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A Network-Level View of Author Influence

2019/11/27 by Henry Blanchette, Blanchette, Henry
Computer Science · Social Sciences · #62-06 #62-07 #62-09 #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Knowledge Management and Sharing #Social and Information Networks (cs.SI) #cs.DL #cs.SI #msc:62-06 #msc:62-07 #msc:62-09

paper · pdf · doi:10.48550/arxiv.2001.02293

9 pages, 3 figures, student paper

arxiv created 2019/11/27 · openalex publication_date 2019/11/27 · arxiv updated 2020/01/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

I compare several network-level measures of centrality to common measures of author reputation and influence (e.g. hindex, i10index), all taken over the data set of papers published in 2017 at major computer systems conferences and some controls. I hypothesize that centrality measures will correlate strongly with the reputation and influence measures. My results confirm several expected correlations and exhibit a few surprising absences of correlation. In particular, there was an absence of statistically significant correlation between degree centrality and hindex,

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