01521nam 2200457I 450 991070436090332120130916144146.0(CKB)5470000002440075(OCoLC)858284044(EXLCZ)99547000000244007520130916d2012 ua 0engurcn|||||||||rdacontentrdamediardacarrierBusiness and human rights an issue whose time has come /Jill Shankleman, Hannah ClaytonWashington, D.C. :United States Institute of Peace,2012.1 online resource (4 pages)Peacebrief ;129Title from title screen (viewed Sept. 16, 2013)."June 29, 2012."Includes bibliographical references (pages 4-5).Business and human rights Business ethicsHuman rightsSocial responsibility of businessInternational business enterprisesMoral and ethical aspectsBusiness ethics.Human rights.Social responsibility of business.International business enterprisesMoral and ethical aspects.Shankleman Jill557543Clayton HannahUnited States Institute of Peace,GPOGPOBOOK9910704360903321Business and human rights3472697UNINA04060nam 22007575 450 991072510140332120251113175016.09783031322969(electronic bk.)978303132295210.1007/978-3-031-32296-9(MiAaPQ)EBC30545056(Au-PeEL)EBL30545056(OCoLC)1379802738(BIP)090872633(PPN)270612173(CKB)26707052100041(DE-He213)978-3-031-32296-9(EXLCZ)992670705210004120230427d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAlgorithms and Models for the Web Graph 18th International Workshop, WAW 2023, Toronto, ON, Canada, May 23–26, 2023, Proceedings /edited by Megan Dewar, Paweł Prałat, Przemysław Szufel, François Théberge, Małgorzata Wrzosek1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (203 pages)Lecture Notes in Computer Science,1611-3349 ;13894Print version: Dewar, Megan Algorithms and Models for the Web Graph Cham : Springer,c2023 9783031322952 Includes bibliographical references and index.Correcting for Granularity Bias in Modularity-Based Community Detection Methods -- The emergence of a giant component in one-dimensional inhomogeneous networks with long-range effects -- Unsupervised Framework for Evaluating Structural Node Embeddings of Graphs -- Modularity Based Community Detection in Hypergraphs -- Establishing Herd Immunity is Hard Even in Simple Geometric Networks -- Multilayer hypergraph clustering using the aggregate similarity matrix -- The Myth of the Robust-Yet-Fragile Nature of Scale-Free Networks: An Empirical Analysis -- A Random Graph Model for Clustering Graphs -- Topological Analysis of Temporal Hypergraphs -- PageRank Nibble on the sparse directed stochastic block model -- A simple model of influence -- The Iterated Local Transitivity Model for Tournaments.This book constitutes the proceedings of the 18th International Workshop on Algorithms and Models for the Web Graph, WAW 2023, held in Toronto, Canada, in May 23–26, 2023. The 12 Papers presented in this volume were carefully reviewed and selected from 21 submissions. The aim of the workshop was understanding of graphs that arise from the Web and various user activities on the Web, and stimulate the development of high-performance algorithms and applications that exploit these graphs.Lecture Notes in Computer Science,1611-3349 ;13894Computer scienceData structures (Computer science)Information theoryApplication softwareComputer scienceMathematicsDiscrete mathematicsComputer networksTheory of ComputationData Structures and Information TheoryComputer and Information Systems ApplicationsDiscrete Mathematics in Computer ScienceComputer Communication NetworksComputer science.Data structures (Computer science)Information theory.Application software.Computer scienceMathematics.Discrete mathematics.Computer networks.Theory of Computation.Data Structures and Information Theory.Computer and Information Systems Applications.Discrete Mathematics in Computer Science.Computer Communication Networks.005.1Dewar MeganMiAaPQMiAaPQMiAaPQ9910725101403321Algorithms and Models for the Web-Graph772606UNINA