Complex Networks - Japan Search model RDF

(There is only one resource "Complex Networks (図書)" with description graph. Other 7 resources are in nested tables, or just refer to the source resource and have no own description)

Complex Networks

description of https://ld.webcatplus.jp/data/22776985
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rdfs:label"Complex Networks"
schema:name"Complex Networks" @en
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schema:creator 3<https://jpsearch.go.jp/entity/ncname/Ben-Naim,_Eli> ( "Ben-Naim, Eli")
schema:creator<https://jpsearch.go.jp/entity/ncname/Frauenfelder,_Hans> ( "Frauenfelder, Hans")
schema:creator<https://jpsearch.go.jp/entity/ncname/Toroczkai,_Zoltan> ( "Toroczkai, Zoltan")
schema:datePublished"2010"
schema:description 4"資料種別: Paperback / softback"
schema:description"責任表示: Edited by Ben-Naim, Eli; Edited by Frauenfelder, Hans; Edited by Toroczkai, Zoltan"
schema:description"備考: This volume is devoted to the applications of techniques from statistical physics to the characterization and modeling of complex networks. The first two parts of the book concern theory and modeling of networks, the last two parts survey applications to a wide variety of natural and artificial networks. The tutorial reviews that form this book are aimed at students and newcomers to the field, and will also constitute a modern and comprehensive reference for experts. To this aim, all contributions have been carefully peer-reviewed not only for scientific content but also for self-consistency and readability. (Nielsen Book)...(more)"
schema:description"分類: BIC:PBV; BIC:PHVN"
schema:edition"Softcover reprint of hardcover 1st ed. 2004"
schema:encodingFormat<https://ld.webcatplus.jp/ext/code/onix#BC>
schema:inLanguage<http://id.loc.gov/vocabulary/iso639-2/eng> ( "英語")
schema:isbn"9783642061103"
schema:numberOfPages"537p"
schema:publisher<https://ld.webcatplus.jp/entity/P1533456>
schema:size"H297 x W210"
schema:spatial<https://jpsearch.go.jp/entity/place/ドイツ>
schema:temporal<https://jpsearch.go.jp/entity/time/2010> ( "2010年")
schema:tocEntry"Network Structure.- Network Dynamics.- Information Networks and Social Networks. Biological Networks."
36 triples ()
36 triples