A flowchart of the key parts of the Troika algorithm.
<p>A flowchart of the key parts of the Troika algorithm.</p>
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2025
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| _version_ | 1852016761699827712 |
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| author | Samin Aref (22226678) |
| author2 | Boris Ng (22226681) |
| author2_role | author |
| author_facet | Samin Aref (22226678) Boris Ng (22226681) |
| author_role | author |
| dc.creator.none.fl_str_mv | Samin Aref (22226678) Boris Ng (22226681) |
| dc.date.none.fl_str_mv | 2025-09-10T17:31:13Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcsy.0000062.g008 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/A_flowchart_of_the_key_parts_of_the_Troika_algorithm_/30097433 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | 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 |
| dc.title.none.fl_str_mv | A flowchart of the key parts of the Troika algorithm. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>A flowchart of the key parts of the Troika algorithm.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_4bb37b583d3cf2958f4fd98aca0ce99a |
| identifier_str_mv | 10.1371/journal.pcsy.0000062.g008 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30097433 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A flowchart of the key parts of the Troika algorithm.Samin Aref (22226678)Boris Ng (22226681)SociologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedweighted graph accordingvalued edge weightsinteger programming solversinteger programming solvercorrelations among stockscomprehensive results basedcluster edge weights2008 financial crisispossible node partitionsnovel approximation algorithmtroika returns partitionsrandom networks pointdiv >< pclique partitioning problemaccurate clique partitioningtroika offers advantagesoptimal node partitionclique partitioningnode triplestroika algorithmhard problemaccurate methodoptimal partitiontroika usestroika revealstroika </unlike heuristicssized networkspractical relevanceportfolio analysispaper introduceshigher proximityguaranteed proximityglobal optimalityeight modularitydynamic changescut schemecommunity detectionapproximate optimizationalternative methods5000 edges19 pandemic<p>A flowchart of the key parts of the Troika algorithm.</p>2025-09-10T17:31:13ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcsy.0000062.g008https://figshare.com/articles/figure/A_flowchart_of_the_key_parts_of_the_Troika_algorithm_/30097433CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300974332025-09-10T17:31:13Z |
| spellingShingle | A flowchart of the key parts of the Troika algorithm. Samin Aref (22226678) 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 |
| status_str | publishedVersion |
| title | A flowchart of the key parts of the Troika algorithm. |
| title_full | A flowchart of the key parts of the Troika algorithm. |
| title_fullStr | A flowchart of the key parts of the Troika algorithm. |
| title_full_unstemmed | A flowchart of the key parts of the Troika algorithm. |
| title_short | A flowchart of the key parts of the Troika algorithm. |
| title_sort | A flowchart of the key parts of the Troika algorithm. |
| topic | 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 |