Publication details
Discovering communities of similar R&D projects
| Authors | |
|---|---|
| Year of publication | 2015 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.5220/0005663004600465 |
| Field | Informatics |
| Keywords | Community discovery; Document similarity; Eigenvector centrality; Latent semantic analysis |
| Description | Datasets about research projects contain knowledge that is valuable for several types of subjects working in the R&D field - including innovative companies, research institutes and universities even individual researchers or research teams, as well as funding providers. The main goal of this paper is to introduce a software tool based on a reusable methodology that allows us to deal with similarity of projects in order to group them and provide a deeper insight into a structure of considered set of projects in a visual way. In our approach we use several concepts developed in social network analysis. |