IAR Seminar Series: Hao Peng
3330 North Quad
A quantitative framework for revealing disciplinary organizations of science
Abstract: Quantitative measurement is the cornerstone of scientific advancement. Here we present a framework for facilitating quantitative inquires about scientific disciplines. We adapt a popular word embedding technique to the data of scholarly citation trails among 53 million scientific papers to learn continuous vector-space representation of scientific venues. We obtain a high dimensional map of science from the learnt embeddings. Our map reveals the disciplinary organizations of science as exemplified in the direction and the spectrum of science by allowing arithmetic operations between venue vectors. Vector representations of scientific venues also facilitate downstream applications such as recommending similar venues and predicting discipline categories.
Speaker Bio: Hao Peng is a Ph.D. student in the School of Information, advised by Daniel Romero and Ceren Budak. Previously, he worked with Yong-Yeol Ahn and Filippo Menczer at the Center for Complex Networks and Systems Research at Indiana University Bloomington. He was a research assistant in the World Well-Being Project at University of Pennsylvania. Hao Peng received his B.S. in Information Management & System from Sun Yat-sen University in 2015. His research interests include Computational Social Science, Social Network Analysis and Natural Language Processing.