JPhys Complexity期刊第五卷亮点文章
感谢所有的作者和审稿人对JPhys Complexity期刊的支持！希望您喜欢阅读这一合集。
亮点文章
Paolo Bova, Alessandro Di Stefano and The Anh Han
Beyond the aggregated paradigm: phenology and structure in mutualistic networks
Clàudia Payrató-Borràs, Carlos Gracia-Lázaro, Laura Hernández and Yamir Moreno
Economic complexity and the sustainability transition: a review of data, methods, and literature
Bernardo Caldarola, Dario Mazzilli, Lorenzo Napolitano, Aurelio Patelli and Angelica Sbardella
Taming travel time fluctuations through adaptive stop pooling
Charlotte Lotze, Philip Marszal, Malte Schröder and Marc Timme
Identifying key products to trigger new exports: an explainable machine learning approach
Massimiliano Fessina, Giambattista Albora, Andrea Tacchella and Andrea Zaccaria
Comparing discriminating abilities of evaluation metrics in link prediction
Xinshan Jiao, Shuyan Wan, Qian Liu, Yilin Bi, Yan-Li Lee, En Xu, Dong Hao and Tao Zhou
The emergence of cooperation via Q-learning in spatial donation game
Jing Zhang, Zhihai Rong, Guozhong Zheng, Jiqiang Zhang and Li Chen
期刊介绍
- 2023年影响因子：2.6 Citescore：4.3
- JPhys Complexity是一本开放获取期刊，发表了与复杂系统和网络相关的众多领域的重要成果和前沿进展，由于这是一个跨学科的期刊，它不仅涉及物理学还涵盖了生物学、化学、环境科学、社会科学、经济学等众多学科领域。