An important informing channel for information technology professionals and other knowledge workers is their social networks. Taking the perspective of the transdisciplinary social capital theory, this study explores the relationship between information technology professionals’ social network positions and job performance. We operationalized their network positions as their network constraint,...

Social network analysis investigates the structure of human groups using pairwise links among their members. We show how matrix decompositions can be used to extend the standard repertoire of social network and link analysis tools to allow, for example, the inclusion of other information about individuals, and higher-order information about the relationships among them. We show how these extens...

This study examines a human-based approach for knowledge retention that is evolving through various knowledge sharing channels in a low-technology environment with a strong emphasis on social networks in a loosely-coupled inter-organisational government-industry collaboration focused on regional sustainability. Using social network analysis combined with interview and observational analysis, ou...

Computational analysis of musical influence networks and rank of sample-based music is presented with a unique outside examination of the WhoSampled.com dataset. The exemplary dataset maintains a large collection of artist-to-artist relationships of sample-based music, specifying the origins of borrowed or sampled material on a song-by-song basis. Directed song, artist, and musical genre networ...

Relationships play an important role in tacit knowledge transfer. At the same time, it is difficult to understand the relationships individuals have with one another in the workplace. One technique for doing so is that of Social Network Analysis (SNA). We examine the role that SNA can play in determining whether tacit knowledge is being transferred between personnel. The outcomes from our resea...

Nowadays, centrality measures from social network analysis are being used for discovering underlying relationships among different actors or elements whose connections can be modeled as a graph. Their application in the educational domain has not been studied thoroughly, but the information that these metrics provide, as well as their predictive power, justify their use to model the students’ s...

Combination of approaches for speaker role recognition In this article, we are particularly interested in recognizing speaker role inside broadcast news shows. Previous studies highlighted a link between speech spontaneity and speaker roles. An automatic spontaneous speech detection system has already been applied to recognize speaker roles, without any change in the method process (Dufour et a...

The rapid development of the number and the size of Online Social Network (OSNs) makes the analysis of Social Internetworking Scenarios (SIS’s) extremely challenging. In a SIS, a user can join multiple OSNs and two users can interact with each other even though they joined different OSNs and did not know each other. While OSNs have been extensively studied in the last years, the most peculiar a...

Ever since the introduction of wireless sensor networks in the research and development agenda, the corresponding community has been eager to harness the endless possibilities that this new technology has to offer. These micro sensor nodes, whose capabilities have skyrocketed over the last couple of years, have allowed for a wide range of applications to be created; applications that not so lon...

Social network sites (SNSs) can create new marketing opportunities by leveraging on members’ online social networks. In particular, such sites can produce a new type of product endorser – “friend endorser”, whose effectiveness remains unknown as compared to other types of product endorsers. This paper investigated the impact of three critical factors on advertising effectiveness of different ty...