↓ Skip to main content

Relations between the set-complexity and the structure of graphs and their sub-graphs

Overview of attention for article published in EURASIP Journal on Bioinformatics & Systems Biology, September 2012
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
13 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Relations between the set-complexity and the structure of graphs and their sub-graphs
Published in
EURASIP Journal on Bioinformatics & Systems Biology, September 2012
DOI 10.1186/1687-4153-2012-13
Pubmed ID
Authors

Tomasz M Ignac, Nikita A Sakhanenko, David J Galas

Abstract

: We describe some new conceptual tools for the rigorous, mathematical description of the "set-complexity" of graphs. This set-complexity has been shown previously to be a useful measure for analyzing some biological networks, and in discussing biological information in a quantitative fashion. The advances described here allow us to define some significant relationships between the set-complexity measure and the structure of graphs, and of their component sub-graphs. We show here that modular graph structures tend to maximize the set-complexity of graphs. We point out the relationship between modularity and redundancy, and discuss the significance of set-complexity in this regard. We specifically discuss the relationship between complexity and entropy in the case of complete-bipartite graphs, and present a new method for constructing highly complex, binary graphs. These results can be extended to the case of ternary graphs, and to other multi-edge graphs, which are fundamentally more relevant to biological structures and systems. Finally, our results lead us to an approach for extracting high complexity modular graphs from large, noisy graphs with low information content. We illustrate this approach with two examples.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Bachelor 1 8%
Other 1 8%
Student > Master 1 8%
Unknown 6 46%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 23%
Computer Science 2 15%
Biochemistry, Genetics and Molecular Biology 2 15%
Unknown 6 46%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 September 2012.
All research outputs
#11,053,406
of 12,434,754 outputs
Outputs from EURASIP Journal on Bioinformatics & Systems Biology
#38
of 51 outputs
Outputs of similar age
#108,201
of 127,134 outputs
Outputs of similar age from EURASIP Journal on Bioinformatics & Systems Biology
#1
of 1 outputs
Altmetric has tracked 12,434,754 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 51 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 127,134 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them