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Social Network Analysis - Theory and Applications (Hardcover)
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Social Network Analysis - Theory and Applications (Hardcover)
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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.
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