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Refine description and threshold variable names
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‎domains/anomaly-detection/queries/AnomalyDetectionDependencyHungryOrchestrators.cypher‎

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// Anomaly Detection Query: Find dependency hungry orchestrators by listing the top 20 entries with the highest Article Rank >= 90% percentile and a Betweeenness centrality >= 90% percentile.
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// Anomaly Detection Query: Find dependency hungry orchestrators by listing the top (at most) 20 entries with the highest Article Rank >= 90% percentile and a Betweeenness centrality >= 90% percentile.
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// Shows key code that depend on many others and also controls flow — likely orchestrators or managers.
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MATCH (codeUnit)
@@ -8,12 +8,12 @@
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AND codeUnit.incomingDependencies IS NOT NULL
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AND codeUnit.outgoingDependencies IS NOT NULL
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WITH collect(codeUnit) AS codeUnits
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,percentileDisc(codeUnit.centralityArticleRank, 0.90) AS articleRank90Percentile
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweenness90Percentile
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,percentileDisc(codeUnit.centralityArticleRank, 0.90) AS articleRankThreshold
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweennessThreshold
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UNWIND codeUnits AS codeUnit
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WITH *, codeUnit.incomingDependencies + codeUnit.outgoingDependencies AS degree
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WHERE codeUnit.centralityArticleRank >= articleRank90Percentile
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AND codeUnit.centralityBetweenness >= betweenness90Percentile
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WHERE codeUnit.centralityArticleRank >= articleRankThreshold
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AND codeUnit.centralityBetweenness >= betweennessThreshold
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OPTIONAL MATCH (artifact:Java:Artifact)-[:CONTAINS]->(codeUnit)
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WITH *, artifact.name AS artifactName
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OPTIONAL MATCH (projectRoot:Directory)<-[:HAS_ROOT]-(proj:TS:Project)-[:CONTAINS]->(codeUnit)

‎domains/anomaly-detection/queries/AnomalyDetectionFragileStructuralBridges.cypher‎

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// Anomaly Detection Query: Find fragile structural bridges, potential boundary-spanning modules and cohesion violations by listing the top 20 entries with the highest Betweeenness centrality >= 90% percentile and a local clustering coefficient <= 10% percentile.
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// Anomaly Detection Query: Find fragile structural bridges, potential boundary-spanning modules and cohesion violations by listing the (at most) top 20 entries with the highest Betweeenness centrality >= 90% percentile and a local clustering coefficient <= 10% percentile.
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// Shows code that connects otherwise unrelated parts of the graph — potential architectural risks.
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MATCH (codeUnit)
@@ -8,12 +8,12 @@
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AND codeUnit.incomingDependencies IS NOT NULL
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AND codeUnit.outgoingDependencies IS NOT NULL
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WITH collect(codeUnit) AS codeUnits
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,percentileDisc(codeUnit.communityLocalClusteringCoefficient, 0.10) AS localClusteringCoefficient10Percentile
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweenness90Percentile
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,percentileDisc(codeUnit.communityLocalClusteringCoefficient, 0.10) AS localClusteringCoefficientThreshold
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweennessThreshold
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UNWIND codeUnits AS codeUnit
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WITH *, codeUnit.incomingDependencies + codeUnit.outgoingDependencies AS degree
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WHERE codeUnit.communityLocalClusteringCoefficient <= localClusteringCoefficient10Percentile
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AND codeUnit.centralityBetweenness >= betweenness90Percentile
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WHERE codeUnit.communityLocalClusteringCoefficient <= localClusteringCoefficientThreshold
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AND codeUnit.centralityBetweenness >= betweennessThreshold
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OPTIONAL MATCH (artifact:Java:Artifact)-[:CONTAINS]->(codeUnit)
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WITH *, artifact.name AS artifactName
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OPTIONAL MATCH (projectRoot:Directory)<-[:HAS_ROOT]-(proj:TS:Project)-[:CONTAINS]->(codeUnit)

‎domains/anomaly-detection/queries/AnomalyDetectionHiddenBridgeNodes.cypher‎

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// Anomaly Detection Query: Find hidden bridge code or misplaced responsibilities by listing the top 20 entries with the highest Betweeenness centrality >= 90% percentile and a Page Rank <= 10% percentile.
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// Anomaly Detection Query: Find hidden bridge code or misplaced responsibilities by listing the (at most) top 20 entries with the highest Betweeenness centrality >= 90% percentile and a Page Rank <= 10% percentile.
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// Shows code that mediates flow, but isn’t highly depended on — structural surprise.
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MATCH (codeUnit)
@@ -8,12 +8,12 @@
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AND codeUnit.incomingDependencies IS NOT NULL
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AND codeUnit.outgoingDependencies IS NOT NULL
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WITH collect(codeUnit) AS codeUnits
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,percentileDisc(codeUnit.centralityPageRank, 0.10) AS pageRank10Percentile
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweenness90Percentile
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,percentileDisc(codeUnit.centralityPageRank, 0.10) AS pageRankThreshold
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweennessThreshold
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UNWIND codeUnits AS codeUnit
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WITH *, codeUnit.incomingDependencies + codeUnit.outgoingDependencies AS degree
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WHERE codeUnit.centralityPageRank <= pageRank10Percentile
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AND codeUnit.centralityBetweenness >= betweenness90Percentile
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WHERE codeUnit.centralityPageRank <= pageRankThreshold
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AND codeUnit.centralityBetweenness >= betweennessThreshold
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OPTIONAL MATCH (artifact:Java:Artifact)-[:CONTAINS]->(codeUnit)
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WITH *, artifact.name AS artifactName
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OPTIONAL MATCH (projectRoot:Directory)<-[:HAS_ROOT]-(proj:TS:Project)-[:CONTAINS]->(codeUnit)

‎domains/anomaly-detection/queries/AnomalyDetectionOverReferencesUtilities.cypher‎

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// Anomaly Detection Query: Find over-referenced utility code by listing the top 20 entries with the highest Page Rank >= 90% percentile and a low local clustering coefficient below the 10% percentile.
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// Anomaly Detection Query: Find over-referenced utility code by listing the (at most) top 20 entries with the highest Page Rank >= 90% percentile and a low local clustering coefficient below the 10% percentile.
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// Shows code that is widely referenced, but loosely coupled in neighborhood — could be over-generalized or abused.
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MATCH (codeUnit)
@@ -8,12 +8,12 @@
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AND codeUnit.incomingDependencies IS NOT NULL
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AND codeUnit.outgoingDependencies IS NOT NULL
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WITH collect(codeUnit) AS codeUnits
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,percentileDisc(codeUnit.communityLocalClusteringCoefficient, 0.10) AS localClusteringCoefficient10PercentPercentile
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,percentileDisc(codeUnit.centralityPageRank, 0.90) AS pageRank90PercentPercentile
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,percentileDisc(codeUnit.communityLocalClusteringCoefficient, 0.10) AS localClusteringCoefficientThreshold
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,percentileDisc(codeUnit.centralityPageRank, 0.90) AS pageRankThreshold
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UNWIND codeUnits AS codeUnit
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WITH *, codeUnit.incomingDependencies + codeUnit.outgoingDependencies AS degree
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WHERE codeUnit.communityLocalClusteringCoefficient <= localClusteringCoefficient10PercentPercentile
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AND codeUnit.centralityPageRank >= pageRank90PercentPercentile
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WHERE codeUnit.communityLocalClusteringCoefficient <= localClusteringCoefficientThreshold
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AND codeUnit.centralityPageRank >= pageRankThreshold
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OPTIONAL MATCH (artifact:Java:Artifact)-[:CONTAINS]->(codeUnit)
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WITH *, artifact.name AS artifactName
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OPTIONAL MATCH (projectRoot:Directory)<-[:HAS_ROOT]-(proj:TS:Project)-[:CONTAINS]->(codeUnit)

‎domains/anomaly-detection/queries/AnomalyDetectionPopularBottlenecks.cypher‎

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// Anomaly Detection Query: Find popular bottlenecks by listing the top 20 entries with the highest Betweeenness centrality >= 90% percentile and a Page Rank >= 90% percentile.
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// Anomaly Detection Query: Find popular bottlenecks by listing the (at most) top 20 entries with the highest Betweeenness centrality >= 90% percentile and a Page Rank >= 90% percentile.
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// Shows key code that is both heavily depended on and control flow — critical hubs.
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MATCH (codeUnit)
@@ -8,12 +8,12 @@
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AND codeUnit.incomingDependencies IS NOT NULL
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AND codeUnit.outgoingDependencies IS NOT NULL
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WITH collect(codeUnit) AS codeUnits
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,percentileDisc(codeUnit.centralityPageRank, 0.90) AS pageRank90Percentile
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweenness90Percentile
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,percentileDisc(codeUnit.centralityPageRank, 0.90) AS pageRankThreshold
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweennessThreshold
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UNWIND codeUnits AS codeUnit
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WITH *, codeUnit.incomingDependencies + codeUnit.outgoingDependencies AS degree
15-
WHERE codeUnit.centralityPageRank >= pageRank90Percentile
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AND codeUnit.centralityBetweenness >= betweenness90Percentile
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WHERE codeUnit.centralityPageRank >= pageRankThreshold
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AND codeUnit.centralityBetweenness >= betweennessThreshold
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OPTIONAL MATCH (artifact:Java:Artifact)-[:CONTAINS]->(codeUnit)
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WITH *, artifact.name AS artifactName
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OPTIONAL MATCH (projectRoot:Directory)<-[:HAS_ROOT]-(proj:TS:Project)-[:CONTAINS]->(codeUnit)

‎domains/anomaly-detection/queries/AnomalyDetectionPotentialImbalancedRoles.cypher‎

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// Anomaly Detection Query: Find potential imbalanced roles in the codebase by listing the top 40 most significant Page Rank to Article Rank differences.
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// Anomaly Detection Query: Find potential imbalanced roles in the codebase by listing the (at most) top 20 most significant Page Rank to Article Rank differences.
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MATCH (codeUnit)
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WHERE $projection_node_label IN labels(codeUnit)
@@ -31,4 +31,4 @@ OPTIONAL MATCH (projectRoot:Directory)<-[:HAS_ROOT]-(proj:TS:Project)-[:CONTAINS
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//,pageToArticleRankDifferenceMean
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//,pageToArticleRankDifferenceStandardDeviation
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ORDER BY abs(pageToArticleRankDifferenceZScore) DESC
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LIMIT 40
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LIMIT 20

‎domains/anomaly-detection/queries/AnomalyDetectionPotentialOverEngineerOrIsolated.cypher‎

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// Anomaly Detection Query: Find potential over-engineered or isolated code unit by listing the top 20 entries with the highest local clustering coefficient and a Page Rank below the 5% percentile.
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// Anomaly Detection Query: Find potential over-engineered or isolated code unit by listing the (at most) top 20 entries with the highest local clustering coefficient and a Page Rank below the 5% percentile.
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MATCH (codeUnit)
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WHERE $projection_node_label IN labels(codeUnit)
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AND codeUnit.incomingDependencies IS NOT NULL
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AND codeUnit.outgoingDependencies IS NOT NULL
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WITH collect(codeUnit) AS codeUnits
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,percentileDisc(codeUnit.centralityPageRank, 0.10) AS pageRank10PercentPercentile
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,percentileDisc(codeUnit.communityLocalClusteringCoefficient, 0.90) AS localClusteringCoefficient90PercentPercentile
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,percentileDisc(codeUnit.centralityPageRank, 0.10) AS pageRankThreshold
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,percentileDisc(codeUnit.communityLocalClusteringCoefficient, 0.90) AS localClusteringCoefficientThreshold
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UNWIND codeUnits AS codeUnit
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WITH *, codeUnit.incomingDependencies + codeUnit.outgoingDependencies AS degree
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WHERE codeUnit.centralityPageRank <= pageRank10PercentPercentile
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AND codeUnit.communityLocalClusteringCoefficient >= localClusteringCoefficient90PercentPercentile
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WHERE codeUnit.centralityPageRank <= pageRankThreshold
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AND codeUnit.communityLocalClusteringCoefficient >= localClusteringCoefficientThreshold
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OPTIONAL MATCH (artifact:Java:Artifact)-[:CONTAINS]->(codeUnit)
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WITH *, artifact.name AS artifactName
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OPTIONAL MATCH (projectRoot:Directory)<-[:HAS_ROOT]-(proj:TS:Project)-[:CONTAINS]->(codeUnit)

‎domains/anomaly-detection/queries/AnomalyDetectionSilentCoordinators.cypher‎

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// Anomaly Detection Query: Find silent coordinators by listing the top 20 entries with the highest betweeenness >= 90% percentile and a in-degree <= 10% percentile.
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// Anomaly Detection Query: Find silent coordinators by listing the (at most) top 20 entries with the highest betweeenness >= 90% percentile and a in-degree <= 10% percentile.
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// Shows code that controls lots of interactions, yet not many modules depend on it — hidden complexity
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MATCH (codeUnit)
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AND codeUnit.incomingDependencies IS NOT NULL
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AND codeUnit.outgoingDependencies IS NOT NULL
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WITH collect(codeUnit) AS codeUnits
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,percentileDisc(codeUnit.incomingDependencies, 0.10) AS incomingDependencies10Percentile
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweenness90Percentile
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,percentileDisc(codeUnit.incomingDependencies, 0.10) AS incomingDependenciesThreshold
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweennessThreshold
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UNWIND codeUnits AS codeUnit
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WITH *, codeUnit.incomingDependencies + codeUnit.outgoingDependencies AS degree
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WHERE codeUnit.incomingDependencies <= incomingDependencies10Percentile
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AND codeUnit.centralityBetweenness <= betweenness90Percentile
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WHERE codeUnit.incomingDependencies <= incomingDependenciesThreshold
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AND codeUnit.centralityBetweenness <= betweennessThreshold
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OPTIONAL MATCH (artifact:Java:Artifact)-[:CONTAINS]->(codeUnit)
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WITH *, artifact.name AS artifactName
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OPTIONAL MATCH (projectRoot:Directory)<-[:HAS_ROOT]-(proj:TS:Project)-[:CONTAINS]->(codeUnit)

‎domains/anomaly-detection/queries/AnomalyDetectionUnexpectedCentralNodes.cypher‎

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// Anomaly Detection Query: Find hidden bottlenecks or hubs by listing the top 20 entries with the highest betweeenness >= 90% percentile and a degree <= 10% percentile.
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// Anomaly Detection Query: Find hidden bottlenecks or hubs by listing the (at most) top 20 entries with the highest betweeenness >= 90% percentile and a degree <= 10% percentile.
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// Shows code with high structural importance and only a few incoming and outgoing dependencies — often unexpected.
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MATCH (codeUnit)
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AND codeUnit.outgoingDependencies IS NOT NULL
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WITH *, codeUnit.incomingDependencies + codeUnit.outgoingDependencies AS degree
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WITH collect(codeUnit) AS codeUnits
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,percentileDisc(degree, 0.10) AS degree10Percentile
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweenness90Percentile
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,percentileDisc(degree, 0.10) AS degreeThreshold
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,percentileDisc(codeUnit.centralityBetweenness, 0.90) AS betweennessThreshold
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UNWIND codeUnits AS codeUnit
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WITH *, codeUnit.incomingDependencies + codeUnit.outgoingDependencies AS degree
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WHERE degree <= degree10Percentile
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AND codeUnit.centralityBetweenness <= betweenness90Percentile
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WHERE degree <= degreeThreshold
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AND codeUnit.centralityBetweenness <= betweennessThreshold
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OPTIONAL MATCH (artifact:Java:Artifact)-[:CONTAINS]->(codeUnit)
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WITH *, artifact.name AS artifactName
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OPTIONAL MATCH (projectRoot:Directory)<-[:HAS_ROOT]-(proj:TS:Project)-[:CONTAINS]->(codeUnit)

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