In industrial districts social norms are as important as formal institutions in coordinating actors’ behaviour. While the literature on agro-industrial districts has generally stressed the role of trust, the paper states that power can be as effective as trust in solving coordination problems stemming from contract incompleteness and opportunistic behaviours. The paper presents the results of a...

This paper presents an analysis of networks among small and medium-sized enterprises in the Irish biotech sector. The study applies social network analysis to determine the structure of networks of company directors and inventors in the biotech sector. In addition, on the basis of interviews, this article analyses the extent of actual knowledge flow through these industry networks. The paper ma...

Since there have been a number of online social networking services (SNS), we have been experiencing new social phenomena around us. Traditional social network analysis methods [Gan and Zhu 2007, Jung 2010] might have difficulties efficiently understanding the large-scale social data from such SNS [Jung 2012]. Moreover, as the area of social networks is a highly cross-disciplinary one, we aim t...

INTRODUCTION ............................................................................... 539 I. NETWORK ANALYSIS BACKGROUND ...................................... 540 A. What is a Network? ......................................................... 541 B. Network Analysis History ............................................... 543 1. Social Network Analysis ......................................

It is often possible to better understand group change over time through examining social network data in a spatial and temporal context. Providing that context from a text analysis perspective requires identifying locations and associating them with people. This paper presents our GeoRef algorithm to automatically do this person-to-place mapping. It involves the identification of location, and...

There is much research on social network analysis but only recently did scholars turn their attention to the volatility of social networks. An abundance of questions emerged. How does a social network evolve – can we nd laws and derive models that explain its evolution? How do communities emerge in a social network and how do they expand or shrink? What is a community in an evolving network – c...

In this article, an online support community for older people is studied, with the aim of developing a taxonomy of social roles based on content analysis and social network analysis. Four hundred messages (posted between August 9, 2007, and February 5, 2008) in an online support community for older people (http://www.seniornet.org) were investigated. The data were analyzed to identify and shed ...

Social network analysis has received much attention from Corporations recently. Corporations are trying to utilize social media platforms such as Twitter, Facebook and Sina Weibo to expand their own markets. Our system is an online tool to assist these corporations to 1) find potential customers, and 2) track a list of users by specific events from social networks. We employ both textual and ne...

Node classification in social networks has been proven to be useful in many real-world applications. The vast majority of existing algorithms focus on unsigned social networks (or social networks with only positive links), while little work exists for signed social networks. It is evident from recent developments in signed social network analysis that negative links have added value over positi...

Graphs are widely used in large scale social network analysis nowadays. Not only analysts need to focus on cohesive subgraphs to study patterns among social actors, but also normal users are interested in discovering what happening in their neighborhood. However, effectively storing large scale social network and efficiently identifying cohesive subgraphs is challenging. In this work we introdu...