| Description |
1 online resource (249 p.) |
| Contents |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Overview of Social Network Analysis and Different Graph File Formats -- 1.1 Introduction-Social Network Analysis -- 1.2 Important Tools for the Collection and Analysis of Online Network Data -- 1.3 More on the Python Libraries and Associated Packages -- 1.4 Execution of SNA in Terms of Real-Time Application: Implementation in Python -- 1.5 Clarity Toward the Indices Employed in the Social Network Analysis -- 1.5.1 Centrality -- 1.5.2 Transitivity and Reciprocity -- 1.5.3 Balance and Status |
|
1.6 Conclusion -- References -- 2 Introduction To Python for Social Network Analysis -- 2.1 Introduction -- 2.2 SNA and Graph Representation -- 2.2.1 The Common Representation of Graphs -- 2.2.2 Important Terms to Remember in Graph Representation -- 2.3 Tools To Analyze Network -- 2.3.1 MS Excel -- 2.3.2 UCINET -- 2.4 Importance of Analysis -- 2.5 Scope of Python in SNA -- 2.5.1 Comparison of Python With Traditional Tools -- 2.6 Installation -- 2.6.1 Good Practices -- 2.7 Use Case -- 2.7.1 Facebook Case Study -- 2.8 Real-Time Product From SNA -- 2.8.1 Nevaal Maps -- References |
|
3 Handling Real-World Network Data Sets -- 3.1 Introduction -- 3.2 Aspects of the Network -- 3.3 Graph -- 3.3.1 Node, Edges, and Neighbors -- 3.3.2 Small-World Phenomenon -- 3.4 Scale-Free Network -- 3.5 Network Data Sets -- 3.6 Conclusion -- References -- 4 Cascading Behavior in Networks -- 4.1 Introduction -- 4.1.1 Types of Data Generated in OSNs -- 4.1.2 Unstructured Data -- 4.1.3 Tools for Structuring the Data -- 4.2 User Behavior -- 4.2.1 Profiling -- 4.2.2 Pattern of User Behavior -- 4.2.3 Geo-Tagging -- 4.3 Cascaded Behavior -- 4.3.1 Cross Network Behavior -- 4.3.2 Pattern Analysis |
|
4.3.3 Models for Cascading Pattern -- References -- 5 Social Network Structure and Data Analysis in Healthcare -- 5.1 Introduction -- 5.2 Prognostic Analytics-Healthcare -- 5.3 Role of Social Media for Healthcare Applications -- 5.4 Social Media in Advanced Healthcare Support -- 5.5 Social Media Analytics -- 5.5.1 Phases Involved in Social Media Analytics -- 5.5.2 Metrics of Social Media Analytics -- 5.5.3 Evolution of NIHR -- 5.6 Conventional Strategies in Data Mining Techniques -- 5.6.1 Graph Theoretic -- 5.6.2 Opinion Evaluation in Social Network -- 5.6.3 Sentimental Analysis |
|
5.7 Research Gaps in the Current Scenario -- 5.8 Conclusion and Challenges -- References -- 6 Pragmatic Analysis of Social Web Components on Semantic Web Mining -- 6.1 Introduction -- 6.2 Background -- 6.2.1 Web -- 6.2.2 Agriculture Information Systems -- 6.2.3 Ontology in Web or Mobile Web -- 6.3 Proposed Model -- 6.3.1 Developing Domain Ontology -- 6.3.2 Building the Agriculture Ontology with OWL-DL -- 6.3.2.1 Building Class Axioms -- 6.3.3 Building Object Property Between the Classes in OWL-DL -- 6.3.3.1 Building Object Property Restriction in OWL-DL -- 6.3.4 Developing Social Ontology |
| Notes |
Description based upon print version of record |
|
6.3.4.1 Building Class Axioms |
| Form |
Electronic book
|
| Author |
Atroshi, Chiai Al
|
|
Balabantaray, Buni
|
|
Mohanty, Sachi Nandan
|
| ISBN |
9781119836742 |
|
1119836743 |
|
