Social Network Analysis - Introduction to Structural Thinking
Alan Turing Institute via YouTube
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Overview
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Explore the fundamentals of social network analysis in this comprehensive lecture by Dr. Bernie Hogan from the University of Oxford. Delve into structural thinking and its application to modern digital networks. Learn about key concepts such as preferential attachment, small worlds, homophily, the friendship paradox, and clustering. Discover how these classic ideas have been updated with insights from Twitter, Facebook, and the World Wide Web. Gain a solid foundation in social network analysis methodologies and their relevance in today's increasingly mediated interactions. Examine the shift towards large-scale network analysis and its implications for understanding social structures. Engage with recommended readings to deepen your understanding of network science, online social networks, and their applications across various disciplines.
Syllabus
Introduction
Facebook is pervasive
Personal and business networks
Community detection algorithms
Mark Granovetter
Balance
Closure
Milgram
Polarization
Position
Degrees
Distribution
preferential attachment
configuration model
homophily
homophony
Taught by
Alan Turing Institute
Reviews
5.0 rating, based on 1 Class Central review
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It was really good as it provide all details like community delection algorithms, explaining every detail about it how to detect communities and how to detect anamolies and also discuss about roles of graphs in social network analysis.