Social Network Analysis (ePub)
Theory and Applications
(Sprache: Englisch)
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...
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...
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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.
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.
Autoren-Porträt
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.
Bibliographische Angaben
- 2022, 1. Auflage, 256 Seiten, Englisch
- Herausgegeben: Mohammad Gouse Galety, Chiai Al Atroshi, Buni Balabantaray, Sachi Nandan Mohanty
- Verlag: John Wiley & Sons
- ISBN-10: 1119836735
- ISBN-13: 9781119836735
- Erscheinungsdatum: 28.04.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 10 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
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