论文标题
量化科学合作中的团队化学
Quantifying team chemistry in scientific collaboration
论文作者
论文摘要
团队化学是理解协作人类行为的圣杯，但其定量理解仍然尚无定论。为了揭示团队化学在科学合作中的存在和机制，我们重建了560,689名个人科学家和1,026,196名科学家二人组的出版历史。我们确定了团队与其成员之间的能力差异，使我们能够以与先前的协作和固有随机性相抵触的方式评估团队化学反应。此外，我们的网络分析发现了一个非平凡的模块化结构，该结构使我们能够预测从未合作的科学家之间的团队化学反应。研究兴趣是团队化学的最高相关成分，它们通常被视为成功协作的关键，但是特征的多样性无法完全解释团队化学。我们的结果可能会导致通过良好的科学家的匹配来解锁协作的隐藏潜力。
Team chemistry is the holy grail of understanding collaborative human behavior, yet its quantitative understanding remains inconclusive. To reveal the presence and mechanisms of team chemistry in scientific collaboration, we reconstruct the publication histories of 560,689 individual scientists and 1,026,196 duos of scientists. We identify ability discrepancies between teams and their members, enabling us to evaluate team chemistry in a way that is robust against prior experience of collaboration and inherent randomness. Furthermore, our network analysis uncovers a nontrivial modular structure that allows us to predict team chemistry between scientists who have never collaborated before. Research interest is the highest correlated ingredient of team chemistry among six personal characteristics that have been commonly attributed as the keys to successful collaboration, yet the diversity of the characteristics cannot completely explain team chemistry. Our results may lead to unlocking the hidden potential of collaboration by the matching of well-paired scientists.
