Subject Details
Dept     : CS
Sem      : 5
Regul    : 2021
Faculty : Nandhini
phone  : NIL
E-mail  : nandhini23594@gmail.com
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Lecture Notes

UNIT 1:
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Mining Twitter
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Twitter in all the rage
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Exploring Twitter‟s API
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Analyzing the 140 characters
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Mining Facebook
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Exploring Facebook‟s social Graph API
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Analyzing social graph connections
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Mining Google+
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Exploring the Google+ API
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Mining web pages
UNIT 2:
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Nodes, Edges and Network Measures
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Network Measures
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Basics of network structure
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Network Structure and Measures
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Describing nodes and edges
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Entity Resolution and Link Prediction
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Link Prediction
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Describing networks
UNIT 3:
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Community Maintained Resources
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Supporting technologies for community maintained resources
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User motivations
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Location based social interaction
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Location technology
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Mobile location sharing
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Social Information Sharing
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Social filtering
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Automated recommender system
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Social Media in the public sector
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Analyzing public sector social media
UNIT 4:
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Random walks in social networks and their applicatnios a survey
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Random walks on Graphs, Background
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Related work, Algorithms
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Applications
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Evaluation and datasets
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A survey of link prediction in social networks
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Feature based link prediction
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Bayesian probabilistic models
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Privacy in social networks
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Privacy breaches in social networks
UNIT 5:
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Visualizing social networks
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A Taxonomy of visualizations
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The convergence of Visualization
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Interaction and Analytics
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Data mining in social media
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Text mining in social networks
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Integrating sensors
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social networks
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Multimedia information networks