Influence Neighbourhoods in CiteSeer: A Case Study

Author

Jeffers, John ; Horadam, Kathy J. ; Carstens, C.J. ; Rao, Akhila ; Boztas, Serdar

Author_Institution

Sch. of Math. & Geospatial Sci., RMIT Univ., Melbourne, VIC, Australia

fYear

2013

fDate

2-5 Dec. 2013

Firstpage

612

Lastpage

618

Abstract

We are interested in using purely network-based techniques to assist in matching instances across databases that can be represented as complex networks. In particular we are interested in the individuality of the influence neighbourhood of a node (the sub graph induced by its in-neighbours) in a directed network. We derive a paper citation network from the archived Cite Seer database and use this network as a case study of influence neighbourhoods. We show that papers can reliably be distinguished by their influence neighbourhoods.

Keywords

complex networks; database management systems; directed graphs; pattern matching; CiteSeer database; complex networks; directed network; instances matching; node influence neighbourhood individuality; purely network-based techniques; Context; Databases; Google; Inspection; Reliability; Visualization; XML; CiteSeer; citation network; complex networks; influence neighbourhood; information fusion; instance matching; predecessor neighbourhood; reference reconciliation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on

Conference_Location

Kyoto

Type

conf

DOI

10.1109/SITIS.2013.100

Filename

6727250