Evidence map›Paper›PMID 26797021›Full record

ArticlePloS one2016

An Algorithm to Automatically Generate the Combinatorial Orbit Counting Equations.

Ine Melckenbeeck, Pieter Audenaert, Tom Michoel, Didier Colle, Mario Pickavet

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ine MelckenbeeckDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.
Pieter AudenaertDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.
Tom MichoelThe Roslin Institute, University of Edinburgh, Easter Bush, Midlothian, Scotland, United Kingdom.
Didier ColleDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.
Mario PickavetDepartment of Information Technology (INTEC), Ghent University-iMinds, Ghent, Belgium.

Funding

Biotechnology and Biological Sciences Research Council BB/J004235/1Biotechnology and Biological Sciences Research Council BB/M020053/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211551Biotechnology and Biological Sciences Research Council BBS/E/D/20211552
6 · The paper itself

Abstract

Graphlets are small subgraphs, usually containing up to five vertices, that can be found in a larger graph. Identification of the graphlets that a vertex in an explored graph touches can provide useful information about the local structure of the graph around that vertex. Actually finding all graphlets in a large graph can be time-consuming, however. As the graphlets grow in size, more different graphlets emerge and the time needed to find each graphlet also scales up. If it is not needed to find each instance of each graphlet, but knowing the number of graphlets touching each node of the graph suffices, the problem is less hard. Previous research shows a way to simplify counting the graphlets: instead of looking for the graphlets needed, smaller graphlets are searched, as well as the number of common neighbors of vertices. Solving a system of equations then gives the number of times a vertex is part of each graphlet of the desired size. However, until now, equations only exist to count graphlets with 4 or 5 nodes. In this paper, two new techniques are presented. The first allows to generate the equations needed in an automatic way. This eliminates the tedious work needed to do so manually each time an extra node is added to the graphlets. The technique is independent on the number of nodes in the graphlets and can thus be used to count larger graphlets than previously possible. The second technique gives all graphlets a unique ordering which is easily extended to name graphlets of any size. Both techniques were used to generate equations to count graphlets with 4, 5 and 6 vertices, which extends all previous results. Code can be found at https://github.com/IneMelckenbeeck/equation-generator and https://github.com/IneMelckenbeeck/graphlet-naming.

Indexed as

AlgorithmsComputer GraphicsComputer SimulationData Interpretation, StatisticalHumansModels, Biological

Identifiers

PMID26797021
PMCPMC4721873

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.