background: the aim of this study was to survey the iranian parasitology researchers’ performance, and analyse and visualize the scientific outputs of their co-authorship network. methods: this study was conducted using scientometric method and social network analysis (sna). the data extracted from the web of science (wos) databases in july 10th 2014. totally, 1048documents of all types in rese...

STUDY OBJECTIVE It is increasingly recognised that different dimensions of social inequality may be linked to health by different pathways. Furthermore, factors operating at the individual level such as employment conditions may affect health in a different way from household level factors. The paper examines the associations between self rated health and four measures of social position- occup...

Patients with frontotemporal dementia (FTD) often exhibit prominent, early and progressive impairments in social behaviour. We developed the Social Impairment Rating Scale (SIRS), rated by a clinician after a structured interview, which grades the types and severity of social behavioural symptoms in seven domains. In 20 FTD patients, we used the SIRS to study the anatomic basis of social impair...

The rise of the social media sites, such as blogs, wikis, Digg and Flickr among others, underscores the transformation of the Web to a participatory medium in which users are collaboratively creating, evaluating and distributing information. The innovations introduced by social media has lead to a new paradigm for interacting with information, what we call ’social information processing’. In th...

This paper describes a system that examines the Twitter discussions to predict the spread of the seasonal epidemics (Chickenpox) in France. For evaluating these trends of spread, our system carries out the automatic collection, analysis and rating of tweets content. Our objective is to discuss variety of issues and challenges regarding use of Text Mining methods and the Social Network Analysis ...

Social Networks may exist as bipartite graphs which evolve with new links being continuously added between the two disjoint set of nodes. To understand the dynamism of such bipartite networks, it is useful to predict links between existing nodes. Using the Yelp social network between users and businesses, we attempt to predict user reviews on businesses and the rating of predicted reviews. In o...

Discovering influential bloggers will not only allow us to understand better the social activities taking place in the blogosphere, but will also provide unique opportunities for sales and advertising. In this paper, we develop an MIV (marketing influential value) model to evaluate the influential strength and identify the influential bloggers in the blogosphere. We analyze three dimensions of ...

Obtaining user opinion (using votes) is essential to ranking user-generated online content. However, any content voting system is susceptible to the Sybil attack where adversaries can out-vote real users by creating many Sybil identities. In this paper, we present SumUp, a Sybilresilient vote aggregation system that leverages the trust network among users to defend against Sybil attacks. SumUp ...

background and purpose: undoubtedly, social networks are being used extensively and are the most important communicative tool among students, especially at higher levels of education. we aimed to investigate the effect of social networks on education and academic learning. methods: this quasi-experimental study was conducted on 32 nursing students who were taking the cancer nursing course at ke...

Ratings are important for building up trust among different parties. Since the arrival of the internet era in the 1990s, countless online rating systems have emerged. For example, Amazon.com established a rating system for books and other products in 1995. Today online rating can be found everywhere, be it e-commerce sites, social networks, and information or recommendation platforms. In most c...