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Complex Networks

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Cover of 'Complex Networks & Their Applications VI'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Comparison of Approaches to Computing Betweenness Centrality for Large Graphs
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    Chapter 2 Cycle-Centrality in Economic and Biological Networks
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    Chapter 3 A Game Theoretic Neighbourhood-Based Relevance Index
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    Chapter 4 The Impact of Partially Missing Communities on the Reliability of Centrality Measures
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    Chapter 5 Consistent Estimation of Mixed Memberships with Successive Projections
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    Chapter 6 Reducing Pivots of Approximated Betweenness Computation by Hierarchically Clustering Complex Networks
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    Chapter 7 Power Network Equivalents: A Network Science Based K-Means Clustering Method Integrated with Silhouette Analysis
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    Chapter 8 Newton’s Gravitational Law for Link Prediction in Social Networks
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    Chapter 9 Efficient Outlier Detection in Hyperedge Streams Using MinHash and Locality-Sensitive Hashing
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    Chapter 10 Layer-Wise Model Stacking for Link Prediction in Multilayer Networks. Case of Scientific Collaboration Networks
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    Chapter 11 Evolutionary Community Mining for Link Prediction in Dynamic Networks
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    Chapter 12 Rank Aggregation for Course Sequence Discovery
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    Chapter 13 Community-Based Feature Selection for Credit Card Default Prediction
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    Chapter 14 Tracking Bitcoin Users Activity Using Community Detection on a Network of Weak Signals
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    Chapter 15 Vertex Deduplication Based on String Similarity and Community Membership
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    Chapter 16 Motif-Based Community Detection in Multiplex Networks
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    Chapter 17 Influence Spreading Model Used to Community Detection in Social Networks
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    Chapter 18 Behind the Communities, a Focus on the Sparse Part of a Network
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    Chapter 19 Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm
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    Chapter 20 ANCA : Attributed Network Clustering Algorithm
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    Chapter 21 A Community-Driven Graph Partitioning Method for Constraint-Based Causal Discovery
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    Chapter 22 Clustering-Structure Representative Sampling from Graph Streams
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    Chapter 23 ComSim: A Bipartite Community Detection Algorithm Using Cycle and Node’s Similarity
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    Chapter 24 Parallel Community Detection Methods for Sparse Complex Networks
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    Chapter 25 Information Diffusion in Complex Networks: The Active/Passive Conundrum
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    Chapter 26 An Opportunistic Network Approach Towards Disease Spreading
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    Chapter 27 Identifying Top-K Important Nodes Based on Probabilistic-Jumping Random Walk in Complex Networks
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    Chapter 28 Efficient Incremental Laplace Centrality Algorithm for Dynamic Networks
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    Chapter 29 Modeling Peer Influence in Time-Varying Networks
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    Chapter 30 Toward a Better Understanding of Emotional Dynamics on Facebook
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    Chapter 31 Ranking in Dynamic Graphs Using Exponential Centrality
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    Chapter 32 A Nonlinear Dynamical Approach to the Interpretation of Microblogging Network Complexity
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    Chapter 33 Capturing the Dynamics of Hashtag-Communities
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    Chapter 34 A Semantic Continuity Based Analysis of Topic Lifecycle on Social Networks
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    Chapter 35 Seed Selection for Information Cascade in Multilayer Networks
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    Chapter 36 Network Signatures of Success: Emulating Expert and Crowd Assessment in Science, Art, and Technology
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    Chapter 37 Detection of Four-Node Motif in Complex Networks
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    Chapter 38 Assortative Mixture of English Parts of Speech
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    Chapter 39 Contextual Subgraph Discovery with Mobility Models
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    Chapter 40 Temporal Communication Motifs in Mobile Cohesive Groups
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    Chapter 41 Detecting Motifs in Multiplex Corporate Networks
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    Chapter 42 On Mining Temporal Patterns in Dynamic Graphs, and Other Unrelated Problems
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    Chapter 43 A Generative Model for Sparse, Evolving Digraphs
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    Chapter 44 Studying the Structure of Some Networks Using Certain Topological Indices
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    Chapter 45 Spin Model of Two Random Walkers in Complex Networks
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    Chapter 46 A Logical Constraint–based Approach to Infer and Explore Diversity and Composition in Thresholded Boolean Automaton Networks
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    Chapter 47 Visualization of Multichannel EEG Coherence Networks Based on Community Structure Analysis
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    Chapter 48 On Multitree-Like Graph Layering
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    Chapter 49 Lean Structural Network Resilience
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    Chapter 50 Identification of Critical Habitat Corridor Patches by Cut Node Ranking
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    Chapter 51 On SDN Controller Placement to Achieve Robustness Against Targeted Attacks
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    Chapter 52 Improving the Chilean Internet Robustness: Increase the Interdependencies or Change the Shape of the Country?
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    Chapter 53 Action-Based Model for Topologically Resilient Supply Networks
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    Chapter 54 Nucleation of Social Groups: The Role of Centrality Inequality and Social Mobility
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    Chapter 55 Epidemiological Study of Browser-Based Malware for University Network with Partially Observed Flow Data
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    Chapter 56 Attacking Unexplored Networks - The Probe-and-Attack Problem
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    Chapter 57 Social Learning Against Data Falsification in Sensor Networks
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    Chapter 58 Locality-Based Graph Clustering of Spatially Embedded Time Series
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    Chapter 59 Soft Textual Cartography Based on Topic Modeling and Clustering of Irregular, Multivariate Marked Networks
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    Chapter 60 Consistency and Trends of Technological Innovations: A Network Approach to the International Patent Classification Data
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    Chapter 61 Concept Networks in Learning and the Epistemic Support of Their Key Concepts
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    Chapter 62 Network Analysis of Migration Patterns in the United States
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    Chapter 63 An Adaptive Computational Network Model for Multi-Emotional Social Interaction
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    Chapter 64 On the Gender of Books: Author Gender Mixing in Book Communities
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    Chapter 65 Criticality as Key-Concept to Understand Social Norms’ Dynamics in Networks
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    Chapter 66 Promotion of Robust Cooperation Among Agents in Complex Networks by Enhanced Expectation-of-Cooperation Strategy
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    Chapter 67 Representing Emoji Usage Using Directed Networks: A Twitter Case Study
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    Chapter 68 Assessing the Effects of Social Familiarity and Stance Similarity in Interaction Dynamics
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    Chapter 69 On the Social Influence in Human Behavior: Physical, Homophily, and Social Communities
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    Chapter 70 Replicator Equation and the Evolution of Cooperation on Regular Communities
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    Chapter 71 Modeling the Co-evolution of Committee Formation and Awareness Networks in Organizations
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    Chapter 72 The Topological Face of Recommendation
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    Chapter 73 Information Dissemination in Scale-Free Networks: Profusion Versus Scarcity
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    Chapter 74 Is This Movie a Milestone? Identification of the Most Influential Movies in the History of Cinema
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    Chapter 75 Navigated Random Walks on Amazon Book Recommendation Network
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    Chapter 76 Identifying Spreading Sources and Influential Nodes of Hot Events on Social Networks
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    Chapter 77 Methods for Influence Maximization in Dynamic Networks
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    Chapter 78 Exploring the Twitterland of the Impact Investing Market
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    Chapter 79 Introducing Credibility to Model News Spreading
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    Chapter 80 Competences Network Based on Interaction Data for Recommendation and Evaluation Aims
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    Chapter 81 Relational Patterns in Cross-Media Information Diffusion Networks
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    Chapter 82 Modeling Peer and External Influence in Online Social Networks: Case of 2013 Referendum in Croatia
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    Chapter 83 Power in Network Structures Based on Simulations
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    Chapter 84 Modeling Stock Survivability Resilience in Signed Temporal Networks: A Study from London Stock Exchange
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    Chapter 85 On the Performance of Network Science Metrics as Long-Term Investment Strategies in Stock Markets
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    Chapter 86 The Evolution of Japanese Business Networks in ASEAN Countries Since the 1960s
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    Chapter 87 Analyses on the Authority Migration and Geographical Context in Progeny Networks
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    Chapter 88 Revealing Persistent Structure of International Trade by Nonnegative Matrix Factorization
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    Chapter 89 Shock Propagation Through Customer-Supplier Relationships: An Application of the Stochastic Actor-Oriented Model
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    Chapter 90 Multiplex Dynamics on the World Trade Web
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    Chapter 91 Evolution of the Global Risk Network Mean-Field Stability Point
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    Chapter 92 Multiplex Financial Networks: Revealing the Level of Interconnectedness in the Banking System
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    Chapter 93 Mapping Organizations’ Goals and Leanings in the Lobbyist Network in Banking and Finance
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    Chapter 94 Real Implications of Quantitative Easing in the Euro Area: A Complex-Network Perspective
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    Chapter 95 United Nations General Assembly Vote Similarity Networks
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    Chapter 96 Graph Theoretical Approach to Bow-Tie Interbank Networks Reconstruction
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    Chapter 97 Water Distribution Network Clustering: Graph Partitioning or Spectral Algorithms?
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    Chapter 98 Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning
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    Chapter 99 Generating Realistic Road Usage Information and Origin-Destination Data for Traffic Simulations: Augmenting Agent-Based Models with Network Techniques
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    Chapter 100 $$\delta $$ -MAPS: From fMRI Data to Functional Brain Networks
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    Chapter 101 Network Based fMRI Neuro-Feedback for Emotion Regulation; Proof-of-Concept
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    Chapter 102 Simultaneous Matrix Diagonalization for Structural Brain Networks Classification
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    Chapter 103 Dynamic Generative Model of the Human Brain in Resting-State
Overall attention for this book and its chapters
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Mentioned by

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43 X users
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1 Wikipedia page
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2 Redditors

Citations

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Readers on

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84 Mendeley
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Title
Complex Networks & Their Applications VI
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-72150-7
ISBNs
978-3-31-972149-1, 978-3-31-972150-7
Editors

Chantal Cherifi, Hocine Cherifi, Márton Karsai, Mirco Musolesi

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 30%
Researcher 16 19%
Student > Master 9 11%
Student > Doctoral Student 6 7%
Professor > Associate Professor 6 7%
Other 17 20%
Unknown 5 6%
Readers by discipline Count As %
Computer Science 29 35%
Engineering 14 17%
Agricultural and Biological Sciences 5 6%
Social Sciences 5 6%
Arts and Humanities 4 5%
Other 17 20%
Unknown 10 12%