PMC:6323551 / 13549-14305 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/6323551","sourcedb":"PMC","sourceid":"6323551","source_url":"https://www.ncbi.nlm.nih.gov/pmc/6323551","text":"Community Detection\nCommunity detection is an approach used in network analytics to partition a large, densely connected network into smaller subnetworks.22, 23 Various community-detection methods can algorithmically identify meaningful subnetworks. These methods have most commonly been applied in social network analyses for the detection of structure in social interactions.24 We used Louvain’s method,22, 25 which is implemented in Gephi as the “modularity” feature, to partition the DDN and detect subnetworks, or communities, of diseases (see Web Resources). The communities detected had varying types of disease nodes. We used the identified disease communities to further investigate the biological interpretation of disease connections in the DDN.","divisions":[{"label":"title","span":{"begin":0,"end":19}}],"tracks":[{"project":"2_test","denotations":[{"id":"30598166-17190818-2050496","span":{"begin":158,"end":160},"obj":"17190818"},{"id":"30598166-23378606-2050497","span":{"begin":377,"end":379},"obj":"23378606"},{"id":"30598166-15697438-2050498","span":{"begin":409,"end":411},"obj":"15697438"}],"attributes":[{"subj":"30598166-17190818-2050496","pred":"source","obj":"2_test"},{"subj":"30598166-23378606-2050497","pred":"source","obj":"2_test"},{"subj":"30598166-15697438-2050498","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"2_test","color":"#ecb893","default":true}]}]}}