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  • Since the availability of social networks data and the range of these data have significantly grown in recent years, new aspects have to be considered. In this paper we address computational complexity of social networks analysis and clarity of their visualization. Our approach uses combination of Formal Concept Analysis and well-known matrix factorization methods. The goal is to reduce the dimension of social network data and to measure the amount of information which is lost during the reduction.
  • Since the availability of social networks data and the range of these data have significantly grown in recent years, new aspects have to be considered. In this paper we address computational complexity of social networks analysis and clarity of their visualization. Our approach uses combination of Formal Concept Analysis and well-known matrix factorization methods. The goal is to reduce the dimension of social network data and to measure the amount of information which is lost during the reduction. (en)
Title
  • Reducing Social Network Dimensions Using Matrix Factorization Methods
  • Reducing Social Network Dimensions Using Matrix Factorization Methods (en)
skos:prefLabel
  • Reducing Social Network Dimensions Using Matrix Factorization Methods
  • Reducing Social Network Dimensions Using Matrix Factorization Methods (en)
skos:notation
  • RIV/61989100:27240/09:86075661!RIV11-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 338444
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/09:86075661
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Methods; Factorization; Matrix; Using; Dimensions; Network; Social; Reducing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [74FF9F2E0CB7]
http://linked.open...v/mistoKonaniAkce
  • Řecko
http://linked.open...i/riv/mistoVydani
  • NEW YORK
http://linked.open...i/riv/nazevZdroje
  • INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Horák, Zdeněk
  • Snášel, Václav
  • Vo, Tien Trung
  • Kočíbová, Jana
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000277144100061
http://linked.open.../riv/zahajeniAkce
number of pages
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  • IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
https://schema.org/isbn
  • 978-1-4244-4599-8
http://localhost/t...ganizacniJednotka
  • 27240
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