A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, beside consistency checking, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as (labeled, directed) graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been pe...

The wild population of the African lion Panthera leo continues to decline, requiring alternate conservation programs to be considered. One such program is ex situ reintroduction. Prior to release, long-term monitoring and assessment of behavior is required to determine whether prides and coalitions behave naturally and are sufficiently adapted to a wild environment. Social network analysis (SNA...

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...

Social network analysis (SNA), which is a research field describing and modeling the social connection of a certain group of people, is popular among network services. Our topic words analysis project is a SNA method to visualize the topic words among emails from Obama.com to accounts registered in Columbus, Ohio. Based on Latent Dirichlet Allocation (LDA) model, a popular topic model of SNA, o...

The paper presents a recent development of an interdisciplinary research exploring innovative computational approaches to the scientific study of criminal behavior. The attention is focused on an attempt to combine social network analysis and agent-based modelling into CrimeMiner, an experimental framework that seamlessly integrates document-enhancement, visualization and network analysis techn...

Social network analysis (SNA) has become a mature scientific field over the last 50 years and is now an area with massive commercial appeal and renewed research interest. In this paper, we argue that new methods for collecting social nework strucuture, and the shift in scale of these networks, introduces a greater degree of imprecision that requires rethinking on how SNA techniques can be appli...

The resource-based view (RBV) considers organizational routines as fundamental for IT value creation as they determine the efficiency with which firms transform inputs to outputs. Yet, our understanding of how routines affect firm performance is still incomplete, especially concerning the contribution and complementarities between IT and non-IT-resources. As routines involve humans and consist ...

This paper analyses the behaviour of virtual communities for Open Source Software (OSS) projects. The development of OSS projects relies on virtual communities, which are built on relationships among members, being their final objective sharing knowledge and improving the underlying project. This study addresses the interactive collaboration in these kinds of communities applying social network...

Collaborative recommendation is widely used in e-commerce personalized service, but due to data sparsity and cold start, the existing method cannot give precise results. To improve the recommendation precision, this paper gives a new collaborative recommendation method based on SNA. The proposed method uses social network analysis( SNA) technical to analyze the trust between the users, expresse...

Bottlenose dolphins are attractive candidates for the application of social network analysis (SNA), in part because of their complex fi ssion–fusion social organization characterized by dynamic, temporally variable groups. In Shark Bay, Western Australia, researchers have studied the resident bottlenose dolphins since 1982. Using data on two calves from the Shark Bay dataset, here we present a ...