Community detection for species position groups

Knowledge graph centered on Community detection for species position groups with 68 nodes and 132 connections. Top connected: phenological mismatch, Climate Change Impacts, Interspecies competition, Organic matter decomposition, Temperature.

Method synopsis

Application of community detection algorithms to alignment matrices to identify distinct groups of species positions with similar structural roles in plant-pollinator networks.

Synthesized from method descriptions across 2 papers using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Untangling the seasonal dynamics of plant-pollinator communities (2020), Nature Communications. DOI: 10.1038/s41467-020-17894-y. Implementations in other papers (listed below) may differ.

1. Identify distinct groups of species positions
   Used community detection methods to identify distinct groups of species positions based on alignment matrix, measuring basic node properties for each position type including species' relative degree and interaction measures.
   Quantities: Three distinct groups identified for pollinator positions and three for plant positionsDuration: Community detection analysis periodConditions: Computational analysis phase
   Equipment: community detection algorithms

Typical Equipment

• community detection algorithms

Output Measurements

• species position groups
• group membership classifications

Papers Using This Protocol (2)

Species Studied With This Protocol

Places Where Used