Community Detection in Graphs.

Fortunato, S. (2010). Community Detection in Graphs. Physics Reports, 486(3), 3-5.

Type

Journal article

Intellectual base

Primary research

Year

2010

DOI

10.1016/j.physrep.2009.11.002

Link

https://doi.org/10.1016/j.physrep.2009.11.002

Cited from

mathematics

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Modifiable Areal Unit Problem
  • In network science, modular structure is partition-dependent, with resolution-parameterized community-detection algorithms exposing it as varying with a resolution choice.

    This sourceReviews community detection and modularity, including resolution-dependence: detected community structure varies with the resolution parameter chosen.

• Partition Dependence of Aggregates
  • The transfer has moved historically from spatial statistics into epidemiology (cluster detection, rate comparison across administrative levels), network science (resolution-limit literature, multi-resolution community detection), causal inference (Simpson's paradox, the distinction between conditioning on and marginalising over partition variables), machine learning (clustering stability, ensemble clustering, consensus partitions), macroeconometrics (time-aggregation bias, temporal disaggregation), and political science (mathematical redistricting, compactness criteria).

    This sourceComprehensive review establishing that detected modular structure is partition-/resolution-dependent on the same graph.

Domain-specific

• Community structure
  • The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.

Verification

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