∗Please do not cite this paper without explicit permission from the authors. This research was funded by a grant from the James Irvine Foundation as part of its California Votes Initiative, a multi-year effort to increase voting rates among infrequent voters particularly those in low-income and ethnic communities in California’s San Joaquin Valley and targeted areas in Southern California. The ...

The current methods used to mine and analyze temporal social network data make two assumptions: all edges have the same strength, and all parameters are time-homogeneous. We show that those assumptions may not hold for social networks and propose an alternative model with two novel aspects: (1) the modeling of edges as multi-valued variables that can change in intensity, and (2) the use of a cu...

Social network analysis (SNA) has been used to study the relationships between actors in social networks, revealing their features and patterns. In most cases, nodes and edges in graph theory are used to represent actors and relationships, and graph representations are used to visually analyze social networks. However, many visualization tools using network diagrams tend to depict most informat...

Social networks are becoming an integral part of people’s lives. Students are spending much time on social media and are considered the largest category that uses such application. This study tries to explore the influence of social media use, and especially Facebook, on high school students’ performance. The study used the GPA of students in four courses and their responses regarding the use o...

Social network analysis (SNA) has become a mature scientific field over the last 50 years and is now an area with massive commercial appeal and renewed research interest. In this paper, we argue that new methods for collecting social nework strucuture, and the shift in scale of these networks, introduces a greater degree of imprecision that requires rethinking on how SNA techniques can be appli...

Huge volumes of opinion-rich data is user-generated in social media at an unprecedented rate, easing the analysis of individual and public sentiments. Sentiment analysis has shown to be useful in probing and understanding emotions, expressions and attitudes in the text. However, the distinct characteristics of social media data present challenges to traditional sentiment analysis. First, social...

In this paper we introduce two novel algorithms that are able to efficiently determine an approximation to the minimum dominating set problem, and at the same time, they will preserve the quality of the solution to an acceptable level. We compare these two algorithms with three existing algorithms, for a large number of synthetic datasets, and for several real world social networks. For experim...

The purpose of this study is to give an empirical glance on different forms of self-exposure on Social Network Sites (SNS). Based on a sociological on-line game, it explores the different tendencies in the self-exhibition shift and tries to find out how it is linked to different strategies in order to choose friends. In the first game, people have to select, among four ranked pictures, the one ...

This workshop will be a hands-on introduction to using NetLogo and its recently released networks extension as a tool to explore the social network data we create every day. Using data from Facebook, we will design, construct, and explore network models to make sense of the sometimes counter-intuitive methods of Social Network Analysis (SNA). The goal of this workshop is two fold: (1) to provid...