SOC355H1 Lecture Notes - Lecture 6: Geodesic, Closeness Centrality, Star Network
Document Summary
To collect network data, first pick your nodes and then pick your relations and then think about your measures. Sampling from networks is harder than it looks. There are lots of ways of collecting network data: they all have advantages but none of them are perfect. Measures of connectivity (geodesics, isolates, degree, neighbourhood, Geodesic undefined if nodes are not connected. Degree: number of connections a node has, kind of centrality. Neighbourhood- type of nodes connected to an ego node. Density is a proportion of the number of ties that exist in a network over the number that could exist (fraction) Goes from 0-1 because it is a proportion. Denominator: undirected (only one line between two nodes, therefore divide by 2 to get rid of half) n2-n/2. Express density up to three decimal places (for problem set) Centrality- a property of a node, not a whole network, so every node will have its own centrality.
