BARTOŇ, Stanislav, Vlastislav DOHNAL, Jan SEDMIDUBSKÝ and Pavel ZEZULA. Gauging the Evolution of Metric Social Network. In 5th International Workshop on Databases, Information Systems and Peer-to-Peer Computing (DBISP2P 2007) held at 33rd International Conference on Very Large Data Bases (VLDB 2007). Vienna: VLDB Endowment. p. 1-12. ISBN 978-3-540-71660-0. 2007.
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Basic information
Original name Gauging the Evolution of Metric Social Network
Name in Czech Gauging the Evolution of Metric Social Network
Authors BARTOŇ, Stanislav (203 Czech Republic, guarantor), Vlastislav DOHNAL (203 Czech Republic), Jan SEDMIDUBSKÝ (203 Czech Republic) and Pavel ZEZULA (203 Czech Republic).
Edition Vienna, 5th International Workshop on Databases, Information Systems and Peer-to-Peer Computing (DBISP2P 2007) held at 33rd International Conference on Very Large Data Bases (VLDB 2007), p. 1-12, 12 pp. 2007.
Publisher VLDB Endowment
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Austria
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14330/07:00019462
Organization unit Faculty of Informatics
ISBN 978-3-540-71660-0
Keywords in English metric space; social network; clustering coefficient
Tags clustering coefficient, DISA, Metric Space, social network
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Vlastislav Dohnal, Ph.D., učo 2952. Changed: 22/10/2010 16:15.
Abstract
In this paper, we tackle the issues of analyzing the structural evolution of the metric social network. The metric social network operates in a P2P environment where peers maintain their own data and the relationships among them are formed on the basis of the processed similarity queries. The evolution is analyzed by traditional social networking tools - the characteristic path length and the clustering coefficient. Nonetheless, due to the special structure of the metric social network, own designed gauges - the average overlap and robustness of description coefficients - are presented to analyze the structure of emerging communities encompassing similar data.
Abstract (in Czech)
In this paper, we tackle the issues of analyzing the structural evolution of the metric social network. The metric social network operates in a P2P environment where peers maintain their own data and the relationships among them are formed on the basis of the processed similarity queries. The evolution is analyzed by traditional social networking tools - the characteristic path length and the clustering coefficient. Nonetheless, due to the special structure of the metric social network, own designed gauges - the average overlap and robustness of description coefficients - are presented to analyze the structure of emerging communities encompassing similar data.
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MSM 143300004, plan (intention)Name: Digitální knihovny
Investor: Ministry of Education, Youth and Sports of the CR, Digital libraries
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
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