Data Skeptic Network of Past Guests Collaborations
Jul 21, 2025
Discover how DIY network analysis unveils connections among past podcast guests based on their co-authorship. Dive into the intricacies of academic collaborations, exploring underrepresented voices and the application of machine learning. Unpack the challenges of multi-agent software and personal data privacy while learning about effective data visualization techniques. Gain insights into the dynamics of academic publishing and uncover metrics that reveal the hidden structures in scholarly networks, showcasing the richness of collaborative research.
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Explorative Power of Networks
- Use network analysis to explore data without predefined expectations.
- It helps generate important questions rather than just finding answers.
Anomalous Network Hub from One Paper
- A paper with 50 co-authors caused an author to appear as a highly connected network hub.
- This one paper skewed the centrality measures and visualization of the collaboration network.
Use Gephi for Network Analysis
- Use Gephi for easy, no-code network analysis and visualization.
- It offers many algorithms and updates that simplify exploratory data science tasks.