====== PyNet ======

[[notes:urls:py|Python URLs]]

====== Network analysis using Python ======
by Vladimir Batagelj

[[notes:py:pynet:chap|Chapters]]



  - [[notes:py:pynet:ch01|Preface]]
  - [[notes:py:pynet:Description of networks]]
  - [[notes:py:pynet:ch03|Visualization of networks]]
  - [[notes:py:pynet:ch04|Creating networks]]
  - [[notes:py:pynet:ch05|Understanding connectivity]]
  - [[notes:py:pynet:ch06|Important parts of networks]]
  - [[notes:py:pynet:ch07|Shortest paths]]
  - [[notes:py:pynet:ch08|Networks from text]]
  - [[notes:py:pynet:ch09|Crawling the web]]
  - [[notes:py:pynet:ch10|Clustering in networks]]
  - [[notes:py:pynet:ch11|Acyclic networks]]
  - [[notes:py:pynet:ch12|Postscript]]

====== Private ======

===== Introduction =====

  - networks
  - types of networks and their description
  - additional data structures (vectors, partitions, permutations, hierarchies, ...)

===== Data =====

  - key/label -> number
  - [[book:pynet:priv:text|text -> network]]
  - [[book:pynet:priv:trans|transformations]]
  - random networks
  - operations Kn, Pn, Cn, Sn, Knm; union, difference, match
  - solving puzzles, shortest paths (one, all)
  - neigbors networks: multivariate -> network
  - BiBTeX -> networks  synonims homonims
  - crawling the WWW, IMDb
  - genealogies (GED)
  - molecules
  - two-mode

===== Structure =====

  - degrees, fitting
  - connectivity, shortest paths
  - acyclic networks, condensation
  - [[book:pynet:priv:vis|visualization]]

===== Important parts =====

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

===== Multiplication and derived networks =====

  - coappearance,
  - combinations
  - subnetworks
  - levels
====== Volume 2 ======


  - statistics, triads
  - optimization, coloring
  - pattern searching (motifs),
  - Clustering and blockmodeling
  - diffusion
  - inductive definitions
  - Monte Carlo
  - simulations
  - bigdata
  - spatial networks

====== Volume 3 ======


  - temporal networks