scholarly journals Invariant Graph Partition Comparison Measures

Symmetry ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 504 ◽  
Author(s):  
Fabian Ball ◽  
Andreas Geyer-Schulz

Symmetric graphs have non-trivial automorphism groups. This article starts with the proof that all partition comparison measures we have found in the literature fail on symmetric graphs, because they are not invariant with regard to the graph automorphisms. By the construction of a pseudometric space of equivalence classes of permutations and with Hausdorff’s and von Neumann’s methods of constructing invariant measures on the space of equivalence classes, we design three different families of invariant measures, and we present two types of invariance proofs. Last, but not least, we provide algorithms for computing invariant partition comparison measures as pseudometrics on the partition space. When combining an invariant partition comparison measure with its classical counterpart, the decomposition of the measure into a structural difference and a difference contributed by the group automorphism is derived.

1989 ◽  
Vol 47 (1) ◽  
pp. 60-72 ◽  
Author(s):  
Marston Conder ◽  
Peter Lorimer

2018 ◽  
Vol 34 (6) ◽  
pp. 367-375 ◽  
Author(s):  
Laura D. Seligman ◽  
Erin F. Swedish ◽  
Jason P. Rose ◽  
Jessica M. Baker

Abstract. The current study examined the validity of two self-report measures of social anxiety constructed using social comparative referent points. It was hypothesized that these comparison measures would be both reliable and valid. Results indicated that two different comparative versions – one invoking injunctive norms and another invoking descriptive norms – showed good reliability, excellent internal consistency, and acceptable convergent and discriminant validity. The comparative measures also predicted positive functioning, some aspects of social quality of life, and social anxiety as measured by an independent self-report. These findings suggest that adding a comparative reference point to instructions on social anxiety measures may aid in the assessment of social anxiety.


1990 ◽  
Vol 120 (1-3) ◽  
pp. 275-282
Author(s):  
Masato Tada ◽  
Hisashi Ohsaki ◽  
Michel André Aegerter

2020 ◽  
Vol 51 (4) ◽  
pp. 1919-1930
Author(s):  
Masoumeh Akbarizadeh ◽  
Mehdi Alaeiyan ◽  
Raffaele Scapellato
Keyword(s):  

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