| Module Name | Download |
|---|---|
| noc20_cs32_assigment_1 | noc20_cs32_assigment_1 |
| noc20_cs32_assigment_10 | noc20_cs32_assigment_10 |
| noc20_cs32_assigment_11 | noc20_cs32_assigment_11 |
| noc20_cs32_assigment_12 | noc20_cs32_assigment_12 |
| noc20_cs32_assigment_13 | noc20_cs32_assigment_13 |
| noc20_cs32_assigment_2 | noc20_cs32_assigment_2 |
| noc20_cs32_assigment_3 | noc20_cs32_assigment_3 |
| noc20_cs32_assigment_4 | noc20_cs32_assigment_4 |
| noc20_cs32_assigment_5 | noc20_cs32_assigment_5 |
| noc20_cs32_assigment_6 | noc20_cs32_assigment_6 |
| noc20_cs32_assigment_7 | noc20_cs32_assigment_7 |
| noc20_cs32_assigment_8 | noc20_cs32_assigment_8 |
| noc20_cs32_assigment_9 | noc20_cs32_assigment_9 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Introduction | Download |
| 2 | Answer to the puzzle | Download |
| 3 | Introduction to Python-1 | Download |
| 4 | Introduction to Python-2 | Download |
| 5 | Introduction to Networkx-1 | Download |
| 6 | Introduction to Networkx-2 | Download |
| 7 | Social Networks: The Challenge | Download |
| 8 | Google Page Rank | Download |
| 9 | Searching in a Network | Download |
| 10 | Link Prediction | Download |
| 11 | The Contagions | Download |
| 12 | Importance of Acquaintances | Download |
| 13 | Marketing on Social Networks | Download |
| 14 | Introduction to Datasets | Download |
| 15 | Ingredients Network | Download |
| 16 | Synonymy Network | Download |
| 17 | Web Graph | Download |
| 18 | Social Network Datasets | Download |
| 19 | Datasets: Different Formats | Download |
| 20 | Datasets : How to Download? | Download |
| 21 | Datasets: Analysing Using Networkx | Download |
| 22 | Datasets: Analysing Using Gephi | Download |
| 23 | Introduction : Emergence of Connectedness | Download |
| 24 | Advanced Material : Emergence of Connectedness | Download |
| 25 | Programming Illustration : Emergence of Connectedness | Download |
| 26 | Summary to Datasets | Download |
| 27 | Introduction | Download |
| 28 | Granovetter's Strength of weak ties | Download |
| 29 | Triads, clustering coefficient and neighborhood overlap | Download |
| 30 | Structure of weak ties, bridges, and local bridges | Download |
| 31 | Validation of Granovetter's experiment using cell phone data | Download |
| 32 | Embededness | Download |
| 33 | Structural Holes | Download |
| 34 | Social Capital | Download |
| 35 | Finding Communities in a graph (Brute Force Method) | Download |
| 36 | Community Detection Using Girvan Newman Algorithm | Download |
| 37 | Visualising Communities using Gephi | Download |
| 38 | Tie Strength, Social Media and Passive Engagement | Download |
| 39 | Betweenness Measures and Graph Partitioning | Download |
| 40 | Strong and Weak Relationship - Summary | Download |
| 41 | Introduction to Homophily - Should you watch your company ? | Download |
| 42 | Selection and Social Influence | Download |
| 43 | Interplay between Selection and Social Influence | Download |
| 44 | Homophily - Definition and measurement | Download |
| 45 | Foci Closure and Membership Closure | Download |
| 46 | Introduction to Fatman Evolutionary model | Download |
| 47 | Fatman Evolutionary Model- The Base Code (Adding people) | Download |
| 48 | Fatman Evolutionary Model- The Base Code (Adding Social Foci) | Download |
| 49 | Fatman Evolutionary Model- Implementing Homophily | Download |
| 50 | Quantifying the Effect of Triadic Closure | Download |
| 51 | Fatman Evolutionary Model- Implementing Closures | Download |
| 52 | Fatman Evolutionary Model- Implementing Social Influence | Download |
| 53 | Fatman Evolutionary Model- Storing and analyzing longitudnal data | Download |
| 54 | Spatial Segregation: An Introduction | Download |
| 55 | Spatial Segregation: Simulation of the Schelling Model | Download |
| 56 | Spatial Segregation: Conclusion | Download |
| 57 | Schelling Model Implementation-1(Introduction) | Download |
| 58 | Schelling Model Implementation-2 (Base Code) | Download |
| 59 | Schelling Model Implementation-3 (Visualization and Getting a list of boundary and internal nodes) | Download |
| 60 | Schelling Model Implementation-4 (Getting a list of unsatisfied nodes) | Download |
| 61 | Schelling Model Implementation-5 (Shifting the unsatisfied nodes and visualizing the final graph) | Download |
| 62 | CHAPTER - 5 POSITIVE AND NEGATIVE RELATIONSHIPS (INTRODUCTION) | Download |
| 63 | STRUCTURAL BALANCE | Download |
| 64 | ENEMY'S ENEMY IS A FRIEND | Download |
| 65 | Characterizing the structure of balanced networks | Download |
| 66 | BALANCE THEOREM | Download |
| 67 | PROOF OF BALANCE THEOREM | Download |
| 68 | Introduction to positive and negative edges | Download |
| 69 | Outline of implemantation | Download |
| 70 | Creating graph, displaying it and counting unstable triangles | Download |
| 71 | Moving a network from an unstable to stable state | Download |
| 72 | Forming two coalitions | Download |
| 73 | Forming two coalitions contd | Download |
| 74 | Visualizing coalitions and the evolution | Download |
| 75 | The Web Graph | Download |
| 76 | Collecting the Web Graph | Download |
| 77 | Equal Coin Distribution | Download |
| 78 | Random Coin Dropping | Download |
| 79 | Google Page Ranking Using Web Graph | Download |
| 80 | Implementing PageRank Using Points Distribution Method-1 | Download |
| 81 | Implementing PageRank Using Points Distribution Method-2 | Download |
| 82 | Implementing PageRank Using Points Distribution Method-3 | Download |
| 83 | Implementing PageRank Using Points Distribution Method-4 | Download |
| 84 | Implementing PageRank Using Random Walk Method -1 | Download |
| 85 | Implementing PageRank Using Random Walk Method -2 | Download |
| 86 | DegreeRank versus PageRank | Download |
| 87 | We Follow | Download |
| 88 | Why do we Follow? | Download |
| 89 | Diffusion in Networks | Download |
| 90 | Modeling Diffusion | Download |
| 91 | Modeling Diffusion (continued) | Download |
| 92 | Impact of Commmunities on Diffusion | Download |
| 93 | Cascade and Clusters | Download |
| 94 | Knowledge, Thresholds and the Collective Action | Download |
| 95 | An Introduction to the Programming Screencast (Coding 4 major ideas) | Download |
| 96 | The Base Code | Download |
| 97 | Coding the First Big Idea - Increasing the Payoff | Download |
| 98 | Coding the Second Big Idea - Key People | Download |
| 99 | Coding the Third Big Idea- Impact of Communities on Cascades | Download |
| 100 | Coding the Fourth Big Idea - Cascades and Clusters | Download |
| 101 | Introduction to Hubs and Authorities (A Story) | Download |
| 102 | Principle of Repeated Improvement (A story) | Download |
| 103 | Principle of Repeated Improvement (An example) | Download |
| 104 | Hubs and Authorities | Download |
| 105 | PageRank Revisited - An example | Download |
| 106 | PageRank Revisited - Convergence in the Example | Download |
| 107 | PageRank Revisited - Conservation and Convergence | Download |
| 108 | PageRank, conservation and convergence - Another example | Download |
| 109 | Matrix Multiplication (Pre-requisite 1) | Download |
| 110 | Convergence in Repeated Matrix Multiplication (Pre-requisite 1) | Download |
| 111 | Addition of Two Vectors (Pre-requisite 2) | Download |
| 112 | Convergence in Repeated Matrix Multiplication- The Details | Download |
| 113 | PageRank as a Matrix Operation | Download |
| 114 | PageRank Explained | Download |
| 115 | Introduction to Powerlaw | Download |
| 116 | Why do Normal Distributions Appear? | Download |
| 117 | Power Law emerges in WWW graphs | Download |
| 118 | Detecting the Presence of Powerlaw | Download |
| 119 | Rich Get Richer Phenomenon | Download |
| 120 | Summary So Far | Download |
| 121 | Implementing Rich-getting-richer Phenomenon (Barabasi-Albert Model)-1 | Download |
| 122 | Implementing Rich-getting-richer Phenomenon (Barabasi-Albert Model)-2 | Download |
| 123 | Implementing a Random Graph (Erdos- Renyi Model)-1 | Download |
| 124 | Implementing a Random Graph (Erdos- Renyi Model)-2 | Download |
| 125 | Forced Versus Random Removal of Nodes (Attack Survivability) | Download |
| 126 | Rich Get Richer - A Possible Reason | Download |
| 127 | Rich Get Richer - The Long Tail | Download |
| 128 | Epidemics- An Introduction | Download |
| 129 | Introduction to epidemics (contd..) | Download |
| 130 | Simple Branching Process for Modeling Epidemics | Download |
| 131 | Simple Branching Process for Modeling Epidemics (contd..) | Download |
| 132 | Basic Reproductive Number | Download |
| 133 | Modeling epidemics on complex networks | Download |
| 134 | SIR and SIS spreading models | Download |
| 135 | Comparison between SIR and SIS spreading models | Download |
| 136 | Basic Reproductive Number Revisited for Complex Networks | Download |
| 137 | Percolation model | Download |
| 138 | Analysis of basic reproductive number in branching model (The problem statement) | Download |
| 139 | Analyzing basic reproductive number 2 | Download |
| 140 | Analyzing basic reproductive number 3 | Download |
| 141 | Analyzing basic reproductive number 4 | Download |
| 142 | Analyzing basic reproductive number 5 | Download |
| 143 | Small World Effect - An Introduction | Download |
| 144 | Milgram's Experiment | Download |
| 145 | The Reason | Download |
| 146 | The Generative Model | Download |
| 147 | Decentralized Search - I | Download |
| 148 | Decentralized Search - II | Download |
| 149 | Decentralized Search - III | Download |
| 150 | Programming illustration- Small world networks : Introduction | Download |
| 151 | Base code | Download |
| 152 | Making homophily based edges | Download |
| 153 | Adding weak ties | Download |
| 154 | Plotting change in diameter | Download |
| 155 | Programming illustration- Myopic Search : Introduction | Download |
| 156 | Myopic Search | Download |
| 157 | Myopic Search comparision to optimal search | Download |
| 158 | Time Taken by Myopic Search | Download |
| 159 | PseudoCores : Introduction | Download |
| 160 | How to be Viral | Download |
| 161 | Who are the right key nodes? | Download |
| 162 | finding the right key nodes (the core) | Download |
| 163 | Coding K-Shell Decomposition | Download |
| 164 | Coding cascading Model | Download |
| 165 | Coding the importance of core nodes in cascading | Download |
| 166 | Pseudo core | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Introduction | Download Verified |
| 2 | Answer to the puzzle | Download Verified |
| 3 | Introduction to Python-1 | Download Verified |
| 4 | Introduction to Python-2 | Download Verified |
| 5 | Introduction to Networkx-1 | Download Verified |
| 6 | Introduction to Networkx-2 | Download Verified |
| 7 | Social Networks: The Challenge | Download Verified |
| 8 | Google Page Rank | Download Verified |
| 9 | Searching in a Network | Download Verified |
| 10 | Link Prediction | Download Verified |
| 11 | The Contagions | Download Verified |
| 12 | Importance of Acquaintances | Download Verified |
| 13 | Marketing on Social Networks | Download Verified |
| 14 | Introduction to Datasets | Download Verified |
| 15 | Ingredients Network | Download Verified |
| 16 | Synonymy Network | Download Verified |
| 17 | Web Graph | Download Verified |
| 18 | Social Network Datasets | Download Verified |
| 19 | Datasets: Different Formats | Download Verified |
| 20 | Datasets : How to Download? | Download Verified |
| 21 | Datasets: Analysing Using Networkx | Download Verified |
| 22 | Datasets: Analysing Using Gephi | Download Verified |
| 23 | Introduction : Emergence of Connectedness | Download Verified |
| 24 | Advanced Material : Emergence of Connectedness | Download Verified |
| 25 | Programming Illustration : Emergence of Connectedness | Download Verified |
| 26 | Summary to Datasets | Download Verified |
| 27 | Introduction | Download Verified |
| 28 | Granovetter's Strength of weak ties | Download Verified |
| 29 | Triads, clustering coefficient and neighborhood overlap | Download Verified |
| 30 | Structure of weak ties, bridges, and local bridges | Download Verified |
| 31 | Validation of Granovetter's experiment using cell phone data | Download Verified |
| 32 | Embededness | Download Verified |
| 33 | Structural Holes | Download Verified |
| 34 | Social Capital | Download Verified |
| 35 | Finding Communities in a graph (Brute Force Method) | Download Verified |
| 36 | Community Detection Using Girvan Newman Algorithm | Download Verified |
| 37 | Visualising Communities using Gephi | Download Verified |
| 38 | Tie Strength, Social Media and Passive Engagement | Download Verified |
| 39 | Betweenness Measures and Graph Partitioning | Download Verified |
| 40 | Strong and Weak Relationship - Summary | Download Verified |
| 41 | Introduction to Homophily - Should you watch your company ? | Download Verified |
| 42 | Selection and Social Influence | Download Verified |
| 43 | Interplay between Selection and Social Influence | Download Verified |
| 44 | Homophily - Definition and measurement | Download Verified |
| 45 | Foci Closure and Membership Closure | Download Verified |
| 46 | Introduction to Fatman Evolutionary model | Download Verified |
| 47 | Fatman Evolutionary Model- The Base Code (Adding people) | Download Verified |
| 48 | Fatman Evolutionary Model- The Base Code (Adding Social Foci) | Download Verified |
| 49 | Fatman Evolutionary Model- Implementing Homophily | Download Verified |
| 50 | Quantifying the Effect of Triadic Closure | Download Verified |
| 51 | Fatman Evolutionary Model- Implementing Closures | Download Verified |
| 52 | Fatman Evolutionary Model- Implementing Social Influence | Download Verified |
| 53 | Fatman Evolutionary Model- Storing and analyzing longitudnal data | Download Verified |
| 54 | Spatial Segregation: An Introduction | Download Verified |
| 55 | Spatial Segregation: Simulation of the Schelling Model | Download Verified |
| 56 | Spatial Segregation: Conclusion | Download Verified |
| 57 | Schelling Model Implementation-1(Introduction) | Download Verified |
| 58 | Schelling Model Implementation-2 (Base Code) | Download Verified |
| 59 | Schelling Model Implementation-3 (Visualization and Getting a list of boundary and internal nodes) | Download Verified |
| 60 | Schelling Model Implementation-4 (Getting a list of unsatisfied nodes) | Download Verified |
| 61 | Schelling Model Implementation-5 (Shifting the unsatisfied nodes and visualizing the final graph) | Download Verified |
| 62 | CHAPTER - 5 POSITIVE AND NEGATIVE RELATIONSHIPS (INTRODUCTION) | Download Verified |
| 63 | STRUCTURAL BALANCE | Download Verified |
| 64 | ENEMY'S ENEMY IS A FRIEND | Download Verified |
| 65 | Characterizing the structure of balanced networks | Download Verified |
| 66 | BALANCE THEOREM | Download Verified |
| 67 | PROOF OF BALANCE THEOREM | Download Verified |
| 68 | Introduction to positive and negative edges | Download Verified |
| 69 | Outline of implemantation | Download Verified |
| 70 | Creating graph, displaying it and counting unstable triangles | Download Verified |
| 71 | Moving a network from an unstable to stable state | Download Verified |
| 72 | Forming two coalitions | Download Verified |
| 73 | Forming two coalitions contd | Download Verified |
| 74 | Visualizing coalitions and the evolution | Download Verified |
| 75 | The Web Graph | Download Verified |
| 76 | Collecting the Web Graph | Download Verified |
| 77 | Equal Coin Distribution | Download Verified |
| 78 | Random Coin Dropping | Download Verified |
| 79 | Google Page Ranking Using Web Graph | Download Verified |
| 80 | Implementing PageRank Using Points Distribution Method-1 | Download Verified |
| 81 | Implementing PageRank Using Points Distribution Method-2 | Download Verified |
| 82 | Implementing PageRank Using Points Distribution Method-3 | Download Verified |
| 83 | Implementing PageRank Using Points Distribution Method-4 | Download Verified |
| 84 | Implementing PageRank Using Random Walk Method -1 | Download Verified |
| 85 | Implementing PageRank Using Random Walk Method -2 | Download Verified |
| 86 | DegreeRank versus PageRank | Download Verified |
| 87 | We Follow | Download Verified |
| 88 | Why do we Follow? | Download Verified |
| 89 | Diffusion in Networks | Download Verified |
| 90 | Modeling Diffusion | Download Verified |
| 91 | Modeling Diffusion (continued) | Download Verified |
| 92 | Impact of Commmunities on Diffusion | Download Verified |
| 93 | Cascade and Clusters | Download Verified |
| 94 | Knowledge, Thresholds and the Collective Action | Download Verified |
| 95 | An Introduction to the Programming Screencast (Coding 4 major ideas) | Download Verified |
| 96 | The Base Code | Download Verified |
| 97 | Coding the First Big Idea - Increasing the Payoff | Download Verified |
| 98 | Coding the Second Big Idea - Key People | Download Verified |
| 99 | Coding the Third Big Idea- Impact of Communities on Cascades | Download Verified |
| 100 | Coding the Fourth Big Idea - Cascades and Clusters | Download Verified |
| 101 | Introduction to Hubs and Authorities (A Story) | Download Verified |
| 102 | Principle of Repeated Improvement (A story) | Download Verified |
| 103 | Principle of Repeated Improvement (An example) | Download Verified |
| 104 | Hubs and Authorities | Download Verified |
| 105 | PageRank Revisited - An example | Download Verified |
| 106 | PageRank Revisited - Convergence in the Example | Download Verified |
| 107 | PageRank Revisited - Conservation and Convergence | Download Verified |
| 108 | PageRank, conservation and convergence - Another example | Download Verified |
| 109 | Matrix Multiplication (Pre-requisite 1) | Download Verified |
| 110 | Convergence in Repeated Matrix Multiplication (Pre-requisite 1) | Download Verified |
| 111 | Addition of Two Vectors (Pre-requisite 2) | Download Verified |
| 112 | Convergence in Repeated Matrix Multiplication- The Details | Download Verified |
| 113 | PageRank as a Matrix Operation | Download Verified |
| 114 | PageRank Explained | Download Verified |
| 115 | Introduction to Powerlaw | Download Verified |
| 116 | Why do Normal Distributions Appear? | Download Verified |
| 117 | Power Law emerges in WWW graphs | Download Verified |
| 118 | Detecting the Presence of Powerlaw | Download Verified |
| 119 | Rich Get Richer Phenomenon | Download Verified |
| 120 | Summary So Far | Download Verified |
| 121 | Implementing Rich-getting-richer Phenomenon (Barabasi-Albert Model)-1 | Download Verified |
| 122 | Implementing Rich-getting-richer Phenomenon (Barabasi-Albert Model)-2 | Download Verified |
| 123 | Implementing a Random Graph (Erdos- Renyi Model)-1 | Download Verified |
| 124 | Implementing a Random Graph (Erdos- Renyi Model)-2 | Download Verified |
| 125 | Forced Versus Random Removal of Nodes (Attack Survivability) | Download Verified |
| 126 | Rich Get Richer - A Possible Reason | Download Verified |
| 127 | Rich Get Richer - The Long Tail | Download Verified |
| 128 | Epidemics- An Introduction | Download Verified |
| 129 | Introduction to epidemics (contd..) | Download Verified |
| 130 | Simple Branching Process for Modeling Epidemics | Download Verified |
| 131 | Simple Branching Process for Modeling Epidemics (contd..) | Download Verified |
| 132 | Basic Reproductive Number | Download Verified |
| 133 | Modeling epidemics on complex networks | Download Verified |
| 134 | SIR and SIS spreading models | Download Verified |
| 135 | Comparison between SIR and SIS spreading models | Download Verified |
| 136 | Basic Reproductive Number Revisited for Complex Networks | Download Verified |
| 137 | Percolation model | Download Verified |
| 138 | Analysis of basic reproductive number in branching model (The problem statement) | Download Verified |
| 139 | Analyzing basic reproductive number 2 | Download Verified |
| 140 | Analyzing basic reproductive number 3 | Download Verified |
| 141 | Analyzing basic reproductive number 4 | Download Verified |
| 142 | Analyzing basic reproductive number 5 | Download Verified |
| 143 | Small World Effect - An Introduction | Download Verified |
| 144 | Milgram's Experiment | Download Verified |
| 145 | The Reason | Download Verified |
| 146 | The Generative Model | Download Verified |
| 147 | Decentralized Search - I | Download Verified |
| 148 | Decentralized Search - II | Download Verified |
| 149 | Decentralized Search - III | Download Verified |
| 150 | Programming illustration- Small world networks : Introduction | Download Verified |
| 151 | Base code | Download Verified |
| 152 | Making homophily based edges | Download Verified |
| 153 | Adding weak ties | Download Verified |
| 154 | Plotting change in diameter | Download Verified |
| 155 | Programming illustration- Myopic Search : Introduction | Download Verified |
| 156 | Myopic Search | Download Verified |
| 157 | Myopic Search comparision to optimal search | Download Verified |
| 158 | Time Taken by Myopic Search | Download Verified |
| 159 | PseudoCores : Introduction | Download Verified |
| 160 | How to be Viral | Download Verified |
| 161 | Who are the right key nodes? | Download Verified |
| 162 | finding the right key nodes (the core) | Download Verified |
| 163 | Coding K-Shell Decomposition | Download Verified |
| 164 | Coding cascading Model | Download Verified |
| 165 | Coding the importance of core nodes in cascading | Download Verified |
| 166 | Pseudo core | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Download |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |