In addition to shaping social networks, for example, in terms of co-authorship relations, scientific communications induce and reproduce cognitive structures. Scientific literature is intellectually organized in terms of disciplines and specialties; these structures are reproduced and networked reflexively by making references to the authors, concepts and texts embedded in these literatures. Th...

Industrial symbiosis (IS) has been used to describe the physical exchange and shared management of input and output materials by geographically proximate firms. Firms that engage in IS are said to belong to an industrial ecosystem. Symbiosis has been found to be motivated by economic considerations, such as lowering costs for waste disposal, as well as by environmental ones, such as accessing l...

Social network awareness (SNA) has been used extensively as one of the strategies to increase knowledge sharing and collaboration opportunities. However, most SNA studies either focus on being aware of peer’s knowledge context or on social context. This work proposes online formative assessments with SNA, trying to address the problems of online formative assessment (i.e. lack of individual ass...

Recommender systems are essential to overcome the information overload problem in professional learning environments. In this paper, we investigate interest-based recommendation in academic networks using social network analytics (SNA) methods. We implemented 21 different recommendation approaches based on traditional Collaborative Filtering (CF), Singular Value Decomposition (SVD)-based RS, Tr...

Log data from computers used for network forensic analysis is ineffective at identifying specific security threats. limitations include the difficulty in reconstructing communication patterns between nodes and inability to identify more advanced By combining traditional log methods with a effective combination of approaches, comprehensive view can be achieved. This combined approach then help p...

0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.05.083 ⇑ Tel.: +34 954 55 43 10; fax: +34 954 55 69 89. E-mail address: [email protected] This paper proposes the identification of patterns of behaviour of open source software (OSS) communities using factor analysis and their social network analysis (SNA) features. OSS communities can be modelled as a social ...

In addition to shaping social networks, for example, in terms of co-authorship relations, scientific communications induce and reproduce cognitive structures. Scientific literature is intellectually organized in terms of disciplines and specialties; these structures are reproduced and networked reflexively by making references to the authors, concepts and texts embedded in these literatures. Th...

There is a natural match between studies of online communities and social network analysis (SNA). Information Systems research, in particular, has drawn heavily on the growing data sources available as a by-product of increased online social interaction, conducting social network analyses with this “trace data”. However, this type of data has properties that are distinct from the data upon whic...

Sources and data for social network analysis. Social analysis (SNA) is becoming more widespread in several scientific disciplines as a method processing social, economic, geographic, historical, digital, etc. data. Visualizations of graphs, communities other ties are multiplying. However, there risk that SNA users may lose sight the conditions under which their produced thereby over-interpret o...

SNA (Social Network Analysis) is a modeling method for users which symbolized by points (nodes) and interactions between are represented lines (edges). This needed to see patterns of social interaction in the network starting with finding out who key actors are. The novelty this study lies expansion analysis other suspects, not only identified during time. performs narrowed mapping examining no...