One Week Hands-on Workshop on Scientometrics & Network Science
Venue: Hub C, BML Munjal University (BMU), Gurugram, Haryana.
Date: July 14 to 18, 2025
Mode: In-person
Brochure | Online Registration
Hosted by Center for Advanced Data and Computational Science, School of Engineering & Technology, BMU, Gurugram, Haryana
Workshop Introduction: In today's rapidly expanding academic landscape, the ability to systematically analyse scientific output has become crucial. Scientometrics—the quantitative study of scholarly literature—offers essential tools to assess research performance, track publication trends, and inform strategic decisions in academia and policy. When combined with network science, these tools go beyond metrics like citation counts to reveal the complex relationships between authors, institutions, and ideas, offering deeper insight into how knowledge is created and shared. This workshop introduces participants to the fundamentals of social network analysis (SNA) and its powerful applications in bibliometric research. Through hands-on sessions with tools like Gephi, Scopus, and MetaInfoSci, attendees will learn to map and analyse research networks, detect collaboration patterns, and identify emerging trends across disciplines. Whether in healthcare, social science, law, or technology, mastering these techniques will enable participants to uncover hidden insights, strengthen research impact, and make more informed, data-driven decisions.
Workshop Objectives
- Equip participants with foundational SNA knowledge and skills to understand key metrics and model real-world networks.
- Enable participants to apply SNA tools using Gephi for network analysis across disciplines, and work with Scopus data and the MetaInfoSci tool to explore bibliometric and collaboration networks.
Key Learning Areas
- Introduction to social network analysis
- Key metrics of network science, centrality measures
- Community detection
- Network models
- Introduction and hands-on with Gephi software
- Introduction and hands-on with scopus database and MetaInfoSci web tool
- Hands-on with different case studies: Healthcare, Social Science, Library Science, Law, Management & Technology.
DAY-WISE SCHEDULE
- Day 1: Foundations of Social Network Analysis
- Objective: Understand the Basics of SNA and Its Significance.
- Day 2: Network Metrics and Centrality Measures
- Objective: Learn Key Metrics for Network Interpretation.
- Day 3: Metainfosci & Data Collection from Scopus
- Objective: Learn to Extract and Analyze Bibliometric Data.
- Day 4: Community Detection and Network Models
- Objective: Explore Structural Patterns and Modeling in Networks.
- Day 5: Case Studies and Interdisciplinary Applications
- Objective: Apply concepts to real-world domains.
About Centre for Advanced Data and Computational Science (CAD-CS) at BMU: The Centre for Advanced Data and Computational Science (CAD-CS) is an interdisciplinary research hub that leverages computational science to address pressing engineering & technological, biomedical, socio-economic, and environmental challenges. The center integrates computational techniques, such as advanced machine learning, generative artificial intelligence, modeling, and simulation, with sustainable development goals to create innovative solutions for social well-being. By harnessing advanced data science, computational techniques, and interdisciplinary collaboration, CADCS is committed to developing innovative solutions to techno-societal challenges, aligned with sustainable development goals, to promote a healthier and more equitable society.
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