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10 February 2024 – 12 February 2024
Lector – Iryna Ivanochko
The three-day seminar on “Data Analysis Methods in Social Networks” is designed to provide participants with a comprehensive understanding of how to analyze and interpret data from social networks. This seminar is perfect for professionals, researchers, and students who are keen to enhance their skills in this rapidly evolving field.
Funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under the project No. 09I03-03-V01-000121
Dates: 10 February, 2025 – 12 February, 2025
Location: Comenius University Bratislava
Lector: Iryna Ivanochko
Funding: Seminars funded by the EU NextGenerationEU through the Recovery and Resilience Plan for Slovakia under the project No. 09I03-03-V01-000121
Seminar Program “Data Analysis Methods in Social Networks“
Day 1: Introduction and Data Collection
- Introduction to Social Network Analysis. Overview of social networks, their importance, applications, and case studies.
- Data Collection and Preprocessing. Data sources, data cleaning, and transformation techniques.
Day 2: Network Structure and Community Detection
- Network Structure and Properties. Basics of graph theory, network metrics, and visualization techniques.
- Community Detection and Analysis. Community detection algorithms and evaluating communities.
Day 3: Influence, Sentiment Analysis, and Ethical Considerations
- Influence and Information Diffusion. Influence models, measuring influence, and analyzing information spread.
- Sentiment Analysis and Opinion Mining. Text mining basics, sentiment analysis techniques, and opinion mining.
- Ethical Considerations and Privacy. Ethical issues, regulations and guidelines, and best practices for ethical data collection and analysis.
Why Attend?
This seminar is ideal for professionals, researchers, and students interested in social network analysis. By the end of the program, participants will have a comprehensive understanding of data analysis methods in social networks and be equipped with practical skills to apply these techniques in real-world scenarios.
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