论文标题
作者影响力的网络级别的观点
A Network-Level View of Author Influence
论文作者
论文摘要
我将几种网络级别的中心度度量与作者声誉和影响力的共同度量（例如Hindex，i10Index）进行了比较，所有这些措施都占据了2017年在主要的计算机系统会议和一些控件上发表的论文数据集。我假设中心度度量将与声誉和影响措施密切相关。我的结果证实了一些预期的相关性，并表现出一些令人惊讶的相关性。特别是，程度中心性与Hindex之间没有统计学上的显着相关性，
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,
