A5065520726- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Human Mobility and Location-Based Analysis
- Advanced Clustering Algorithms Research
- Geographic Information Systems Studies
- Internet Traffic Analysis and Secure E-voting
- Recommender Systems and Techniques
- Spam and Phishing Detection
National Institute of Technology Durgapur
2022-2025
Analyzing the social interactions and texts on Twitter can provide valuable insights into users' behavior, opinions, even their geographical locations. Location inference of users within a network finds applications in various domains, such as targeted advertising public health monitoring. Inference techniques through interactions, co-mentions, remain favored method for constructing user networks. Co-mentions, however, introduce substantial number noisy relationships that impact overall...
Over the years or even decades, researchers are dealing with problem of duplicate clusters overlapping in a cluster set. Clusters overlap within each other just as case social networking groups, grouping movies by genre. In this paper, hierarchical form clustering is used to user based on interaction which creates numerous different sizes at level. doing so, many generated but duplicates not removed. Duplicity possesses challenge for differentiation. Our work here two fold. Firstly, users...