Publication details
Querying Similarity in Metric Social Networks
| Basic information | |
|---|---|
| Original title: | Querying Similarity in Metric Social Networks |
| Authors: | Jan Sedmidubský, Stanislav Bartoň, Vlastislav Dohnal, Pavel Zezula |
| Further information | |
|---|---|
| Citation: | SEDMIDUBSKÝ, Jan  - BARTOŇ, Stanislav - DOHNAL, Vlastislav - ZEZULA, Pavel. Querying Similarity in Metric Social Networks. In Network-Based Information Systems, First International Conference, NBiS 2007. Berlin : Springer, 2007. ISBN 3-540-74572-6, pp. 278-287. 2007, Regensburg. |
| Original language: | English |
| Field: | Informatika |
| Type: | Article in Proceedings |
| Keywords: | metric social network; similarity searching |
In this paper we tackle the issues of exploiting the concepts of social networking in processing similarity queries in the environment of a P2P network. The processed similarity queries are laying the base on which the relationships among peers are created. Consequently, the communities encompassing similar data emerge in the network. The architecture of the presented metric social network is formally defined using the acquaintance and friendship relations. Two version of the navigation algorithm are presented and thoroughly experimentally evaluated. Finally, learning ability of the metric social network is presented and discussed.
Related projects:
- Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
- Distributed Index Structures for Similarity Searching
