Python URLs

by Vladimir Batagelj

Chapters

1. Preface
2. Description of networks
3. Visualization of networks
4. Creating networks
5. Understanding connectivity
6. Important parts of networks
7. Shortest paths
8. Networks from text
9. Crawling the web
10. Clustering in networks
11. Acyclic networks
12. Postscript

1. networks
2. types of networks and their description
3. additional data structures (vectors, partitions, permutations, hierarchies, …)

1. key/label → number
2. text -> network
3. transformations
4. random networks
5. operations Kn, Pn, Cn, Sn, Knm; union, difference, match
6. solving puzzles, shortest paths (one, all)
7. neigbors networks: multivariate → network
8. BiBTeX → networks synonims homonims
9. crawling the WWW, IMDb
10. genealogies (GED)
11. molecules
12. two-mode

1. degrees, fitting
2. connectivity, shortest paths
3. acyclic networks, condensation
4. visualization

1. measures (centralities and weights), cores, SPC, probability flow
2. cuts
3. islands (SPC, main path, CPM)
4. skeltons (trees, k-neighbors, pathfinder)

1. coappearance,
2. combinations
3. subnetworks
4. levels

1. statistics, triads
2. optimization, coloring
3. pattern searching (motifs),
4. Clustering and blockmodeling
5. diffusion
6. inductive definitions
7. Monte Carlo
8. simulations
9. bigdata
10. spatial networks

1. temporal networks