10027/19033 Rahul Kushwaha Rahul Kushwaha Large Knowledge Bases and Networks: Results on Analogies and Betweenness Centrality University of Illinois at Chicago 2014 Large Networks ConceptNet Betweenness Centrality Analogy Solver 2014-10-28 00:00:00 Thesis https://indigo.uic.edu/articles/thesis/Large_Knowledge_Bases_and_Networks_Results_on_Analogies_and_Betweenness_Centrality/10848464 Betweenness Centrality and Analogy Solver are the main themes of this Thesis Report. In the rst part we study betweenness centrality on general trees with some results regarding the relation between k-betweenness centrality and betweenness centrality. We also study complete binary trees to derive some new formulas with regards to number of shortest paths through a vertex. In the second part we provide an approach which tries to solve analogies using ConceptNet 4.0. A detailed analysis of few examples and results on the data set is also provided.