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Pseudo core

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21:53

Coding the importance of core nodes in cascading

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30:01

Coding cascading Model

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21:02

Coding K-Shell Decomposition

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16:10

finding the right key nodes (the core)

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2:06

Who are the right key nodes?

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4:17

How to be Viral

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4:10

PseudoCores : Introduction

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13:15

Time Taken by Myopic Search

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10:21

Myopic Search comparision to optimal search

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20:16

Myopic Search

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10:13

Programming illustration- Myopic Search : Introduction

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5:00

Plotting change in diameter

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2:46

Adding weak ties

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16:30

Making homophily based edges

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2:23

Base code

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12:14

Programming illustration- Small world networks : Introduction

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25:05

Decentralized Search - III

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16:43

Decentralized Search - II

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9:26

Decentralized Search - I

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4:24

The Generative Model

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8:55

The Reason

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10:44

Milgram's Experiment

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14:40

Small World Effect - An Introduction

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11:11

Basic Reproductive Number

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8:00

Analyzing basic reproductive number 5

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7:53

Analyzing basic reproductive number 4

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6:24

Analyzing basic reproductive number 3

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Analyzing basic reproductive number 2

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7:21

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

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13:09

Percolation model

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8:21

Basic Reproductive Number Revisited for Complex Networks

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8:56

Comparison between SIR and SIS spreading models

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19:24

SIR and SIS spreading models

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8:10

Modeling epidemics on complex networks

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9:15

Simple Branching Process for Modeling Epidemics (contd..)

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5:20

Introduction to epidemics (contd..)

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10:15

Epidemics- An Introduction

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18:57

Rich Get Richer - The Long Tail

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19:45

Rich Get Richer - A Possible Reason

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20:00

Forced Versus Random Removal of Nodes (Attack Survivability)

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14:43

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

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4:50

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

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37:05

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

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10:41

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

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3:01

Summary So Far

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18:10

Rich Get Richer Phenomenon

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9:34

Detecting the Presence of Powerlaw

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11:31

Power Law emerges in WWW graphs

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11:20

Why do Normal Distributions Appear?

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15:37

Introduction to Powerlaw

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7:40

PageRank Explained

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5:51

PageRank as a Matrix Operation

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16:53

Convergence in Repeated Matrix Multiplication- The Details

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6:22

Addition of Two Vectors (Pre-requisite 2)

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8:42

Convergence in Repeated Matrix Multiplication (Pre-requisite 1)

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8:17

Matrix Multiplication (Pre-requisite 1)

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PageRank, conservation and convergence - Another example

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PageRank Revisited - Conservation and Convergence

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PageRank Revisited - Convergence in the Example

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