Limits...
Cross-disciplinary detection and analysis of network motifs.

Tran NT, DeLuccia L, McDonald AF, Huang CH - Bioinform Biol Insights (2015)

Bottom Line: Moreover, similar networks share similar small motifs, but larger motifs define the unique structure of individuals.Pearson correlation coefficient suggests that protein structure networks, dolphin social network, and co-authorships in network science belong to a superfamily.In addition, yeast protein-protein interaction network, primary school contact network, Zachary's karate club network, and co-purchase of political books network can be classified into a superfamily.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.

ABSTRACT
The detection of network motifs has recently become an important part of network analysis across all disciplines. In this work, we detected and analyzed network motifs from undirected and directed networks of several different disciplines, including biological network, social network, ecological network, as well as other networks such as airlines, power grid, and co-purchase of political books networks. Our analysis revealed that undirected networks are similar at the basic three and four nodes, while the analysis of directed networks revealed the distinction between networks of different disciplines. The study showed that larger motifs contained the three-node motif as a subgraph. Topological analysis revealed that similar networks have similar small motifs, but as the motif size increases, differences arise. Pearson correlation coefficient showed strong positive relationship between some undirected networks but inverse relationship between some directed networks. The study suggests that the three-node motif is a building block of larger motifs. It also suggests that undirected networks share similar low-level structures. Moreover, similar networks share similar small motifs, but larger motifs define the unique structure of individuals. Pearson correlation coefficient suggests that protein structure networks, dolphin social network, and co-authorships in network science belong to a superfamily. In addition, yeast protein-protein interaction network, primary school contact network, Zachary's karate club network, and co-purchase of political books network can be classified into a superfamily.

No MeSH data available.


Significant five-node motifs for undirected networks.
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Related In: Results  -  Collection


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f4-bbi-9-2015-049: Significant five-node motifs for undirected networks.

Mentions: Figures 4–7 show the patterns of all significant motifs for each motif size from five to eight nodes in undirected networks. As the motif size increases, the patterns become more unclear. It is apparent from these graphs that, once the motif size exceeds four nodes, the graphs lose the pattern that exists with smaller motifs that have three or four nodes. This could mean that many of the undirected networks are similar at the basic three- and four-node motifs level structure but not at the higher level structure, which includes motifs with five or more nodes. This suggests that the dissimilarity increases between these networks as the motif size increases.


Cross-disciplinary detection and analysis of network motifs.

Tran NT, DeLuccia L, McDonald AF, Huang CH - Bioinform Biol Insights (2015)

Significant five-node motifs for undirected networks.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4403903&req=5

f4-bbi-9-2015-049: Significant five-node motifs for undirected networks.
Mentions: Figures 4–7 show the patterns of all significant motifs for each motif size from five to eight nodes in undirected networks. As the motif size increases, the patterns become more unclear. It is apparent from these graphs that, once the motif size exceeds four nodes, the graphs lose the pattern that exists with smaller motifs that have three or four nodes. This could mean that many of the undirected networks are similar at the basic three- and four-node motifs level structure but not at the higher level structure, which includes motifs with five or more nodes. This suggests that the dissimilarity increases between these networks as the motif size increases.

Bottom Line: Moreover, similar networks share similar small motifs, but larger motifs define the unique structure of individuals.Pearson correlation coefficient suggests that protein structure networks, dolphin social network, and co-authorships in network science belong to a superfamily.In addition, yeast protein-protein interaction network, primary school contact network, Zachary's karate club network, and co-purchase of political books network can be classified into a superfamily.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.

ABSTRACT
The detection of network motifs has recently become an important part of network analysis across all disciplines. In this work, we detected and analyzed network motifs from undirected and directed networks of several different disciplines, including biological network, social network, ecological network, as well as other networks such as airlines, power grid, and co-purchase of political books networks. Our analysis revealed that undirected networks are similar at the basic three and four nodes, while the analysis of directed networks revealed the distinction between networks of different disciplines. The study showed that larger motifs contained the three-node motif as a subgraph. Topological analysis revealed that similar networks have similar small motifs, but as the motif size increases, differences arise. Pearson correlation coefficient showed strong positive relationship between some undirected networks but inverse relationship between some directed networks. The study suggests that the three-node motif is a building block of larger motifs. It also suggests that undirected networks share similar low-level structures. Moreover, similar networks share similar small motifs, but larger motifs define the unique structure of individuals. Pearson correlation coefficient suggests that protein structure networks, dolphin social network, and co-authorships in network science belong to a superfamily. In addition, yeast protein-protein interaction network, primary school contact network, Zachary's karate club network, and co-purchase of political books network can be classified into a superfamily.

No MeSH data available.