a social structure that exists among the similar interest of individuals, organizations or even on relations like friendship. Social network analysis is the measure of relationship between people, organizations and processing entities. In today’s scenario, Internet is acting as an interface for the people who spread across the globe to exchange their ideas. Social network anal...

Third party application providers in Online Social Networks can collect personal data of users through their friends without the user’s awareness. In some cases, one or more application providers may own several applications and thus the same provider may collect an excessive amount of personal data, which creates a serious privacy risk. Previous research has developed methods to quantify priva...

Social network awareness (SNA) has been used extensively as one of the strategies to increase knowledge sharing and collaboration opportunities. However, most SNA studies either focus on being aware of peer’s knowledge context or on social context. This work proposes online formative assessments with SNA, trying to address the problems of online formative assessment (i.e. lack of individual ass...

Data in the form of approximately 5 million No Limit Texas Hold’em hand histories collected from the online poker website PokerStars.com is used to model a game playing social network. Each player represents a node in the network, and weighted, directed edges represent the flow of money from the source to the target node, where the weight is equal to the amount of money transferred, normalized ...

A growing concern for end users of Online Social Networks (OSNs) is the privacy and control of user data due to the client-server architecture of the current ecosystems. In this paper, we introduce a privacy preserving decentralized OSN platform, which mimics real life social interactions. In particular, we decentralize the OSN platform and give direct control of the information to the user. Th...

We present PGPI+ (Partial Graph Profile Inference+) an improved algorithm for user profiling in online social networks. PGPI+ infers user profiles under the constraint of a partial social graph using rich information about users (e.g. group memberships, views and likes) and handles nominal and numeric attributes. Experimental results with 20,000 user profiles from the Pokec social network shows...

Nowadays, more and more recommender systems make use of the users’ online behaviors and social connections in order to help people find interesting information. In this paper, I discusses three pieces of work on recommendation approaches that can be applied on social network . The first paper is an overview of the recommender systems, problems and possible extensions; the second paper proposes ...

In product-oriented online social networks, members post product reviews as well as maintaining a list of friends. How to measure the influence a member receives from her friends? This study compares four models to measure the influence based on different theories which make various assumptions of member behavior in a social network. An empirical study was conducted based on 2324 social network...

This technical report considers the design of a social network that would address the shortcomings of the current ones, and identifies user privacy, security, and service availability as strong motivations that push the architecture of the proposed design to be distributed. We describe our design in detail and identify the property of resiliency as a key objective for the overall design philoso...

How is online social media activity structured in the geographical space? Recent studies have shown that in spite of earlier visions about the "death of distance", physical proximity is still a major factor in social tie formation and maintenance in virtual social networks. Yet, it is unclear, what are the characteristics of the distance dependence in online social networks. In order to explore...