Social Network Analytics
24CSE871 · S8 · 4 credits
Official KTU 2024 syllabus subject — study with practice, PYQs and AI tools.
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Why:Foundation module
Why:High exam relevance
Why:Core module
Why:Applied concepts
Why:Standard exam coverage
Module 01Networks and Society (8 hrs)expand
Introduction, Applications of social Network Analysis, Preliminaries, Three levels of Social Network Analysis, Graph Visualization tools. Network Measures – Basics, Node Centrality, Assortativity, Transitivity, Reciprocity, Similarity, Degeneracy.
Module 02Network Growth Models (7 hrs)expand
Properties of Real-World Networks, Random Network Model, Ring lattice Network Model, Watts – Strogatz Model, Preferential Attachment Model, Price’s Model, Network model with Accelerating Growth.
Module 03Link Analysis (7 hrs)expand
Signed networks – Balance theory, Status theory, Triad Balance and Status, Strong and Weak Ties- Strength, Triadic Closure, Dunbar Number, Local bridges, Link Analysis algorithms, Page Rank, Personalized Page rank, Applications of Link Analysis.
Module 04Link Prediction (6 hrs)expand
Temporal changes in Network, Evaluating link prediction methods – Train test split, Positive Negative Samples, Evaluation Metric, Heuristic Models – Local and Global, Probabilistic Models.
Module 05Anomaly detection in networks (8 hrs)expand
Outliers Vs Networks based anomalies, Challenges, Anomaly detection Static Networks – Plain Networks, Attributed Networks, Relational Learning, Anomaly detection in dynamic networks – Feature based approaches, Decomposition based, Community based, Window Based.Case studies – Modelling the spread of Covid-19, Collusion in Online Social Networks
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