Introduction to Datasets

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Ingredients Network

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Synonymy Network

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Web Graph

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Social Network Datasets

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Datasets: Different Formats

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Datasets : How to Download?

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Datasets: Analysing Using Networks

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Datasets: Analysing Using Gephi

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Introduction : Emergence of Connectedness

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Advanced Material : Emergence of Connectedness

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Programming Illustration : Emergence of Connectedness

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Summary to Datasets

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Introduction

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Granovetter's Strength of weak ties

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Triads, clustering coefficient and neighborhood overlap

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Structure of weak ties, bridges, and local bridges

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Validation of Granovetter's experiment using cell phone data

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Embededness

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Structural Holes

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Social Capital

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Finding Communities in a graph (Brute Force Method)

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Community Detection Using Girvan Newman Algorithm

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Visualising Communities using Gephi

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Tie Strength, Social Media and Passive Engagement

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Betweenness Measures and Graph Partitioning

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Strong and Weak Relationship - Summary

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Introduction to Homophily - Should you watch your company ?

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Selection and Social Influence

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Interplay between Selection and Social Influence

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Homophily - Definition and measurement

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Foci Closure and Membership Closure

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Introduction to Fatman Evolutionary model

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Fatman Evolutionary Model- The Base Code (Adding people)

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Fatman Evolutionary Model- The Base Code (Adding Social Foci)

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Fatman Evolutionary Model- Implementing Homophily

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Quantifying the Effect of Triadic Closure

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Fatman Evolutionary Model- Implementing Closures

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Fatman Evolutionary Model- Implementing Social Influence

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Fatman Evolutionary Model- Storing and analyzing longitudnal data

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Spatial Segregation: An Introduction

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Spatial Segregation: Simulation of the Schelling Model

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Spatial Segregation: Conclusion

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Schelling Model Implementation-1(Introduction)

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Schelling Model Implementation-2 (Base Code)

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Schelling Model Implementation-3 (Visualization and Getting a list of boundary and internal nodes)

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Schelling Model Implementation-4 (Getting a list of unsatisfied nodes)

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Schelling Model Implementation-5 (Shifting the unsatisfied nodes and visualizing the final graph)

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CHAPTER - 5 POSITIVE AND NEGATIVE RELATIONSHIPS (INTRODUCTION)

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STRUCTURAL BALANCE

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ENEMY'S ENEMY IS A FRIEND

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Characterizing the structure of balanced networks

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BALANCE THEOREM

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PROOF OF BALANCE THEOREM

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Introduction to positive and negative edges

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Outline of implemantation

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Creating graph, displaying it and counting unstable triangles

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Moving a network from an unstable to stable state

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Forming two coalitions

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Forming two coalitions contd

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Visualizing coalitions and the evolution

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The Web Graph

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Collecting the Web Graph

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Equal Coin Distribution

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Random Coin Dropping

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Google Page Ranking Using Web Graph

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Implementing PageRank Using Points Distribution Method-1

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Implementing PageRank Using Points Distribution Method-2

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Implementing PageRank Using Points Distribution Method-3

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Implementing PageRank Using Points Distribution Method-4

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Implementing PageRank Using Random Walk Method -1

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Implementing PageRank Using Random Walk Method -2

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DegreeRank versus PageRank

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We Follow

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Why do we Follow?

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Diffusion in Networks

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Modeling Diffusion

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Modeling Diffusion (continued)

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Impact of Commmunities on Diffusion

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Cascade and Clusters

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Knowledge, Thresholds and the Collective Action

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An Introduction to the Programming Screencast (Coding 4 major ideas)

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The Base Code

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Coding the First Big Idea - Increasing the Payoff

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Coding the Second Big Idea - Key People

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Coding the Third Big Idea- Impact of Communities on Cascades

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Coding the Fourth Big Idea - Cascades and Clusters

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Introduction to Hubs and Authorities (A Story)

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Principle of Repeated Improvement (A story)

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Principle of Repeated Improvement (An example)

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Hubs and Authorities

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PageRank Revisited - An example

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PageRank Revisited - Convergence in the Example

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PageRank Revisited - Conservation and Convergence

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PageRank, conservation and convergence - Another example

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Matrix Multiplication (Pre-requisite 1)

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Convergence in Repeated Matrix Multiplication (Pre-requisite 1)

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Addition of Two Vectors (Pre-requisite 2)

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Convergence in Repeated Matrix Multiplication- The Details

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PageRank as a Matrix Operation

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PageRank Explained

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Introduction to Powerlaw

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Why do Normal Distributions Appear?

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Power Law emerges in WWW graphs

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Detecting the Presence of Powerlaw

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Rich Get Richer Phenomenon

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Summary So Far

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Implementing Rich-getting-richer Phenomenon (Barabasi-Albert Model)-1

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Implementing Rich-getting-richer Phenomenon (Barabasi-Albert Model)-2

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Implementing a Random Graph (Erdos- Renyi Model)-1

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Implementing a Random Graph (Erdos- Renyi Model)-2

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Forced Versus Random Removal of Nodes (Attack Survivability)

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Rich Get Richer - A Possible Reason

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Rich Get Richer - The Long Tail

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Epidemics- An Introduction

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Introduction to epidemics (contd..)

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Simple Branching Process for Modeling Epidemics

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Simple Branching Process for Modeling Epidemics (contd..)

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Basic Reproductive Number

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Modeling epidemics on complex networks

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SIR and SIS spreading models

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Comparison between SIR and SIS spreading models

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Basic Reproductive Number Revisited for Complex Networks

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Percolation model

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Analysis of basic reproductive number in branching model (The problem statement)

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Analyzing basic reproductive number 2

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Analyzing basic reproductive number 3

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Analyzing basic reproductive number 4

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Analyzing basic reproductive number 5

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Small World Effect - An Introduction

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Milgram's Experiment

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The Reason

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The Generative Model

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Decentralized Search - I

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Decentralized Search - II

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Decentralized Search - III

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Programming illustration- Small world networks : Introduction

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Base code

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Making homophily based edges

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Adding weak ties

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Plotting change in diameter

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Programming illustration- Myopic Search : Introduction

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Myopic Search

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Myopic Search comparision to optimal search

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Time Taken by Myopic Search

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PseudoCores : Introduction

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How to be Viral

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Who are the right key nodes?

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finding the right key nodes (the core)

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Coding K-Shell Decomposition

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Coding cascading Model

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Coding the importance of core nodes in cascading

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Pseudo core

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Live Session

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Live Session 10-04-2021

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Live Session 08-04-2021

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Live Session 07-09-2019

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Live Session 09-11-2019

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Live Session 26-10-2019

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Live Session 14-02-2022

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Live Session 23-03-2022

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