{"type":"ScholarlyArticle","title":"Online Egocentric Models for Citation Networks","authors":[{"name":"Hao Wang","slug":"hao-wang","given":"Hao","family":"Wang","affiliation":""},{"name":"Wu-Jun Li","slug":"wu-jun-li","given":"Wu-Jun","family":"Li","affiliation":""}],"abstract":"With the emergence of large-scale evolving (time-varying)networks, dynamic network analysis (DNA) has become a very hot research topic in recent years. Although a lot of DNA methods have been proposed by researchers from different communities, most of them can only model snapshot data recorded at a very rough temporal granularity. Recently, some models have been proposed for DNA which can be used to model large-scale citation networks at a fine temporal granularity. However, they suffer from a significant decrease of accuracy over time because the learned parameters or node features are static (fixed) during the prediction process for evolving citation networks. In this paper, we propose a novel model,called online egocentric model (OEM), to learn time-varying parameters and node features for evolving citation networks. Experimental results on real-world citation networks show that our OEM can not only prevent the prediction accuracy from decreasing over time but also uncover the evolution of topics in citation networks.","doi":null,"url":"https://ijcai.org/proceedings/2013/401","pdf":"https://ijcai.org/proceedings/2013/0401.pdf","markdown":"https://ijcai.org/proceedings/2013/401.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/401","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":401,"pages":{"first":2726,"last":2731},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}