Pattern detection in bipartite networks.

Pattern detection in bipartite networks.

<p>Schematic example of how matrix randomization is used to detect nonrandom patterns in bipartite networks/rectangular matrices. Black/gray cells in each matrix indicate presence of links (i.e., 1s) between the items in rows and the items in columns, while white cells indicate the absence of...

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Bibliographic Details
Main Author: Zachary P. Neal (9946331) (author)
Other Authors: Annabell Cadieux (19797668) (author), Diego Garlaschelli (735361) (author), Nicholas J. Gotelli (7159646) (author), Fabio Saracco (823184) (author), Tiziano Squartini (735359) (author), Shade T. Shutters (11133439) (author), Werner Ulrich (623723) (author), Guanyang Wang (19797671) (author), Giovanni Strona (117060) (author)
Published: 2024
Subjects:
Cell Biology
Biotechnology
Evolutionary Biology
Developmental Biology
Cancer
Mathematical Sciences not elsewhere classified
projected onto pairs
many research fields
examples include ecology
broad scientific audience
briefly reviewing examples
different technical domains
randomizing certain elements
null &# 8217
methods </ p
common data structure
use different terminology
matrices representing binary
original data
null models
different backgrounds
&# 8216
common need
common language
translating concepts
structural constraints
specific techniques
reference point
randomized matrices
preserving row
pattern detection
original matrix
nevertheless promoted
network metrics
methodological developments
matrices created
major approaches
independent development
equivalently expressed
empirical matrix
diversity statistics
distinct entities
different disciplines
conceptual importance
computational challenges
benchmark ensemble
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