* [60] David Moher, Larissa Shamseer, Mike Clarke, Davina Ghersi, Alessandro Liberati, Mark Petticrew, Paul Shekelle, and Lesley A Stewart.  Preferred reporting items for systematic review and meta-analysis protocols (prisma-p) 2015 statement.  Systematic reviews, 4(1):1, 2015.
  * [61] Xuetao Wei, Nicholas C Valler, B Aditya Prakash, Iulian Neamtiu, Michalis Faloutsos, and Christos Faloutsos.  Competing memes propagation on networks: A network science perspective.  IEEE Journal on Selected Areas in Communications, 31(6):1049–1060, 2013.
  * [62] Xuetao Wei, Nicholas Valler, B Aditya Prakash, Iulian Neamtiu, Michalis Faloutsos, and Christos Faloutsos.  Competing memes propagation on networks: a case study of composite networks.  ACM SIGCOMM Computer Communication Review, 42(5):5–12, 2012.
  * [63] Marialisa Scatà, Alessandro Di Stefano, Aurelio La Corte, and Pietro Liò.  Quantifying the propagation of distress and mental disorders in social networks.  Scientific reports, 8(1):5005, 2018.
  * [64] Quantong Guo, Yanjun Lei, Chengyi Xia, Lu Guo, Xin Jiang, and Zhiming Zheng.  The role of node heterogeneity in the coupled spreading of epidemics and awareness.  PloS one, 11(8):e0161037, 2016.
  * [65] Huijuan Wang, Chuyi Chen, Bo Qu, Daqing Li, and Shlomo Havlin.  Epidemic mitigation via awareness propagation in communication networks: the role of time scales.  New Journal of Physics, 19(7):073039, 2017.
  * [66] Faryad Darabi Sahneh and Caterina Scoglio.  Competitive epidemic spreading over arbitrary multilayer networks.  Physical Review E, 89(6):062817, 2014.
  * [67] Petar Jovanovski, Igor Tomovski, and Ljupco Kocarev.  Modeling the spread of multiple contagions on multilayer networks.  arXiv preprint arXiv:1703.02906, 2017.
  * [68] Michael M Danziger, Ivan Bonamassa, Stefano Boccaletti, and Shlomo Havlin.  Dynamic interdependence and competition in multilayer networks.  arXiv preprint arXiv:1705.00241, 2017.
  * [69] Nicholas J Watkins, Cameron Nowzari, Victor M Preciado, and George J Pappas.  Optimal resource allocation for competitive spreading processes on bilayer networks.  IEEE Transactions on Control of Network Systems, 2016.
  * [70] Shenyu Zhou, Shuangdie Xu, Lin Wang, Zhixin Liu, Guanrong Chen, and Xiaofan Wang.  Propagation of interacting diseases on multilayer networks.  Physical Review E, 98(1):012303, 2018.
  * [71] Qingchu Wu and Gaoxi Xiao.  A colored mean-field model for analyzing the effects of awareness on epidemic spreading in multiplex networks.  Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(10):103116, 2018.
  * [72] Vincent Marceau, Pierre-André Noël, Laurent Hébert-Dufresne, Antoine Allard, and Louis J Dubé.  Modeling the dynamical interaction between epidemics on overlay networks.  Physical Review E, 84(2):026105, 2011.
  * [73] Joaquín Sanz, Cheng-Yi Xia, Sandro Meloni, and Yamir Moreno.  Dynamics of interacting diseases.  Physical Review X, 4(4):041005, 2014.
  * [74] Faryad Darabi Sahneh and Caterina Scoglio.  May the best meme win!: New exploration of competitive epidemic spreading over arbitrary multi-layer networks.  arXiv preprint arXiv:1308.4880, 2013.
  * [75] N Azimi-Tafreshi.  Cooperative epidemics on multiplex networks.  Physical Review E, 93(4):042303, 2016.
  * [76] Weihong Wang, MingMing Chen, Yong Min, and Xiaogang Jin.  Structural diversity effects of multilayer networks on the threshold of interacting epidemics.  Physica A: Statistical Mechanics and its Applications, 443:254–262, 2016.
  * [77] Xiang Wei, Shihua Chen, Xiaoqun Wu, Jianwen Feng, and Jun-an Lu.  A unified framework of interplay between two spreading processes in multiplex networks.  EPL (Europhysics Letters), 114(2):26006, 2016.
  * [78] Xiang Wei, Xiaoqun Wu, Shihua Chen, Jun-an Lu, and Guanrong Chen.  Cooperative epidemic spreading on a two-layered interconnected network.  SIAM Journal on Applied Dynamical Systems, 17(2):1503–1520, 2018\.
  * [79] Shenyu Zhou, Shuyang Shi, and Lin Wang.  Immunizations of interacting diseases.  In 2018 37th Chinese Control Conference (CCC), pages 9686–9691. IEEE, 2018.
  * [80] Clara Granell, Sergio Gómez, and Alex Arenas.  Competing spreading processes on multiplex networks: awareness and epidemics.  Physical review E, 90(1):012808, 2014.
  * [81] David Juher and Joan Saldaña.  Tuning the overlap and the cross-layer correlations in two-layer networks: Application to a susceptible-infectious-recovered model with awareness dissemination.  Physical Review E, 97(3):032303, 2018.
  * [82] Chong-jun Fan, Yang Jin, Liang-an Huo, Chen Liu, Yun-peng Yang, and Ya-qiong Wang.  Effect of individual behavior on the interplay between awareness and disease spreading in multiplex networks.  Physica A: Statistical Mechanics and its Applications, 461:523–530, 2016.
  * [83] Quantong Guo, Yanjun Lei, Xin Jiang, Yifang Ma, Guanying Huo, and Zhiming Zheng.  Epidemic spreading with activity-driven awareness diffusion on multiplex network.  Chaos: An Interdisciplinary Journal of Nonlinear Science, 26(4):043110, 2016.
  * [84] Quanhui Liu, Xiaolong Chen, and Wei Wang.  Degree-correlaed vaccination in aymmetric interacting spreading dynamics.  In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), pages 360–364. IEEE, 2017\.
  * [85] Quan-Hui Liu, Wei Wang, Ming Tang, and Hai-Feng Zhang.  Impacts of complex behavioral responses on asymmetric interacting spreading dynamics in multiplex networks.  Scientific reports, 6:25617, 2016.
  * [86] Jia-Qian Kan and Hai-Feng Zhang.  Effects of awareness diffusion and self-initiated awareness behavior on epidemic spreading-an approach based on multiplex networks.  Communications in Nonlinear Science and Numerical Simulation, 44:193–203, 2017.
  * [87] Sebastian Funk and Vincent AA Jansen.  Interacting epidemics on overlay networks.  Physical Review E, 81(3):036118, 2010.
  * [88] Clara Granell, Sergio Gómez, and Alex Arenas.  Dynamical interplay between awareness and epidemic spreading in multiplex networks.  Physical review letters, 111(12):128701, 2013.
  * [89] Agnieszka Czaplicka, Raul Toral, and Maxi San Miguel.  Competition of simple and complex adoption on interdependent networks.  Physical Review E, 94(6):062301, 2016.
  * [90] Wei Wang, Ming Tang, Hui Yang, Younghae Do, Ying-Cheng Lai, and GyuWon Lee.  Asymmetrically interacting spreading dynamics on complex layered networks.  arXiv preprint arXiv:1405.1905, 2014.
  * [91] Fátima Velásquez-Rojas and Federico Vazquez.  Interacting opinion and disease dynamics in multiplex networks: discontinuous phase transition and nonmonotonic consensus times.  Physical Review E, 95(5):052315, 2017.
  * [92] Wei Wang, Quan-Hui Liu, Shi-Min Cai, Ming Tang, Lidia A Braunstein, and H Eugene Stanley.  Suppressing disease spreading by using information diffusion on multiplex networks.  Scientific reports, 6:29259, 2016.
  * [93] Marialisa Scatà, Alessandro Di Stefano, Pietro Liò, and Aurelio La Corte.  The impact of heterogeneity and awareness in modeling epidemic spreading on multiplex networks.  Scientific reports, 6:37105, 2016.
  * [94] Vincenzo Nicosia, Per Sebastian Skardal, Alex Arenas, and Vito Latora.  Collective phenomena emerging from the interactions between dynamical processes in multiplex networks.  Physical review letters, 118(13):138302, 2017.
  * [95] Xiaoyu Nie, Ming Tang, Yong Zou, Shuguang Guan, and Jie Zhou.  The impact of heterogeneous response on coupled spreading dynamics in multiplex networks.  Physica A: Statistical Mechanics and its Applications, 484:225–232, 2017.
  * [96] Yaohui Pan and Zhijun Yan.  The impact of multiple information on coupled awareness-epidemic dynamics in multiplex networks.  Physica A: Statistical Mechanics and its Applications, 491:45–54, 2018.
  * [97] Yaohui Pan and Zhijun Yan.  The impact of individual heterogeneity on the coupled awareness-epidemic dynamics in multiplex networks.  Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(6):063123, 2018.
  * [98] Chengyi Xia, Zhishuang Wang, Chunyuan Zheng, Quantong Guo, Yongtang Shi, Matthias Dehmer, and Zengqiang Chen.  A new coupled disease-awareness spreading model with mass media on multiplex networks.  Information Sciences, 471:185–200, 2019.
  * [99] Changlun Zhang, Nan Ning, Zhanyong Jin, and Jian Zhang.  An epidemic spreading model on the adaptive dual networks.  IOSR Journal Of Humanities And Social Science, 22(5):54–63, 2017\.
  * [100] Ting Liu, Ping Li, Yan Chen, and Jie Zhang.  Community size effects on epidemic spreading in multiplex social networks.  PloS one, 11(3):e0152021, 2016.
  * [101] Changlun Zhang, Xiuxiu Sun, and Nan Ning.  A new dual network generating algorithm for epidemic.  In Proceedings of the 2018 International Conference on Data Science and Information Technology, pages 116–121. ACM, 2018.
  * [102] Hui Yang.  Impact of network overlapping on dynamical interplay between information and epidemics.  In Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016 12th International Conference on, pages 316–320. IEEE, 2016\.
  * [103] Bo Gao, Zhenghong Deng, and Dawei Zhao.  Competing spreading processes and immunization in multiplex networks.  Chaos, Solitons & Fractals, 93:175–181, 2016.
  * [104] Chao Gao, Shaoting Tang, Weihua Li, Yaqian Yang, and Zhiming Zheng.  Dynamical processes and epidemic threshold on nonlinear coupled multiplex networks.  Physica A: Statistical Mechanics and its Applications, 496:330–338, 2018.
  * [105] Yu-Jhe Huang, Jonq Juang, Yu-Hao Liang, and Hsin-Yu Wang.  Global stability for epidemic models on multiplex networks.  Journal of mathematical biology, 76(6):1339–1356, 2018.
  * [106] Haijuan Zang.  The effects of global awareness on the spreading of epidemics in multiplex networks.  Physica A: Statistical Mechanics and its Applications, 492:1495–1506, 2018.
  * [107] Yinzuo Zhou.  Numerical study of the effective degree theory on two-layered complex networks.  In Industrial Electronics Society, IECON 2017-43rd Annual Conference of the IEEE, pages 5912–5917. IEEE, 2017.
  * [108] Emanuele Massaro and Franco Bagnoli.  Epidemic spreading and risk perception in multiplex networks: a self-organized percolation method.  Physical Review E, 90(5):052817, 2014.
  * [109] Xiaolong Chen, Wei Wang, Shimin Cai, H Eugene Stanley, and Lidia A Braunstein.  Optimal resource diffusion for suppressing disease spreading in multiplex networks.  Journal of Statistical Mechanics: Theory and Experiment, 2018(5):053501, 2018.
  * [110] Chunyuan Zheng, Chengyi Xia, Quantong Guo, and Matthias Dehmer.  Interplay between sir-based disease spreading and awareness diffusion on multiplex networks.  Journal of Parallel and Distributed Computing, 115:20–28, 2018\.
  * [111] Vikram Sagar, Yi Zhao, and Abhijit Sen.  Effect of time varying transmission rates on coupled dynamics of epidemic and awareness over multiplex network.  Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(11):113125, 2018.
  * [112] Quantong Guo, Xin Jiang, Yanjun Lei, Meng Li, Yifang Ma, and Zhiming Zheng.  Two-stage effects of awareness cascade on epidemic spreading in multiplex networks.  Physical Review E, 91(1):012822, 2015.
  * [113] Ken TD Eames.  Networks of influence and infection: parental choices and childhood disease.  Journal of The Royal Society Interface, 6(38):811–814, 2009.
  * [114] Weiyu Li, Lixin Tian, and Humera Batool.  Impact of negative information diffusion on green behavior adoption.  Resources, Conservation and Recycling, 136:337–344, 2018.
  * [115] Lucila G Alvarez-Zuzek, Cristian E La Rocca, Federico Vazquez, and Lidia A Braunstein.  Interacting social processes on interconnected networks.  PloS one, 11(9):e0163593, 2016.
  * [116] Ho-Chun Herbert Chang and Feng Fu.  Co-diffusion of social contagions.  New Journal of Physics, 20(9):095001, 2018.
  * [117] Mikko Kivelä, Alex Arenas, Marc Barthelemy, James P Gleeson, Yamir Moreno, and Mason A Porter.  Multilayer networks.  Journal of complex networks, 2(3):203–271, 2014.
  * [118] Mark E Dickison, Matteo Magnani, and Luca Rossi.  Multilayer social networks.  Cambridge University Press, 2016.
  * [119] Jarosław Jankowski, Radosław Michalski, and Piotr Bródka.  A multilayer network dataset of interaction and influence spreading in a virtual world.  Scientific data, 4:170144, 2017.
  * [120] Eunjoon Cho, Seth A Myers, and Jure Leskovec.  Friendship and mobility: user movement in location-based social networks.  In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 1082–1090. ACM, 2011.
  * [121] Chris Stark, Bobby-Joe Breitkreutz, Teresa Reguly, Lorrie Boucher, Ashton Breitkreutz, and Mike Tyers.  Biogrid: a general repository for interaction datasets.  Nucleic acids research, 34(suppl_1):D535–D539, 2006.
  * [122] Pete Burnap, Walter Colombo, and Jonathan Scourfield.  Machine classification and analysis of suicide-related communication on twitter.  In Proceedings of the 26th ACM conference on hypertext & social media, pages 75–84. ACM, 2015.
  * [123] Alessandra Sala, Lili Cao, Christo Wilson, Robert Zablit, Haitao Zheng, and Ben Y Zhao.  Measurement-calibrated graph models for social network experiments.  In Proceedings of the 19th international conference on World wide web, pages 861–870. ACM, 2010.
  * [124] Piotr Bródka, Anna Chmiel, Matteo Magnani, and Giancarlo Ragozini.  Quantifying layer similarity in multiplex networks: a systematic study.  Royal Society Open Science, 5(8):171747, 2018.
  * [125] Anna Saumell-Mendiola, M Ángeles Serrano, and Marián Boguná.  Epidemic spreading on interconnected networks.  Physical Review E, 86(2):026106, 2012.
  * [126] Cunlai Pu, Siyuan Li, and Jian Yang.  Epidemic spreading driven by biased random walks.  Physica A: Statistical Mechanics and its Applications, 432:230–239, 2015.
  * [127] Wei Chen, Yifei Yuan, and Li Zhang.  Scalable influence maximization in social networks under the linear threshold model.  In 2010 IEEE international conference on data mining, pages 88–97. IEEE, 2010.
  * [128] David Kempe, Jon Kleinberg, and Éva Tardos.  Influential nodes in a diffusion model for social networks.  In International Colloquium on Automata, Languages, and Programming, pages 1127–1138. Springer, 2005.
  * [129] Katarzyna Sznajd-Weron and Jozef Sznajd.  Opinion evolution in closed community.  International Journal of Modern Physics C, 11(06):1157–1165, 2000\.