New J. Phys. 20 (2018) 075005 https://doi.org/10.1088/1367-2630/aad140 PAPER Doubly effects of information sharing on interdependent network OPEN ACCESS reciprocity RECEIVED 31 May 2018 Chengyi Xia1,2, Xiaopeng Li1,2, Zhen Wang3 and Matjaž Perc4,5,6 REVISED 1 Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384, 2 July 2018 Peopleʼs Republic of China ACCEPTED FOR PUBLICATION 2 Key Laboratory of Computer Vision and System (Ministry of Education), Tianjin University of Technology, Tianjin 300384, Peopleʼs 5 July 2018 Republic of China PUBLISHED 3 School of Mechanical Engineering and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical 17 July 2018 University, Xi’an 710072, Peopleʼs Republic of China 4 Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, SI-2000 Maribor, Slovenia Original content from this 5 CAMTP—Center for Applied Mathematics and Theoretical Physics, University of Maribor, Mladinska 3, SI-2000 Maribor, Slovenia work may be used under 6 School of Electronic and Information Engineering, Beihang University, Beijing 100191, Peopleʼs Republic of China the terms of the Creative Commons Attribution 3.0 E-mail:
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[email protected] licence. Any further distribution of Keywords: cooperation, evolutionary games, Monte Carlo method, multilayer network, interdependent network reciprocity this work must maintain attribution to the author(s) and the title of the work, journal citation Abstract and DOI. Understanding large-scale cooperation among unrelated individuals is one of the greatest challenges of the 21st century. Since human cooperation evolves on social networks, the theoretical framework of multilayer networks is perfectly suited for studying this fascinating aspect of our biology.