RT Conference Proceedings
T1 A Bio-Inspired Algorithm for Searching Relationships in Social Networks
A1 Rivero Espinosa, Jessica
A1 Cuadra Fernández, María Dolores
A1 Calle Gómez, Francisco Javier
A1 Isasi, Pedro
AB Nowadays the Social Networks are experiencing a growing importance. The reason of this is that they enable the information exchange among people, meeting people in the same field of work or establishing collaborations with other research groups. In order to manage social networks and to find people inside them, they are usually represented as graphs with persons as nodes and relationships between them as edges. Once this is done, establishing contact with anyone involves searching the chain of people to reach him/her, that is, the search of the path inside the graph which joins two nodes. In this paper, a new algorithm based on nature is proposed to realize this search: SoS-ACO (Sense of Smell - Ant Colony Optimization). This algorithm improves the classical ACO algorithm when it is applied in huge graphs.
PB IEEE - The Institute Of Electrical And Electronics Engineers, Inc
SN 978-1-4577-1132-9
YR 2011
FD 2011-10
LK https://hdl.handle.net/10016/20394
UL https://hdl.handle.net/10016/20394
LA eng
NO Proceedings of: Third International Conference on Computational Aspects of Social Networks (CASoN).Took place 2011, October,19-21 , in Salamanca (Sapin).The event Web site is  http://www.mirlabs.net/cason11/
NO This study was funded through a competitive grant awarded by the Spanish Ministry of Education and Science for the THUBAN Project (TIN2008-02711) and through MA2VICMR consortium (S2009/TIC-1542, http://www.mavir.net), a network of excellence funded bythe Madrid Regional Government.
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RD 18 may. 2024