Aggregation World University Ranking Based on HITS

Numerous university rankings have been propo sed in recent decades. Different methodology and indicators lead t he remarkable divergence among various rankings which confuses decisionmakers. In this pape r, we analyzed the difference between four wellknown world university rankings and confirm that the huge divergence makes it difficult to choose only one ranking as a standard. To solve this problem , we propose to generate a comprehensive world university ranking by aggregating existing individual university rankings using Hyperlink- induced topic search algorithm. It is shown that the ag gregated ranking just likes a ‘ cocktail ’ consisting of all the information from individual university rankings and can ef ficiently eliminate the outliers and regional partiality as a “ smoothe r ” .