عنوان

Network intelligence meets user centered social media networks /

(Number (ISBN

3319903128

(Number (ISBN

9783319903125

Erroneous ISBN

331990311X

Erroneous ISBN

9783319903118

Title Proper

Network intelligence meets user centered social media networks /

General Material Designation

[Book]

First Statement of Responsibility

Reda Alhajj, H. Ulrich Hoppe, Tobias Hecking, Piotr Bródke, Przemyslaw Kazienko, editors.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2018.

Specific Material Designation and Extent of Item

1 online resource

Series Title

Lecture notes in social networks

Text of Note

Includes index.

Text of Note

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

Text of Note

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

Text of Note

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

Text of Note

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

Text of Note

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

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Text of Note

This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.--

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783319903125

Title

Network intelligence meets user centered social media networks.

International Standard Book Number

9783319903118

Computer bootstrapping.

Computer networks-- Mathematical models.

Online social networks.

Combinatorics & graph theory.

Computer bootstrapping.

Computer networks-- Mathematical models.

COMPUTERS-- Computer Literacy.

COMPUTERS-- Computer Science.

COMPUTERS-- Data Processing.

COMPUTERS-- Hardware-- General.

COMPUTERS-- Information Technology.

COMPUTERS-- Machine Theory.

COMPUTERS-- Reference.

Data mining.

Mathematical physics.

Online social networks.

Sales & marketing.

Social sciences-- Computer programs.

Social sciences-- Data processing.

Society & social sciences.

COM-- 013000

COM-- 014000

COM-- 018000

COM-- 032000

COM-- 037000

COM-- 052000

COM-- 067000

J

UXJ

Number

Edition

Class number

Alhajj, Reda

Bródka, Piotr

Hecking, Tobias

Hoppe, Ulrich,1954 September 15-

Kazienko, Przemyslaw

Date of Transaction

20200823115451.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y