IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v152y2021ics0960077921006615.html

Contagion in simplicial complexes

Author

Listed:
  • Li, Zhaoqing
  • Deng, Zhenghong
  • Han, Zhen
  • Alfaro-Bittner, Karin
  • Barzel, Baruch
  • Boccaletti, Stefano

Abstract

The propagation of information in social, biological and technological systems represents a crucial component in their dynamic behavior. When limited to pairwise interactions, a rather firm grip is available on the relevant parameters and critical transitions of these spreading processes, most notably the pandemic transition, which indicates the conditions for the spread to cover a large fraction of the network. The challenge is that, in many relevant applications, the spread is driven by higher order relationships, in which several components undergo a group interaction. To address this, we analyze the spreading dynamics in a simplicial complex environment, designed to capture the coexistence of interactions of different orders. We find that, while pairwise interactions play a key role in the initial stages of the spread, once it gains coverage, higher order simplices take over and drive the contagion dynamics. The result is a distinctive spreading phase diagram, exhibiting a discontinuous pandemic transition, and hence offering a qualitative departure from the traditional network spreading dynamics.

Suggested Citation

  • Li, Zhaoqing & Deng, Zhenghong & Han, Zhen & Alfaro-Bittner, Karin & Barzel, Baruch & Boccaletti, Stefano, 2021. "Contagion in simplicial complexes," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
  • Handle: RePEc:eee:chsofr:v:152:y:2021:i:c:s0960077921006615
    DOI: 10.1016/j.chaos.2021.111307
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077921006615
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2021.111307?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Jacopo Grilli & György Barabás & Matthew J. Michalska-Smith & Stefano Allesina, 2017. "Higher-order interactions stabilize dynamics in competitive network models," Nature, Nature, vol. 548(7666), pages 210-213, August.
    2. Uzi Harush & Baruch Barzel, 2017. "Dynamic patterns of information flow in complex networks," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    3. Cowan, Robin & Jonard, Nicolas, 2004. "Network structure and the diffusion of knowledge," Journal of Economic Dynamics and Control, Elsevier, vol. 28(8), pages 1557-1575, June.
    4. Iacopo Iacopini & Giovanni Petri & Alain Barrat & Vito Latora, 2019. "Simplicial models of social contagion," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Leng, Hui & Zhao, Yi & Luo, Jianfeng, 2024. "Simplicial epidemic model with a threshold policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 653(C).
    2. Liu, Maoxing & Peng, Yu & Ren, Xuejie & Zhang, Juping, 2026. "Dynamical analysis of simplicial epidemic model with demographic and aware effect," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 239(C), pages 483-504.
    3. Li, Wenjie & Gu, Wenbin & Li, Jiachen & Xin, Yu & Liu, Hao & Su, Sheng & Wang, Wei, 2024. "Coevolution of non-pharmaceutical interventions and infectious disease spreading in age-structured populations," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
    4. Li, Shumei & Yang, Chun & Yao, Zhiwen, 2024. "Simplicial epidemic model with individual resource," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 647(C).
    5. Li, Tianyu & Wu, Yong & Ding, Qianming & Xie, Ying & Yu, Dong & Yang, Lijian & Jia, Ya, 2024. "Social contagion in high-order network with mutation," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    6. Jing, Ying & Wang, Youguo & Zhai, Qiqing & Chen, Wei, 2025. "Late-stage reversal of negative information diffusion driven by memory accumulation under low infection on simplicial complexes," Chaos, Solitons & Fractals, Elsevier, vol. 200(P3).
    7. Singh, Arpit & Verma, Umesh Kumar & Mishra, Ajay & Yadav, Kiran & Sharma, Amit & Varshney, Vaibhav, 2024. "Higher-order-interaction in multiplex neuronal network with electric and synaptic coupling," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    8. Zeng, Lang & Han, Lilei, 2025. "Shaping contagion with group synergy in hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    9. Fang, Fanshu & Ma, Jing & Ma, Yin-Jie & Boccaletti, Stefano, 2024. "Social contagion on higher-order networks: The effect of relationship strengths," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    10. Ma, Jinlong & Wang, Peng, 2024. "Impact of community networks with higher-order interaction on epidemic dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    11. Long, Tianjiao & Tu, Lilan & Chen, Juan & Wang, Xianjia & Guo, Yifei, 2025. "Contagion dynamics on growing simplicial complex networks via generalized degree vectors," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Federico Malizia & Santiago Lamata-Otín & Mattia Frasca & Vito Latora & Jesús Gómez-Gardeñes, 2025. "Hyperedge overlap drives explosive transitions in systems with higher-order interactions," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    2. Liu, Yihan & Tang, Ming & Zhou, Yinzuo, 2026. "The impact of high-order multi-source information verification mechanisms on propagation dynamics in multilayer high-order networks," Chaos, Solitons & Fractals, Elsevier, vol. 203(C).
    3. Luca Gallo & Lucas Lacasa & Vito Latora & Federico Battiston, 2024. "Higher-order correlations reveal complex memory in temporal hypergraphs," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    4. Zhang, Zehui & Zhu, Kangci & Wang, Fang, 2025. "Indirect information propagation model with time-delay effect on multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    5. Marta Niedostatek & Anthony Baptista & Jun Yamamoto & Jürgen Kurths & Ruben Sanchez Garcia & Ben D. MacArthur & Ginestra Bianconi, 2025. "Mining higher-order triadic interactions," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    6. Gao, Yihan & Li, Jiachen & Gao, Feng & Wang, Wei, 2026. "Coevolution of multipathogens on higher-order networks," Chaos, Solitons & Fractals, Elsevier, vol. 202(P2).
    7. Serrano, Daniel Hernández & Villarroel, Javier & Hernández-Serrano, Juan & Tocino, Ángel, 2023. "Stochastic simplicial contagion model," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    8. Zhang, Ke & Gao, Jingyu & Zhao, Haixing & Hu, Wenjun & Miao, Minmin & Zhang, Zi-Ke, 2025. "Uniform transformation and collective degree analysis on higher-order networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 666(C).
    9. Zhang, Renquan & Wei, Ting & Sun, Yifan & Pei, Sen, 2024. "Influence maximization based on simplicial contagion models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).
    10. Zhao, Dandan & Li, Runchao & Peng, Hao & Zhong, Ming & Wang, Wei, 2022. "Higher-order percolation in simplicial complexes," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    11. Luo, Ziting & Li, Shuai & Jiang, Zheng & Chen, Wei, 2025. "Social contagion models on adaptive simplicial complexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 679(C).
    12. Ma, Ning & Yu, Guang & Jin, Xin, 2024. "Dynamics of competing public sentiment contagion in social networks incorporating higher-order interactions during the dissemination of public opinion," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    13. Martina Contisciani & Federico Battiston & Caterina De Bacco, 2022. "Inference of hyperedges and overlapping communities in hypergraphs," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    14. Lv, Xijian & Fan, Dongmei & Yang, Junxian & Li, Qiang & Zhou, Li, 2024. "Delay differential equation modeling of social contagion with higher-order interactions," Applied Mathematics and Computation, Elsevier, vol. 466(C).
    15. Peng, Hao & Zhao, Yifan & Zhao, Dandan & Zhong, Ming & Hu, Zhaolong & Han, Jianming & Li, Runchao & Wang, Wei, 2023. "Robustness of higher-order interdependent networks," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    16. Hu, Xin & Wang, Zhishuang & Sun, Qingyi & Chen, Jiaxing & Zhao, Dawei & Xia, Chengyi, 2024. "Coupled propagation between one communicable disease and related two types of information on multiplex networks with simplicial complexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).
    17. Zeng, Lang & Han, Lilei, 2025. "Shaping contagion with group synergy in hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
    18. Dai, X. & Kovalenko, K. & Molodyk, M. & Wang, Z. & Li, X. & Musatov, D. & Raigorodskii, A.M. & Alfaro-Bittner, K. & Cooper, G.D. & Bianconi, G. & Boccaletti, S., 2021. "D-dimensional oscillators in simplicial structures: Odd and even dimensions display different synchronization scenarios," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    19. Dorchain, Marie & Segnou, Wilfried & Muolo, Riccardo & Carletti, Timoteo, 2024. "Impact of directionality on the emergence of Turing patterns on m-directed higher-order structures," Chaos, Solitons & Fractals, Elsevier, vol. 189(P2).
    20. Fariello, Ricardo & de Aguiar, Marcus A.M., 2024. "Third order interactions shift the critical coupling in multidimensional Kuramoto models," Chaos, Solitons & Fractals, Elsevier, vol. 187(C).

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:152:y:2021:i:c:s0960077921006615. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.