2007
Gauging the Evolution of Metric Social Network
BARTOŇ, Stanislav, Vlastislav DOHNAL, Jan SEDMIDUBSKÝ a Pavel ZEZULAZákladní údaje
Originální název
Gauging the Evolution of Metric Social Network
Název česky
Gauging the Evolution of Metric Social Network
Autoři
BARTOŇ, Stanislav (203 Česká republika, garant), Vlastislav DOHNAL (203 Česká republika), Jan SEDMIDUBSKÝ (203 Česká republika) a Pavel ZEZULA (203 Česká republika)
Vydání
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), od s. 1-12, 12 s. 2007
Nakladatel
VLDB Endowment
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Rakousko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Kód RIV
RIV/00216224:14330/07:00019462
Organizační jednotka
Fakulta informatiky
ISBN
978-3-540-71660-0
Klíčová slova anglicky
metric space; social network; clustering coefficient
Štítky
Příznaky
Mezinárodní význam, Recenzováno
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.
Česky
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.
Návaznosti
| MSM 143300004, záměr |
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| 1ET100300419, projekt VaV |
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