In-depth analysis of large-scale citation networksSpeaker: Animesh Mukherjee – Kharagpur, India
Topic(s): Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science
AbstractIn this talk I shall present an overview of our five years long research initiative in citation networks. The investigation is in the context of the computer science domain further sub-divided into its constituent fields (e.g., AI, ALGO, NETW, ML, IR etc.). Out of a number of things, I shall mainly focus on five issues -- (a) impact of ancient papers, their obsolescence and the concept of citation relays (b) the evolutionary landscape of the CS fields; (c) long-time characteristics of the scientific citation profiles and accurate prediction of future citation counts and (d) formation of co-authorship circles (e) information extraction from scientific documents.
About this LectureNumber of Slides: 60 - 65
Duration: 150 minutes
Languages Available: English
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