Social networks can represent many different types of relationships between actors, some explicit and some implicit. For example, email communications between users may be represented explicitly in a network, while managerial relationships may not. In ...

With the remarkable advances from isolated console games to massively multi-player online role-playing games, the online gaming world provides yet another place where people interact with each other. Online games have attracted attention from ...

Millions of people each year suffer from depression, which makes mental illness one of the most serious and widespread health challenges in our society today. There is therefore a need for effective policies, interventions, and prevention strategies ...

The advent of social media has facilitated the study of information diffusion, user interaction and user influence over social networks. The research on analyzing information spreading focuses mostly on modeling, while analyses of real-life data have ...

Social media and blogging services have become extremely popular. Every day hundreds of millions of users share conversations on random thoughts, emotional expressions, political news, and social issues. Users interact by following each other's updates ...

Twitter can be a powerful tool for the dissemination and discussion of public health information but how can we best describe its influence? In this paper we draw on social-psychological concepts such as social norms, social representations, emotions ...

Zoonoses are a class of infectious diseases causing growing concern of health authorities worldwide. Human and economic costs of zoonoses are substantial, especially in low-resource countries. New zoonoses emerge as a consequence of ecological, ...

Recommendation systems for online dating have recently attracted much attention from the research community. In this paper we propose a two-side matching framework for online dating recommendations and design an Latent Dirichlet Allocation (LDA) model ...

Community-based recommender systems have attracted much research attention. Forming communities allows us to reduce data sparsity and focus on discovering the latent characteristics of communities instead of individuals. Previous work focused on how to ...

Geographic locations of users form an important axis in public polls and localized advertising, but are not available by default. The number of users who make their locations public or use GPS tagging is relatively small, compared to the huge number of ...

This paper focuses on the predictability of recurring links: These links are generated repeatedly in a network for different forms of social ties, e.g. by face-to-face interactions in offline social networks. In particular, we analyse the predictability ...

This paper focuses on the analysis of group evolution events in networks of face-to-face proximity. First, we analyze statistical properties of group evolution, e.g., individual activity and typical group sizes. Furthermore, we define a set of specific ...

With public information becoming widely accessible and shared on today's web, greater insights are possible into crowd actions by citizens and non-state actors such as large protests and cyber activism. We present efforts to predict the occurrence, ...

This paper discusses the challenges and opportunities for using archival Internet data in order to observe a host of social science phenomena. Specifically, this paper introduces HistoryTracker, a new tool for accessing and extracting archived data from ...

This paper presents an analysis of humour use in Sina Weibo in reaction to the Chinese salt panic, which occurred as a result of the Fukushima disaster in March 2011. Basing the investigation on the humour Proximal Distancing Theory (PDT), and utilising ...

In this work, we aim to understand the mechanisms driving academic collaboration. We begin by building a model for how researchers split their effort between multiple papers, and how collaboration affects the number of citations a paper receives, ...

Fraudulent product promotion online, including online videos, is on the rise. In order to understand and defend against this ill, we engage in the fraudulent video economy for a popular video sharing website, YouTube, and collect a sample of over 3,300 ...

Open Source Software (OSS) has gained high amount of popularity during the last few years. It is becoming used by public and private institutions, even companies release portions of their code to obtain feedback from the community of voluntary ...

Agenda setting theory explains how media affects its audience. While traditional media studies have done extensive research on agenda setting, there are important limitations in those studies, including using a small set of issues, running costly ...

Users often manage which aspects of their personal identities to be manifested on social network sites (SNS). Thus, the content of personal information disclosed on users' profiles can be influenced by a number of factors, such as motivation of using ...