We introduce BallotRank, a ranked preference aggregation method derived from a modified PageRank algorithm. It is a Condorcet-consistent method without damping, and empirical examination of nearly 2,000 ranked choice elections and over 20,000 internet polls confirms that BallotRank always identifies the Condorcet winner at conventional values of the damping parameter. We also prove that the method satisfies many of the same social choice criteria as other well-known Condorcet completion methods, but it has the advantage of being a natural social welfare function that provides a full ranking of the candidates.

翻译：本文提出BallotRank，一种基于改进PageRank算法的排序偏好聚合方法。该方法是一种无阻尼的孔多塞一致性方法，通过对近2000场排序选择选举和超过20000次网络投票的实证检验证实，在阻尼参数取常规值时，BallotRank总能识别出孔多塞胜者。我们同时证明该方法满足与其他知名孔多塞补全方法相同的多项社会选择准则，其优势在于能够作为自然的社会福利函数，为候选人提供完整的排序结果。