| dc.creator | Santiago, Rafael de | |
| dc.creator | Lamb, Luís C. | |
| dc.date | 2014-09 | |
| dc.date | 2014 | |
| dc.date | 2014-10-23T20:39:32Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/41847 | |
| dc.identifier | http://43jaiio.sadio.org.ar/proceedings/IJCAI/17-18.pdf | |
| dc.identifier | issn:2362-5120 | |
| dc.description | Community detection is an important problem for Computer and other sciences. Following Agarwal and Kempe one of the most important reasons to make clustering over a network is to identify the function/role of each element in a community.
If the communities have hundreds or thousands of elements, it is important to understand the functions of internal elements, but that will require an automatic process. In this context, we propose to develop a model, capable to identify elements with common features in different communities, based on the connection between elements and communities, agreeing with Newman and Girvan model features.
<i>(Párrafo extraído del texto a modo de resumen)</i> | |
| dc.description | Sociedad Argentina de Informática e Investigación Operativa (SADIO) | |
| dc.format | application/pdf | |
| dc.format | 17-18 | |
| dc.language | en | |
| dc.rights | http://creativecommons.org/licenses/by/3.0/ | |
| dc.rights | Creative Commons Attribution 3.0 Unported (CC BY 3.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.subject | community detection | |
| dc.subject | Clustering | |
| dc.subject | Network management | |
| dc.title | Identifying relationship patterns inside communities | |
| dc.type | Objeto de conferencia | |
| dc.type | Objeto de conferencia | |
