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Figure 5 | EPJ Data Science

Figure 5

From: Charting mobility patterns in the scientific knowledge landscape

Figure 5

Characteristics of explorers. We compute a logistic regression of a binary variable y indicating whether an individual is an explorer (\(y=1\)) or an exploiter (\(y=0\)), for different characteristics of the researchers. For each attribute (further defined in Methods), we show the estimate and 95% confidence interval of the standardized coefficient of the regression, controlling for the number of articles and the main field of interest of the researcher. The differences between the two classes are all significant with p-values smaller than 0.05, except for citations and productivity which are non-significant (\(p>0.05\)). Repeat locations correspond to the proportion of jumps of size 0. Multidisciplinarity is the total number of unique field tags used across articles, and interdisciplinarity is the average number of field tags per article. Cognitive distance is the maximum disciplinary distance spanned by the researcher, and Field age is the minimum normalized age of the fields across articles published by a researcher, both quantities being defined in [48]. MSD denotes the maximum mean square displacement achieved through the career of researchers. Disruptiveness is the maximum percentile of disruptive index achieved by researchers across their articles, when compared to the whole of arXiv. Citations correspond to the logarithm of the maximum number of citations received by the articles of the researcher, and PageRank is the logarithm of the maximum PageRank value of a researcher articles in the citation network. Finally productivity is the average yearly number of articles of the researcher

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