Network intelligence meets user centered social media networks. (2018)
- Record Type:
- Book
- Title:
- Network intelligence meets user centered social media networks. (2018)
- Main Title:
- Network intelligence meets user centered social media networks
- Further Information:
- Note: Reda Alhajj, H. Ulrich Hoppe, Tobias Hecking, Piotr Bródke, Przemyslaw Kazienko, editors.
- Editors:
- Alhajj, Reda
Hoppe, Ulrich, 1954 September 15
Hecking, Tobias
Bródka, Piotr
Kazienko, Przemysław - Contents:
- Intro; Contents; Part I Centrality and Influence; Targeting Influential Nodes for Recovery in Bootstrap Percolation on Hyperbolic Networks; 1 Introduction; 2 Background; 2.1 Bootstrap Percolation; 2.2 Hyperbolic Random Geometric Graphs; 3 Conceptual Framework for Bootstrap Percolation with Recovery; 3.1 Proposed Method of Bootstrap Percolation with Recovery; 4 Experimental Set-up; 4.1 Graph Creation; 4.2 Simulation of Bootstrap Percolation on the Set of Hyperbolic Graphs; 4.3 Bootstrap Percolation with Recovery; Random Recovery; Targeted Recovery Based on Node Degree Ranking; 5 Results 5.1 Bootstrap Percolation5.2 Bootstrap Percolation with Recovery; Bootstrap Percolation with Random Recovery; Bootstrap Percolation with Targeted Recovery; 6 Conclusion; References; Process-Driven Betweenness Centrality Measures; 1 Introduction; 2 Definitions; 3 Related Work; 4 Data Sets; 5 Assumptions of Betweenness Centrality; 6 Process-Driven Betweenness Centrality Measures; 7 Results; 8 Summary and Future Work; References; Behavior-Based Relevance Estimation for Social Networks Interaction Relations; 1 Introduction; 2 Related Work; 3 Approach; 3.1 The Model; 3.2 Classification 4 Experiments5 Conclusion; References; Part II Knowledge and Information Diffusion; Network Patterns of Direct and Indirect Reciprocity in edX MOOC Forums; 1 Introduction; 2 Structure of MOOC Networks; 2.1 Electronic Networks of Practice (ENP); 2.2 Interpreting Network Patterns Through Reciprocity Construct; 2.3Intro; Contents; Part I Centrality and Influence; Targeting Influential Nodes for Recovery in Bootstrap Percolation on Hyperbolic Networks; 1 Introduction; 2 Background; 2.1 Bootstrap Percolation; 2.2 Hyperbolic Random Geometric Graphs; 3 Conceptual Framework for Bootstrap Percolation with Recovery; 3.1 Proposed Method of Bootstrap Percolation with Recovery; 4 Experimental Set-up; 4.1 Graph Creation; 4.2 Simulation of Bootstrap Percolation on the Set of Hyperbolic Graphs; 4.3 Bootstrap Percolation with Recovery; Random Recovery; Targeted Recovery Based on Node Degree Ranking; 5 Results 5.1 Bootstrap Percolation5.2 Bootstrap Percolation with Recovery; Bootstrap Percolation with Random Recovery; Bootstrap Percolation with Targeted Recovery; 6 Conclusion; References; Process-Driven Betweenness Centrality Measures; 1 Introduction; 2 Definitions; 3 Related Work; 4 Data Sets; 5 Assumptions of Betweenness Centrality; 6 Process-Driven Betweenness Centrality Measures; 7 Results; 8 Summary and Future Work; References; Behavior-Based Relevance Estimation for Social Networks Interaction Relations; 1 Introduction; 2 Related Work; 3 Approach; 3.1 The Model; 3.2 Classification 4 Experiments5 Conclusion; References; Part II Knowledge and Information Diffusion; Network Patterns of Direct and Indirect Reciprocity in edX MOOC Forums; 1 Introduction; 2 Structure of MOOC Networks; 2.1 Electronic Networks of Practice (ENP); 2.2 Interpreting Network Patterns Through Reciprocity Construct; 2.3 Network Patterns of Reciprocity in ENP and MOOCs; 2.4 Research Questions; 3 Methods; 3.1 Network Construction; Defining the Edges; Defining the Nodes; Temporal Boundaries; 3.2 Exponential Random Graph Modelling; 3.3 Modelled Configurations and Effects; Structural Configurations Node AttributesGoodness of Fit; 4 Results; 5 Discussion; 6 Conclusions; References; Extracting the Main Path of Historic Events from Wikipedia; 1 Introduction; 2 Main Path Analysis; 2.1 Preliminaries; 2.2 Main Path Computation; 3 Extracting the Main Path of Historic Events; 3.1 A Graph of Historic Events in Wikipedia; 3.2 Implementation of the Parser Component; 3.3 Implementation of the Visualization Component; 4 Results; 5 Conclusion; References; Identifying Accelerators of Information Diffusion Across Social Media Channels; 1 Introduction; 2 Background and Related Work 3 Data Collection and Preprocessing3.1 Network and Subgraph Extraction; 3.2 Data Cleaning; 4 Time-Respecting Influence Measure; 4.1 Acceleration Coefficient; 4.2 Main Path Analysis Incorporating Time; 5 Analysis of Case Studies; 5.1 Identification of Accelerators; 5.2 Main Path Analysis of Information Diffusion; 6 Discussion and Conclusion; References; Part III Algorithms and Applications I; Community Aliveness: Discovering Interaction Decay Patterns in Online Social Communities; 1 Introduction; 2 Related Work; 3 Preliminary Definitions; 3.1 Networks and Measures; 3.2 Binary Classification … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 004.6
Social sciences
Computer networks -- Mathematical models
Computer bootstrapping
Online social networks
Data mining
Internet marketing
COMPUTERS / Computer Literacy
COMPUTERS / Computer Science
COMPUTERS / Data Processing
COMPUTERS / Hardware / General
COMPUTERS / Information Technology
COMPUTERS / Machine Theory
COMPUTERS / Reference
Computer bootstrapping
Computer networks -- Mathematical models
Online social networks
Science -- System Theory
Computers -- Database Management -- Data Mining
Business & Economics -- E-Commerce -- Online Trading
Mathematics -- Graphic Methods
Mathematical physics
Data mining
Sales & marketing
Combinatorics & graph theory
Social Science -- General
Society & social sciences
Electronic books - Languages:
- English
- ISBNs:
- 9783319903125
3319903128 - Related ISBNs:
- 9783319903118
331990311X - Notes:
- Note: Online resource; title from PDF title page (Ebsco, viewed August 7, 2018).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.367651
- Ingest File:
- 02_346.xml