(a) Input graph G with two distinct positive cliques: the first comprising nodes 0, 1, and 2, and the second consisting of nodes 3, 4, and 5.

<p>(b) The post-reduction graph , where each of the two cliques is replaced with a self-loop at their corresponding two connector nodes 0 and 5. Weights of each self-loop equals the sum of positive weights of the clique that it has replaced.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Samin Aref (22226678) (author)
مؤلفون آخرون:	Boris Ng (22226681) (author)
منشور في:	2025
الموضوعات:	Sociology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified weighted graph according valued edge weights integer programming solvers integer programming solver correlations among stocks comprehensive results based cluster edge weights 2008 financial crisis possible node partitions novel approximation algorithm troika returns partitions random networks point div >< p clique partitioning problem accurate clique partitioning troika offers advantages optimal node partition clique partitioning node triples troika algorithm hard problem accurate method optimal partition troika uses troika reveals troika </ unlike heuristics sized networks practical relevance portfolio analysis paper introduces higher proximity guaranteed proximity global optimality eight modularity dynamic changes cut scheme community detection approximate optimization alternative methods 5000 edges 19 pandemic
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الوصف
الملخص:	<p>(b) The post-reduction graph , where each of the two cliques is replaced with a self-loop at their corresponding two connector nodes 0 and 5. Weights of each self-loop equals the sum of positive weights of the clique that it has replaced.</p>

(a) Input graph G with two distinct positive cliques: the first comprising nodes 0, 1, and 2, and the second consisting of nodes 3, 4, and 5.

مواد مشابهة