论基于图的社会网络分析的正确性

Mārtiņš Opmanis
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引用次数: 0

摘要

作为网络科学的一个分支,社会网络分析广泛使用图技术。只有在极少数情况下,从图模型中获得的结果才会根据“基本真理”进行验证,并直接适用于所研究领域中的对象。就像数学中的无关解一样,没有根据的机械类比,对不及物关系的间接联系的不正确解释,以及对社交网络“路径”概念的使用,可能会导致在使用的图模型之外没有证据的不可逆转的结果。作者研究了具有二元联系的单峰网络,给出了几个正确和错误应用的例子,并恢复了不正确的根源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
About Correctness of Graph-Based Social Network Analysis
As a branch of network science, social network analysis widely uses graph techniques. Only in rare cases are results obtained from the graph models validated against “ground truth” and are directly applicable to objects in the investigated domain. Like extraneous solutions in mathematics, ungrounded mechanistic analogies, incorrect interpretation of indirect ties for intransitive relations and use of the “path” concept for social networks may lead to noninvertible results with no evidence outside the used graph model. The author investigates unimodal networks with dyadic ties, provides several examples of correct and incorrect applications and recovers the roots of incorrectness.
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