Social Network Analysis - Theory and Applications

This book provides an understanding of network analysis and motivates modeling phenomena as networks, with an emphasis on computational perspectives using Python. It illustrates real-world networks with human-related data and demonstrates how information cascades through social networks to achieve widespread adoption. It also offers an appreciation method for health systems and services to analyze networks. The social web has become a significant data source for social science and humanities research, and artificial intelligence enables social media platforms to meet an increasing number of users and yield the biggest marketplace.

Format: Hardback
Length: 256 pages
Publication date: 24 May 2022
Publisher: John Wiley & Sons Inc

Social network analysis is an essential field that has gained increasing importance as social media dominates our lives. This book serves as a valuable resource for developers seeking to understand the theory and applications of social networks.

Social network analysis involves the study of social networks and the analysis of social occurrences through data on coinciding pairs, representing the entities of opinion. This field draws upon principles from network science and utilizes various metrics to measure and evaluate social networks.

The book offers a comprehensive perspective on social network analysis, focusing on computational approaches using Python. It demonstrates the significance of fundamental facets of network theory and the diverse metrics employed to assess social networks. By employing Python, the book showcases the practical applications of network analysis, emphasizing its importance in understanding and modeling phenomena as networks.

One of the key advantages of social network analysis is its ability to uncover patterns and insights from real-world networks established with human-related data. These networks often exhibit social properties, such as graph patterns that can be analyzed to understand human behavioral patterns. This analysis can provide valuable insights into various aspects of society, including communication, information dissemination, and social interactions.

The book also exemplifies information cascades, which occur when information spreads through an underlying social network and achieves widespread adoption. It explores how social networks can facilitate the rapid dissemination of news, ideas, and trends, highlighting the potential impact of social media on social dynamics.

Network analysis plays a crucial role in various fields, including health systems and services. It offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks within these systems. By understanding the structure and dynamics of health networks, researchers and practitioners can better understand the flow of information, identify bottlenecks, and develop strategies for improving healthcare outcomes.

The social web has emerged as a significant social and interactive data source that contributes 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 largest marketplace. This, in turn, helps social networking analysis distribute better customer understanding and aids marketers in targeting the right right customers.

The book is designed to appeal to a wide audience, including computer scientists, AI researchers, IT and software engineers, mathematicians, and individuals interested in the fields of social science, humanities, and computer science. It provides a comprehensive introduction to social network analysis, covering theoretical foundations, computational approaches, and real-world applications. The book is well-organized, with each chapter presenting a clear and concise overview of the topic, accompanied by examples and exercises to reinforce understanding.

In conclusion, social network analysis is a rapidly evolving field that holds immense potential for understanding and analyzing social phenomena. This book serves as a valuable resource for developers, researchers, and practitioners seeking to gain a deeper understanding of social networks and their applications. By leveraging computational approaches and real-world data, social network analysis can provide valuable insights into various aspects of society, from communication and information dissemination to healthcare and marketing. As social media continues to shape our lives, the need for social network analysis will only grow, making this book an essential read for anyone interested in this field.

Weight: 490g
Dimension: 232 x 162 x 19 (mm)
ISBN-13: 9781119836230