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Social Network Analysis

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Social Network Analysis

Anomaly Detection
C4.5 Algorithm
Cascading Behavior
Category=TJ
Centrality

Class Axioms
Classification
Computer Network
Data Mining
Document Frequency
Domain Ontology
Electronic Health Records (EHR)
eq_bestseller
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_tech-engineering
Forecasting
Graph
Graph Hypothesis
Graph Theory
Health Care Organization
K-Means
Microblogging
Natural Language Processing
Naïve Bayes
Network Datasets
Network Intrusion Detection Systems
Network Model
Networks
Nevaal
Node
Online Social Networks
Profiling
Property Axiom
Python
Real-World Network Datasets
Scale Free Network
Sentiment Analysis
Small World Phenomenon
Social Media
Social Network Application in Health Care
Social Ontology
Term Frequency
Text Classification
Time Series
Unstructured Data
Viewpoint Dynamics
  Network-X
 Friend of a Friend
 Pattern Of Activities

Product details

  • ISBN 9781119836230
  • Weight: 454g
  • Dimensions: 10 x 10mm
  • Publication Date: 24 May 2022
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description
SOCIAL NETWORK ANALYSIS

As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose.

Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion.

The book features:

  • Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network.
  • An understanding of network analysis and motivations to model phenomena as networks. 
  • Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted.
  • Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption.
  • Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems.
  • The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research.
  • The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers.

Audience

The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.
About

Mohammad Gouse Galety, PhD, is an assistant professor in the Information Technology Department, Catholic University in Erbil, Erbil, Iraq.

Chiai Al-Atroshi is a lecturer in the Educational Counseling and Psychology Department, University of Duhok, Duhok, Iraq.

Bunil Kumar Balabantaray, PhD, is an assistant professor in the Department of Computer Science and Engineering, National Institute of Technology Meghalaya, India.

Sachi Nandan Mohanty, PhD, is an associate professor in the Department of Computer Science & Engineering at Vardhaman College of Engineering (Autonomous), Hyderabad, India.