Detailed Information on Publication Record
2007
Gauging the Evolution of Metric Social Network
BARTOŇ, Stanislav, Vlastislav DOHNAL, Jan SEDMIDUBSKÝ and Pavel ZEZULABasic 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
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Austria
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
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
International impact, Reviewed
Změněno: 22/10/2010 16:15, doc. RNDr. Vlastislav Dohnal, Ph.D.
V originále
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.
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.
Links
| MSM 143300004, plan (intention) |
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| 1ET100300419, research and development project |
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