7 research outputs found
The overlaps of domain-domain interactions predicted by APMM, DPEA and PE with iPfam
<p><b>Copyright information:</b></p><p>Taken from "Analysis on multi-domain cooperation for predicting protein-protein interactions"</p><p>http://www.biomedcentral.com/1471-2105/8/391</p><p>BMC Bioinformatics 2007;8():391-391.</p><p>Published online 16 Oct 2007</p><p>PMCID:PMC2222654.</p><p></p
Link communities of three artifical networks.
<p>(A) The network consists of five overlapping communities. Nodes 1, 7, 12, 16 are overlapping nodes; (B) The network consists of two overlapping communities. Nodes 1 and 2 are overlapping nodes that belong to the two communities, and link (1, 2) belongs to the two communities as well; (C) The network consists of two overlapping cliques and the overlapped subgraph is a 3-clique.</p
The network in Ref. [11] can be correctly partitioned into three communities by our model, and the objective function value is 1.
<p>The network in Ref. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0083739#pone.0083739-Ahn1" target="_blank">[11]</a> can be correctly partitioned into three communities by our model, and the objective function value is 1.</p
Link communities of some real-world networks.
<p>(A) The Karate club network; (B) The word association network; (C) The co-appearance network.</p
Link communities of three networks of heterogeneous cliques.
<p>(A) The ring network of heterogeneous cliques. Each community is a clique, and two adjacent communities are connected by one node. (B) The ring network of overlapping heterogeneous cliques. Each community is a clique, and two adjacent communities are connected by one node or one link. (C) The tree network of heterogeneous cliques. Each community is a clique, and two adjacent communities are overlapped by one node <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0083739#pone.0083739-Ahn1" target="_blank">[11]</a>.</p
The parameters used in the GA algorithm for solving the link community detection problem on networks in Figure 2.
<p>The parameters used in the GA algorithm for solving the link community detection problem on networks in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0083739#pone-0083739-g002" target="_blank">Figure 2</a>.</p
Three different partition results of a tree network.
<p>(A) Correct partition. (B,C) Two counter-intuitive partitions. The red links and their adjacent nodes constitute a community, the blue links and their adjacent nodes form another community. The black node is overlapped.</p