Social Network Analysis - Considerations for Data Collection and Analysis
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 from the Alan Turing Institute. Delve into key concepts such as the strength of weak ties, hydari imbalance, homophily, and obedience to authority. Learn about network data types, whole and partial networks, degree, connectivity, motifs, and community detection. Discover various network visualization techniques and software tools used in the field. Gain insights from Bernie Hogan, an expert in social network analysis, as he shares his research on personal social networks and the interplay between online and offline connections. Understand the historical context and current applications of social network analysis in this informative 70-minute presentation.
Syllabus
Introduction
Outline
Strength of weak ties
Hydari imbalance
Homophily
Obedience to Authority
Community
Network data
Whole and partial networks
Degree
Connectivity
Motifs
Homophony
Community Detection
Network Visualization
Software
History
Taught by
Alan Turing Institute
Reviews
5.0 rating, based on 1 Class Central review
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I found this course very helpful for understanding the basics of social network analysis and how data can be collected and studied carefully. The instructor explained the concepts in a simple way which made it easier for me to follow the lessons. I especially liked how the course connected theory with practical ideas related to data analysis and research. It also gave me a better understanding of how social connections and networks can be analyzed using data-driven methods. Overall this course was a valuable learning experience for me as a student interested in data science.