Research is proceeding to design new systems and algorithms for online communities, by taking into account their social network characteristics. However, differing network structures and dynamics will affect possible algorithms that attempt to make use of these networks. We lack an understanding of these impacts. In this paper, we present the CommunityNetSimulator (CNS), a simulator that enable...

Large-scale online communities rely on computer-mediated communication between participants, enabling them to sustain interactions and exchange on a scale hitherto unknown. Yet, little research has focused on how these online communities sustain themselves and how their interactions are structured. In this paper, we theorize and empirically measure the network exchange patterns of long-duration...

Online communities are connecting hordes of individuals and generating rich social network data. The social capital that resides within these networks is largely unknown. Our work focuses on modeling the social capital existing within these networks. The area spans multiple disciplines including sociology, political science, and computer science. This research area overview covers the most pert...

Shaping digital inclusion policy and practice to meet community-defined goals requires more than access devices connectivity; it must also enable their effective design use in situated local settings. For the Nation of Hawai’i, a <em>Kānaka Maoli</em> (Hawai’ian) sovereignty organization with land base Pu‘uhonua o Waimānalo on island Oahu, these activities are closely associated bro...

While most existing work about community focus on the community structure and the tendency of one individual joining a community; equally important is to understand social influence from community and to find strategies of attracting new members to join the community, which may benefit a range of applications. In this paper, we formally define the problem of community expansion in social networ...

In this paper we propose network methodology to infer prognostic cancer biomarkers based on the epigenetic pattern DNA methylation. Epigenetic processes such as DNA methylation reflect environmental risk factors, and are increasingly recognised for their fundamental role in diseases such as cancer. DNA methylation is a gene-regulatory pattern, and hence provides a means by which to assess genom...

Detecting communities has long been popular in the research on networks. It is usually modeled as an unsupervised clustering problem on graphs, based on heuristic assumptions about community characteristics, such as edge density and node homogeneity. In this work, we doubt the universality of these widely adopted assumptions and compare human labeled communities with machine predicted ones obta...

Community size is often found to be negatively correlated with prosocial behaviors such as formal volunteering, working on public projects and informal help to friends and strangers (Putnam 2000, p. 119, 206). This may be because people who reside in large communities simply spend less time socializing with each other. As a result, people living in large cities have on average fewer friends, an...

A social networking service can become the basis for the information infrastructure of the future. For that purpose, it is important to extract social networks that reflect actual social networks which users have already had. Providing a simple means for users to register their social relations is also important. We propose a method that combines various approaches to extract social networks. E...

in this paper, we present a binary-linear optimization model to prevent the spread of an infectious disease in a community. the model is based on the remotion of some connections in a contact network in order to separate infected nodes from the others. by using this model we nd an exact optimal solution and determine not only the minimum number of deleted links but also their exact positions. ...