In: The European Physical Journal B, 2015, vol. 88, no. 11, p. 1-9
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In: Journal of Informetrics, 2020, vol. 14, no. 1, p. 101005
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent. We assess 17 network-based metrics by their ability to identify milestone papers and patents in three large citation datasets. We find that traditional information-retrieval evaluation...
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In: Information Sciences, 2019, vol. 488, p. 257–271
When users search online for content, they are constantly exposed to rankings. For example, web search results are presented as a ranking of relevant websites, and online bookstores often show us lists of best-selling books. While popularity-based ranking algorithms (like Google’s PageRank) have been extensively studied in previous works, we still lack a clear understanding of their...
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In: Journal of Informetrics, 2019, vol. 13, no. 2, p. 717–725
Identifying the future influential papers among the newly published ones is an important yet challenging issue in bibliometrics. As newly published papers have no or limited citation history, linear extrapolation of their citation counts—which is motivated by the well-known preferential attachment mechanism—is not applicable. We translate the recently introduced notion of discoverers to...
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In: Entropy, 2018, vol. 20, no. 10, p. 777
Real networks typically studied in various research fields—ecology and economic complexity, for example—often exhibit a nested topology, which means that the neighborhoods of high-degree nodes tend to include the neighborhoods of low-degree nodes. Focusing on nested networks, we study the problem of link prediction in complex networks, which aims at identifying likely candidates for...
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In: Physical Review E, 2018, vol. 97, no. 5, p. 052311
Complex networks are often used to represent systems that are not static but grow with time: People make new friendships, new papers are published and refer to the existing ones, and so forth. To assess the statistical significance of measurements made on such networks, we propose a randomization methodology—a time- respecting null model—that preserves both the network's degree sequence...
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In: The European Physical Journal B, 2011, vol. 79, no. 1, p. 91-98
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In: The European Physical Journal B, 2013, vol. 86, no. 6, p. 1-7
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In: The European Physical Journal B, 2009, vol. 71, no. 4, p. 565-571
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In: The European Physical Journal B, 2008, vol. 63, no. 2, p. 273-278
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