types of networks (ordinary, two-mode, multi-relational, temporal, collections and sequences) and their description
additional data structures (vectors, partitions, permutations, hierarchies, …)
libraries to work with networks (NetworkX, igraph, snap, NetworKit, …)
data formats (pajek, json, graphML, …)
existing network data bases; input and output routines
special descriptions: molecules, GED, …; examples
degrees, fitting, Erdos-Renyi networks, scale-free networks, Dunbar number, large networks
try it yourself; summary
list of links
list/dictionary of lists/dictionaries of neighbors (isolated nodes, parallel links, weights, properties; topology, sorted) efficiency of operations, space requirements/consumption
multi-relational (multiplex), two-mode, temporal
operations: fis - first in second table - union, intersection
Example: 5 people communication events
