التفاصيل البيبلوغرافية
العنوان: |
Comodularity and detection of co-communities. |
المؤلفون: |
Bartlett TE; Department of Statistical Science, University College London, London WC1E 7HB, United Kingdom. |
المصدر: |
Physical review. E [Phys Rev E] 2021 Nov; Vol. 104 (5-1), pp. 054309. |
نوع المنشور: |
Journal Article |
اللغة: |
English |
بيانات الدورية: |
Publisher: American Physical Society Country of Publication: United States NLM ID: 101676019 Publication Model: Print Cited Medium: Internet ISSN: 2470-0053 (Electronic) Linking ISSN: 24700045 NLM ISO Abbreviation: Phys Rev E Subsets: PubMed not MEDLINE; MEDLINE |
أسماء مطبوعة: |
Original Publication: Ridge, NY : American Physical Society, [2016]- |
مستخلص: |
This paper introduces the notion of comodularity, to cocluster observations of bipartite networks into co-communities. The task of coclustering is to group together nodes of one type with nodes of another type, according to the interactions that are the most similar. The measure of comodularity is introduced to assess the strength of co-communities, as well as to arrange the representation of nodes and clusters for visualization, and to define an objective function for optimization. We demonstrate the usefulness of our proposed methodology on simulated data, and with examples from genomics and consumer-product reviews. |
معلومات مُعتمدة: |
MR/P014070/1 United Kingdom MRC_ Medical Research Council |
تواريخ الأحداث: |
Date Created: 20211224 Latest Revision: 20220323 |
رمز التحديث: |
20221213 |
DOI: |
10.1103/PhysRevE.104.054309 |
PMID: |
34942704 |
قاعدة البيانات: |
MEDLINE |