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You can also use the hamming distance approach
David Banks & Kathleen Carley, 1994, “Metric Inference for Social
Networks.” Journal of Classification , 11: 121-149.
Kathleen Carley & David Banks, 1993, “Nonparametric Inference for
Network Data.” Journal of Mathematical Sociology , 18(1): 1-26.
>>Let's say one generated a 500x500 sparsely filled matrix by method A
>>(citation references, say), and other 500x500 matrices (of the same
>>objects) by methods B, C, D.... Z (say, by post-hoc expert ratings on some
>>defined criteria). Each of the n matrices can be separately described by
>>the usual set of networks metrics (e.g., to find clusters, cliques, and so
>>Would folks kindly direct me to some readings or examples of how to compare
>>the differently generated matrices of the same objects? If this was a
>>rating or concordance exercise (say in radiology), kappa-class statistics
>>might be used to compare the ratings of different referees of the same
>>objects ("yes, this film shows pathology"/"no, it doesn't"). What are
>>similar approaches in SNA to describing networks concordance?
>>Hope I'm not missing the obvious, here. Many thanks,,,,
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