05723nam 22005053 450 99659416660331620240503084511.03-031-59205-0(CKB)31801763500041(MiAaPQ)EBC31310591(Au-PeEL)EBL31310591(MiAaPQ)EBC31319746(Au-PeEL)EBL31319746(EXLCZ)993180176350004120240503d2024 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierModelling and Mining Networks 19th International Workshop, WAW 2024, Warsaw, Poland, June 3-6, 2024, Proceedings1st ed.Cham :Springer International Publishing AG,2024.©2024.1 online resource (194 pages)Lecture Notes in Computer Science Series ;v.146713-031-59204-2 Intro -- Preface -- Organization -- Contents -- Subgraph Counts in Random Clustering Graphs -- 1 Introduction -- 2 Preliminaries -- 2.1 Volumes -- 2.2 The Chung-Lu Model -- 2.3 Random Clustering Graphs -- 3 Extension Configurations -- 4 Subgraph Counts -- 5 Clustering Coefficient and Cycle Counts -- References -- Self-similarity of Communities of the ABCD Model -- 1 Introduction -- 2 The ABCD Model -- 2.1 Notation -- 2.2 The Configuration Model -- 2.3 Parameters of the ABCD Model -- 2.4 The ABCD Construction -- 2.5 A Known Result for ABCD -- 3 Main Result -- 4 Simulation Corner -- 4.1 The Coupling -- 4.2 Volumes of Communities -- 4.3 Self-loops and Multi-edges -- 5 Conclusion -- References -- A Simple Model of Influence: Details and Variants of Dynamics -- 1 Introduction -- 2 The Influencer Problem on the Cycle Cn -- 2.1 Results for the Cycle Cn -- 2.2 Analysis for the Cycle Cn -- 3 The Influencer Problem for Random Graphs G(n,p) -- 3.1 Results for G(n,p) When p=c/n -- 3.2 Analysis for Random Graphs G(n,p) -- 3.3 Random Edge -- 3.4 Basic Falling-Out Model -- 3.5 General Falling-Out Model -- 3.6 Formalizing the DE for w.h.p. Results -- 4 Conclusions and Further Work -- References -- Impact of Market Design and Trading Network Structure on Market Efficiency -- 1 Research Objective and Paper Structure -- 2 Definition of Research Problem and Its Motivation -- 3 Market Designs on Complete and Sparse Bipartite Graphs -- 3.1 Chamberlin's Higgling Market Vs Perfect Competition Model -- 3.2 Greedy Matching of Traders on Network -- 4 Simulation Results -- 4.1 Market Efficiency Drivers -- 4.2 Trade Participation Drivers -- 5 Conclusions and Further Research -- References -- Network Embedding Exploration Tool (NEExT) -- 1 Introduction -- 2 The Framework -- 2.1 Pre-processing -- 2.2 Vectorizing the Nodes -- 2.3 Embedding of the Graphs -- 3 Experiments.3.1 Synthetic Graphs -- 3.2 Real-World Networks -- 4 Conclusion -- References -- Efficient Computation of K-Edge Connected Components: An Empirical Analysis -- 1 Introduction -- 2 Definitions -- 3 Related Work -- 4 Algorithms -- 4.1 Graph Decomposition Algorithm -- 4.2 Random Contraction Algorithm -- 4.3 Early Merging and Splitting -- 4.4 Local Cut Detection -- 5 Experiments -- 5.1 Small Graphs -- 5.2 Medium and Large Graphs -- 5.3 Evaluation of Optimization Techniques for RC -- 6 Discussion -- References -- The Directed Age-Dependent Random Connection Model with Arc Reciprocity -- 1 Motivation and Background -- 2 Model Introduction -- 2.1 The Directed Age-Dependent Random Connection Model -- 2.2 A Generative Model on Finite Domains and a Local Limit Procedure -- 3 Local Properties -- 3.1 Degree Distribution -- 3.2 Clustering -- 4 Directed Percolation -- References -- How to Cool a Graph -- 1 Introduction -- 2 Bounds on the Cooling Number -- 3 Isoperimetric Results and Grids -- 4 Cooling the ILT Model -- 5 Conclusion and Further Directions -- References -- Distributed Averaging for Accuracy Prediction in Networked Systems -- 1 Introduction -- 2 Background -- 2.1 Network Topology -- 2.2 Distributed Average -- 2.3 Gossip Algorithms -- 2.4 Convergence Rate and Accuracy -- 3 Proposed Approach -- 3.1 Problem Setup -- 3.2 Simulations -- 3.3 Local Graph Averages -- 3.4 Regression Models -- 3.5 Distributed Accuracy Prediction -- 4 Applications -- 4.1 Topology Changes -- 4.2 Anomaly Detection -- 5 Conclusion -- References -- Towards Graph Clustering for Distributed Computing Environments -- 1 Introduction -- 2 Model -- 3 Heuristic -- 4 Experiments -- 4.1 Performance on the Karate Graph -- 4.2 Performance on the ABCD Graph -- 4.3 Performance on a Road Network -- 5 Conclusions -- References.HypergraphRepository: A Community-Driven and Interactive Hypernetwork Data Collection -- 1 Introduction -- 2 Related Work -- 3 HypergraphRepository -- 3.1 Hypergraph Representations in HypergraphRepository -- 3.2 A Community-Driven Hypergraph Collection -- 3.3 An Interactive Hypergraph Repository -- 4 Conclusion -- References -- Clique Counts for Network Similarity -- 1 Introduction -- 2 Clique Profiles -- 3 Experimental Design and Methods -- 4 Discussion and Future Work -- References -- Author Index.Lecture Notes in Computer Science SeriesDewar Megan1737394Kamiński Bogumił1737395Kaszyński Daniel1737396Kraiński Łukasz1737397Prałat Paweł1737398Théberge François1737399Wrzosek Małgorzata1737400MiAaPQMiAaPQMiAaPQBOOK996594166603316Modelling and Mining Networks4159137UNISA04392nam 22007215 450 991016413070332120250711165036.010.1007/978-94-007-7104-8(PPN)286097702(CKB)3710000001053513(DE-He213)978-94-007-7104-8(MiAaPQ)EBC4803563(EXLCZ)99371000000105351320170210d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierA Primer on Nonmarket Valuation /edited by Patricia A. Champ, Kevin J. Boyle, Thomas C. Brown2nd ed. 2017.Dordrecht :Springer Netherlands :Imprint: Springer,2017.1 online resource (IX, 504 p. 20 illus.)The Economics of Non-Market Goods and Resources,1571-487X ;1394-007-7103-7 94-007-7104-5 Includes bibliographical references at the end of each chapters and index.Chapter 1. Valuing Environmental Goods and Services: An Economic Perspective -- Chapter 2. Conceptual Framework for Nonmarket Valuation -- Chapter 3. Collecting Nonmarket Valuation Data -- Chapter 4. Contingent Valuation in Practice -- Chapter 5. Choice Experiments -- Chapter 6. Travel cost Models -- Chapter 7. Hedonics -- Chapter 8. Averting Behavior Methods -- Chapter 9. Substitution Methods -- Chapter 10. Experimental Methods in Valuation -- Chapter 11. Benefit Transfer -- Chapter 12. Reliability and Validity in Nonmarket Valuation.This is a practical book with clear descriptions of the most commonly used nonmarket methods. The first chapters of the book provide the context and theoretical foundation of nonmarket valuation along with a discussion of data collection procedures. The middle chapters describe the major stated- and revealed-preference valuation methods. For each method, the steps involved in implementation are laid out and carefully explained with supporting references from the published literature. The final chapters of the book examine the relevance of experimentation to economic valuation, the transfer of existing nonmarket values to new settings, and assessments of the reliability and validity of nonmarket values. This book is relevant to individuals in many professions at all career levels. Professionals in government agencies, attorneys involved with natural resource damage assessments, graduate students, and others will appreciate the thorough descriptions of how to design, implement, and analyze a nonmarket valuation study. .The Economics of Non-Market Goods and Resources,1571-487X ;13Environmental economicsMedical economicsNatural resourcesEnergy policyEnergy policyEnvironmental managementEnvironmental Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W48000Health Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W35000Natural Resourceshttps://scigraph.springernature.com/ontologies/product-market-codes/U39000Energy Policy, Economics and Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/112000Environmental Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/U17009Environmental economics.Medical economics.Natural resources.Energy policy.Energy policy.Environmental management.Environmental Economics.Health Economics.Natural Resources.Energy Policy, Economics and Management.Environmental Management.333.01Champ Patricia Aedthttp://id.loc.gov/vocabulary/relators/edtBoyle Kevin Jedthttp://id.loc.gov/vocabulary/relators/edtBrown Thomas Cedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910164130703321Primer on nonmarket valuation1470765UNINA