Labor mobility, both as a mechanism of knowledge diffusion and as a kind of social glue that holds together small production communities operative within a given territory, deserves serious consideration. In this context, focusing on a specific industrial cluster in Ankara, this paper reveals the extent and characteristics of the social networks created by the mobile laborers in order to unders...

Twitter can contribute to the continuous professional development of teachers by initiating and fostering informal learning. Social capital theory can aid to analyse the underlying communication processes and outcomes. Yet, previous research has largely neglected teachers and the role of social capital on Twitter. The present study addresses this shortcoming by analysing a hashtag conversation ...

Social networks are currently gaining increasing impact especially in the light of the ongoing growth of web-based services like facebook.com. A central challenge for the social network analysis is the identification of key persons within a social network. In this context, the article aims at presenting the current state of research on centrality measures for social networks. In view of highly ...

Twitter as a micro-blogging platform rose to instant fame mainly due to its minimalist features that allow seamless communication between users. As the conversations grew thick and faster, a placeholder feature called as Hashtags became important as it captured the themes behind the tweets. Prior studies have investigated the conversation dynamics, interplay with other media platforms and commu...

The paper first analyzes the different meanings of and interests in “societal and ethical implications of nanotechnology” by science fiction authors, scientists and engineers, policy makers and science managers, business people, transhumanists, the media, and cultural and social scientists. Based on the mutual semantic impact among these groups, a dynamical model of the debate on “societal and ...

Social networking sites have gained much popularity in the recent years. With millions of people connected virtually generate loads of data to be analyzed to infer meaningful associations among links. Link prediction algorithm is one such problem, wherein existing nodes, links and their attributes are analyzed to predict the possibility of potential links, which are likely to happen over a peri...

The recent technological developments on mobile technologies allied with the growing computational capabilities of sensing enabled devices have given rise to mobile sensing systems that can target community level problems. These systems are capable of inferring intelligence from acquired raw sensed data, through the use of data analysis techniques. However, due to their recent advent, associate...

As of 2016 the HIV/AIDS epidemics is still a key public health problem. Recent reports showed that alarmingly high numbers of people in vulnerable populations are not reached by preventative efforts. Despite technology improvement, we are not yet able to identify populations that are most susceptible to HIV infections. In order to enable evidencebased prevention, we are studying new methods to ...

To better address questions concerning animal sociality, animal behaviorists and behavioral ecologists are increasingly turning to the suite of analytical techniques known as social network analysis (SNA). SNA allows for the quantifi cation of multi-actor interactions, thereby providing a more realistic representation of social patterns and relationships. Here, we provide a brief introduction t...