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.


Related in: MedlinePlus

Significant four-node motifs for undirected network. Vertical axis shows significant profile. Horizontal axis shows motifs and their associated IDs.
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f3-bbi-9-2015-049: Significant four-node motifs for undirected network. Vertical axis shows significant profile. Horizontal axis shows motifs and their associated IDs.

Mentions: Significant four-node to eight-node motifs. Another similarity is that 6 (diseasome, three protein structures, dolphin, and co-authorship) out of 11 undirected networks have the same most and second significant four-node motifs (IDs 13278 and 4958). Additionally, four undirected networks (yeast, primary school contact, karate, and political books) have the same most, second, and third significant four-node motifs. These similarities can be seen in Figures 2 and 3. Figure 3 shows a clear pattern for all significant four-node motifs found in each undirected network.


Cross-disciplinary detection and analysis of network motifs.

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

Significant four-node motifs for undirected network. Vertical axis shows significant profile. Horizontal axis shows motifs and their associated IDs.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f3-bbi-9-2015-049: Significant four-node motifs for undirected network. Vertical axis shows significant profile. Horizontal axis shows motifs and their associated IDs.
Mentions: Significant four-node to eight-node motifs. Another similarity is that 6 (diseasome, three protein structures, dolphin, and co-authorship) out of 11 undirected networks have the same most and second significant four-node motifs (IDs 13278 and 4958). Additionally, four undirected networks (yeast, primary school contact, karate, and political books) have the same most, second, and third significant four-node motifs. These similarities can be seen in Figures 2 and 3. Figure 3 shows a clear pattern for all significant four-node motifs found in each undirected network.

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.


Related in: MedlinePlus