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DB2SNA: Extraction and Aggregation of Social Networks from DB 17– Thesis hasStudentsharestworelations“Part-of”withStudentandThesis.We add a new node on the hypernode Student < Thesis, Thesis i >, correspondingto his Thesis. Then, we can apply the pattern Pr 4 .– Pr 4 :=< Same Thesis,Student i ,Student j , Thesis hasStudent >, by thispattern we search all the students which share the same thesis. We did notfind such relation which is semantically inexact.Relation and identified PatternRelation:R h :=< ′′ Part−of ′′ ,Student,thesis hasStudent >Pattern:- Thesis hasStudent shares two relations “Partof”with Student an Thesis- Add the node n :< Thesis,Thesis i > toeach instance of Student- Pr 4 :=< Same Thesis,Student i,Student j,Thesis hasStudent >Example of extracted relationTable 5. Relation Rh3 Pattern.From the relation R h4 :=< ′′′′ ,Thesis,Director thesis >, there are no identifiedpatterns because Thesis is not related to other entities (Table 6). ConsideringRelation and identified PatternRelation:R h4 :=< ′′′′ ,Thesis,Director thesis >Pattern:- Thesis has no relations with other entitiesthen no pattern detected.- Add the node n :< Thesis,Thesis i > toeach instance of StudentExample of extracted relationTable 6. Relation R h4 Patternthe identified patterns and the hypernode database instance (Fig.4), a first socialnetwork is extracted by applying the set of patterns to the instance hypernodes.