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Classical Algorithms for Social Network Analysis: Future and Current Trends

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Encyclopedia of Social Network Analysis and Mining

Synonyms

Cohesive subgroup, community detection; Geodesic: shortest path; Geodesic distance: graph theoretic distance; Node: vertex

Glossary

Walk:

A sequence of adjacent vertices in which edges and vertices can be repeated

Path:

A walk with no repeated vertices

Geodesic:

A shortest path between two vertices

Geodesic Distance:

The length of the shortest path between two vertices

Principal Eigenvector:

The eigenvector associated with the largest eigenvalue of the adjacency matrix

Subgraph:

A subset of vertices and edges from a graph

Component:

Maximal subgraph with a path between every pair of vertices

Proximity Matrix:

A symmetric valued matrix

Neighborhood:

Set of vertices adjacent to a given vertex

Scalable:

An algorithm that increases in run time at a rate proportional to the size of the problem

Definition

Social network analysis has always been an interdisciplinary field. The early pioneers brought together sociologists, anthropologists, psychologists, mathematicians, statisticians,...

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Everett, M.G. (2014). Classical Algorithms for Social Network Analysis: Future and Current Trends. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6170-8_26

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