FACTORING AND WEIGHTING APPROACHES TO STATUS SCORES AND CLIQUE IDENTIFICATION
FACTORING AND WEIGHTING APPROACHES TO STATUS SCORES AND CLIQUE IDENTIFICATION
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DOI:
10.1080/0022250x.1972.9989806
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发表时间:
1972-01-01
影响因子:
1
通讯作者:
BONACICH, P
中科院分区:
文献类型:
--
作者:
BONACICH, P
Three very different techniques for devising indices of popularity or centrality have, with small variation, one basic solution for symmetric social structures. The resulting popularity or centrality scores have the advantage that they can be interpreted in all three different ways, and the isolation of the essential identity of the techniques makes more visable the important small differences between them. Moreover, it will be shown that this solution gives the clique structure at a glance. The solution will be contrasted with HubbelPs (1965) method of calculating status scores. In the consideration of the three approaches, W will be a symmetric matrix of relationships or sociometric choices. All values in W are assumed to be between 0 and 1 inclusive. For example, it might be that W= 1 if persons/• and j are friends and W, j= 0 otherwise. The elements on the main diagonal are all zero. The solution described in this paper only works for symmetric structures. Some social structures are naturally symmetric or can reasonably be made so. For example, talking to one another, spending time together, dating, and other behavioral relations are naturally symmetric. Friendship could be defined to include only reciprocal choices. An index of centrality in a communication structure might be desired, as a clue to how fast information will spread from an individual or to how much power an individual has because of his key position in the communication network. This structure will be symmetric if the communication channels are two-way. However, other relations will be inalterably asymmetric, such as nominations for the most powerful or popular in the group, and for these the method is not the appropriate tool. By being restricted to symmetric structures the technique is less general in its application but more general in its interpretation.