Indices for clusterability, a generalization of balance, are developed as measures of the tendency toward consistency in structures represented by signed graphs. The effects of path length are taken into account as well as the importance of algorithmic methods for analyzing complex structures. Strength of relationship is incorporated as the approach is extended to quantitative structures, where values are assigned to the interpoint relationships. Certain crucial advantages of analyzing quantitative rather than the usual qualitative structures receive attention, including the possibility of distinguishing different forms or levels of the consistency criterion. Relationships with existing indices are discussed.
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