000 04456nam a22005415i 4500
001 978-3-319-72150-7
003 DE-He213
005 20201105121450.0
007 cr nn 008mamaa
008 171126s2018 gw | s |||| 0|eng d
020 _a9783319721507
_9978-3-319-72150-7
024 7 _a10.1007/978-3-319-72150-7
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aComplex Networks & Their Applications VI
_h[electronic resource] :
_bProceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications) /
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXV, 1288 p. 424 illus., 358 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v689
505 0 _aPart I: Network measures -- A comparison of approaches to computing betweenness centrality for large graphs -- Cycle-centrality in economic and biological networks -- A game theoretic neighbourhood-based relevance index -- The impact of partially missing communities on the reliability of centrality measures -- Consistent estimation of mixed memberships with successive projections -- Reducing pivots of approximated betweenness computation by hierarchically clustering complex networks -- Power network equivalents: a network science based k-means clustering method integrated with silhouette analysis -- Part II: Link Analysis and Ranking -- Newton’s gravitational law for link prediction in social networks -- Efficient outlier detection in hyperedge streams using minHash and locality-sensitive hashing -- Layer-wise model stacking for link prediction in multilayer networks. Case of scientific collaboration networks -- Evolutionary community mining for link prediction in dynamic networks -- Rank aggregation for course sequence discovery -- Part III: Community Structure -- Community-based feature selection for credit card default prediction -- Tracking bitcoin users activity using community detection on a network of weak signals.
520 _aThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the VI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2017), which took place in Lyon on November 29 – December 1, 2017. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and ecological networks and technological networks.
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 1 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
700 1 _aCherifi, Chantal.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCherifi, Hocine.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKarsai, Márton.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMusolesi, Mirco.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319721491
776 0 8 _iPrinted edition:
_z9783319721514
776 0 8 _iPrinted edition:
_z9783319891491
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v689
856 4 0 _uhttps://doi.org/10.1007/978-3-319-72150-7
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBOOKS
999 _c13421
_d13421