Analyzing patterns in large-scale graphs, such as social networks (e.g. Facebook, Linkedin, Twitter) has many applications including community identification, blog analysis, intrusion and spamming detections. Currently, it is impossible to process information in large-scale graphs with millions even billions of edges with a single computer. In this paper, we take advantage of MapReduce, a progr...

Large scale online social networks (OSNs) such as Facebook, Twitter, LinkedIn, have become an important part of our every day life. Users are connected to multiple OSNs in which they maintain their different profiles including a lot of personal and social information. As the number of friends of a given user may grow so rapidly, it becomes impossible to manage all updates from friends’ profiles...

1 Throughout this past year, the Haverford College Lawyers Network transformed from an idea into a reality. With the generosity of countless alumni, be it financially or w with their time, this organization created multiple forums with which to interact with other likeminded alumni. Specifically, the past year witnessed the establishment of four regional events (Philadelphia; Wilmington; New Yo...

Cultural attributes of employees affect organizations in several different ways through their impact on organizational goals and decision-making processes. Social media create ample opportunities for organizations to improve competitiveness and efficiency of marketing and communications. We empirically investigate the impact of employee cultural dimensions on social media usage at work and at h...

We consider in this paper competition of content creators in routing their content through various media. The routing decisions may correspond to the selection of a social network (e.g. twitter versus facebook or linkedin) or of a group within a given social network. The utility for a player to send its content to some medium is given as the difference between the dissemination utility at this ...

This study integrates the lens of social influence theory, virtual communities of practice, and practicebased view into a theoretical model to understand the role of social influence in B2B virtual communities in the collaboration of innovation activities with co-creating users. Specifically, the main goal of this study is to unravel the relationships among social influence, contribution behavi...

This article investigates several well-known social network applications such as Facebook, LinkedIn, Last.fm, Flickr and identifies semantics and social data portability as the main technical issues that need to be addressed in the future. We argue that these issues can be addressed by building social networks like Semantic Web applications with FOAF, SIOC, and Linked Data technologies, and sho...

Since the 1990s, informal and personal networks have gained increasing attention as repositories of learning and innovation. Social network analyses so far largely concentrate on the impact of network structures on innovation processes. The role of social network dynamics and the interrelation of structure and agency in these processes however need to be more intensively analyzed. This research...

In an attempt to leverage the profile information people maintain on social network platforms such as Facebook, LinkedIn, and Google+, many web sites and online services encourage users to register and log-in using these profiles. Despite the common adoption of this feature by online services, it is not clear whether they should integrate with social network platforms. On one hand, integration ...

The measurement of influence of social media has gained importance. This paper introduces a matrix to measure the influence of social media from individual users. This matrix comprises the parameters to measure personal influence for Facebook, Twitter, LinkedIn, YouTube and Google+ while taking into account current technology limitations for each of them. Furthermore, backgrounds are presented ...