├── Quiz_Rough_Work.ipynb ├── README.md ├── Week 1 ├── 1.1_Networks-Everywhere.pdf ├── 1.2_Network-Definition-and-Vocabulary.pdf ├── 1.3_Node-and-Edge-Attributes.pdf ├── 1.4_Bipartite-Graphs.pdf ├── Assignment+1.ipynb ├── Loading+Graphs+in+NetworkX.ipynb └── Quiz_week_1.txt ├── Week 2 ├── 2.1_Clustering-Coefficient.pdf ├── 2.2_Distance-Measures.pdf ├── 2.3_Connected-Components.pdf ├── 2.4_Network-Robustness.pdf ├── Assignment+2.ipynb ├── Quiz.ipynb └── Visualizing+Graphs+with+NetworkX.ipynb ├── Week 3 ├── 3.1_Degree-and-Closeness-Centrality.pdf ├── 3.2_Betweenness-Centrality.pdf ├── 3.3_Basic-Page-Rank.pdf ├── 3.4_Scaled-Page-Rank.pdf ├── 3.5_Hubs-and-Authorities.pdf └── Assignment+3.ipynb ├── networks-book-ch02--GRAPHS.pdf ├── networks-book-ch18--Power Laws and Rich-Get-Richer.pdf ├── networks-book-ch20.pdf └── week4 ├── 4.1_Preferential-Attachment-Model.pdf ├── 4.2_Small-World-Networks.pdf ├── 4.3_Link-Prediction.pdf ├── Assignment+4 - Copy.ipynb ├── Assignment+4.ipynb └── Graph+Features.ipynb /Quiz_Rough_Work.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Quiz_Rough_Work.ipynb -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/README.md -------------------------------------------------------------------------------- /Week 1/1.1_Networks-Everywhere.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 1/1.1_Networks-Everywhere.pdf -------------------------------------------------------------------------------- /Week 1/1.2_Network-Definition-and-Vocabulary.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 1/1.2_Network-Definition-and-Vocabulary.pdf -------------------------------------------------------------------------------- /Week 1/1.3_Node-and-Edge-Attributes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 1/1.3_Node-and-Edge-Attributes.pdf -------------------------------------------------------------------------------- /Week 1/1.4_Bipartite-Graphs.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 1/1.4_Bipartite-Graphs.pdf -------------------------------------------------------------------------------- /Week 1/Assignment+1.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 1/Assignment+1.ipynb -------------------------------------------------------------------------------- /Week 1/Loading+Graphs+in+NetworkX.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 1/Loading+Graphs+in+NetworkX.ipynb -------------------------------------------------------------------------------- /Week 1/Quiz_week_1.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 1/Quiz_week_1.txt -------------------------------------------------------------------------------- /Week 2/2.1_Clustering-Coefficient.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 2/2.1_Clustering-Coefficient.pdf -------------------------------------------------------------------------------- /Week 2/2.2_Distance-Measures.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 2/2.2_Distance-Measures.pdf -------------------------------------------------------------------------------- /Week 2/2.3_Connected-Components.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 2/2.3_Connected-Components.pdf -------------------------------------------------------------------------------- /Week 2/2.4_Network-Robustness.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 2/2.4_Network-Robustness.pdf -------------------------------------------------------------------------------- /Week 2/Assignment+2.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 2/Assignment+2.ipynb -------------------------------------------------------------------------------- /Week 2/Quiz.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 2/Quiz.ipynb -------------------------------------------------------------------------------- /Week 2/Visualizing+Graphs+with+NetworkX.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 2/Visualizing+Graphs+with+NetworkX.ipynb -------------------------------------------------------------------------------- /Week 3/3.1_Degree-and-Closeness-Centrality.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 3/3.1_Degree-and-Closeness-Centrality.pdf -------------------------------------------------------------------------------- /Week 3/3.2_Betweenness-Centrality.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 3/3.2_Betweenness-Centrality.pdf -------------------------------------------------------------------------------- /Week 3/3.3_Basic-Page-Rank.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 3/3.3_Basic-Page-Rank.pdf -------------------------------------------------------------------------------- /Week 3/3.4_Scaled-Page-Rank.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 3/3.4_Scaled-Page-Rank.pdf -------------------------------------------------------------------------------- /Week 3/3.5_Hubs-and-Authorities.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 3/3.5_Hubs-and-Authorities.pdf -------------------------------------------------------------------------------- /Week 3/Assignment+3.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/Week 3/Assignment+3.ipynb -------------------------------------------------------------------------------- /networks-book-ch02--GRAPHS.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/networks-book-ch02--GRAPHS.pdf -------------------------------------------------------------------------------- /networks-book-ch18--Power Laws and Rich-Get-Richer.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/networks-book-ch18--Power Laws and Rich-Get-Richer.pdf -------------------------------------------------------------------------------- /networks-book-ch20.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/networks-book-ch20.pdf -------------------------------------------------------------------------------- /week4/4.1_Preferential-Attachment-Model.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/week4/4.1_Preferential-Attachment-Model.pdf -------------------------------------------------------------------------------- /week4/4.2_Small-World-Networks.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/week4/4.2_Small-World-Networks.pdf -------------------------------------------------------------------------------- /week4/4.3_Link-Prediction.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/week4/4.3_Link-Prediction.pdf -------------------------------------------------------------------------------- /week4/Assignment+4 - Copy.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/week4/Assignment+4 - Copy.ipynb -------------------------------------------------------------------------------- /week4/Assignment+4.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/week4/Assignment+4.ipynb -------------------------------------------------------------------------------- /week4/Graph+Features.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rahulpatraiitkgp/Applied-Social-Network-Analysis-in-Python/HEAD/week4/Graph+Features.ipynb --------------------------------------------------------------------------------