Simplicial SIS model in scale-free uniform hypergraph

The hypergraph offers a platform to study structural properties emerging from more complicated and higher-order than pairwise interactions among constituents and dynamical behavior such as the spread of information or disease. Recently, a simplicial contagion problem was introduced and considered using a simplicial susceptible-infected-susceptible (SIS) model. Although recent studies have investigated random hypergraphs with a Poisson-type facet degree distribution, hypergraphs in the real world can have a power-law type of facet degree distribution. Here, we consider the SIS contagion problem on scale-free uniform hypergraphs and find that a continuous or hybrid epidemic transition occurs when the hub effect is dominant or weak, respectively. We determine the critical exponents analytically and numerically. We discuss the underlying mechanism of the hybrid epidemic transition.

[1]  Mark S. Granovetter Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[2]  Yunjie Calvin Xu,et al.  AIS Electronic Library (AISeL) , 2022 .

[3]  Alessandro Vespignani,et al.  Epidemic dynamics and endemic states in complex networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Alexei Vazquez,et al.  Population stratification using a statistical model on hypergraphs , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  R. Dickman,et al.  Nonequilibrium Phase Transitions in Lattice Models , 1999 .

[6]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[7]  D Bollé,et al.  Thermodynamics of spin systems on small-world hypergraphs. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  E. Nsoesie,et al.  A systematic review of studies on forecasting the dynamics of influenza outbreaks , 2013, Influenza and other respiratory viruses.

[9]  B Kahng,et al.  Sandpile on scale-free networks. , 2003, Physical review letters.

[10]  Vito Latora,et al.  Simplicial models of social contagion , 2018, Nature Communications.

[11]  Bung-Nyun Kim,et al.  Persistent Brain Network Homology From the Perspective of Dendrogram , 2012, IEEE Transactions on Medical Imaging.

[12]  Ernesto Estrada,et al.  Centralities in Simplicial Complexes , 2017, ArXiv.

[13]  L. Meyers,et al.  Epidemic thresholds in dynamic contact networks , 2009, Journal of The Royal Society Interface.

[14]  Kwang-Il Goh,et al.  Packet transport along the shortest pathways in scale-free networks , 2004 .

[15]  Ernesto Estrada,et al.  Centralities in Simplicial Complexes , 2017, Journal of theoretical biology.

[16]  Ginestra Bianconi,et al.  Generalized network structures: The configuration model and the canonical ensemble of simplicial complexes. , 2016, Physical review. E.

[17]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[18]  D. Watts,et al.  Influentials, Networks, and Public Opinion Formation , 2007 .

[19]  Thomas W. Valente Network models of the diffusion of innovations , 1996, Comput. Math. Organ. Theory.

[20]  B Kahng,et al.  Spin-glass phase transition on scale-free networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  Diana Crane,et al.  Diffusion Models and Fashion: A Reassessment , 1999 .

[22]  K. Goh,et al.  Universal behavior of load distribution in scale-free networks. , 2001, Physical review letters.

[23]  K. Provan,et al.  Interorganizational Networks at the Network Level: A Review of the Empirical Literature on Whole Networks , 2007 .

[24]  Chuang Liu,et al.  A hypergraph model of social tagging networks , 2010, ArXiv.

[25]  Guido Caldarelli,et al.  Random hypergraphs and their applications , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  Romualdo Pastor-Satorras,et al.  Quasistationary analysis of the contact process on annealed scale-free networks. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  Guido Caldarelli,et al.  Hypergraph topological quantities for tagged social networks , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  J. Coleman,et al.  Medical Innovation: A Diffusion Study. , 1967 .

[29]  Deokjae Lee,et al.  Mixed-order phase transition in a two-step contagion model with a single infectious seed. , 2016, Physical review. E.

[30]  M. Sarvary,et al.  Network Effects and Personal Influences: The Diffusion of an Online Social Network , 2011 .

[31]  Olaf Stenull,et al.  Generalized epidemic process and tricritical dynamic percolation. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  Ram Ramanathan,et al.  Generative Models for Global Collaboration Relationships , 2016, Scientific Reports.

[33]  Ha Hoang,et al.  Network-based research in entrepreneurship A critical review , 2003 .

[34]  D Bollé,et al.  Small-world hypergraphs on a bond-disordered Bethe lattice. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  Kwang-Il Goh,et al.  Scale-free random graphs and Potts model , 2005 .

[36]  E. Rogers A Prospective and Retrospective Look at the Diffusion Model , 2004, Journal of health communication.

[37]  A. Grabowski,et al.  Ising-based model of opinion formation in a complex network of interpersonal interactions , 2006 .

[38]  Camille Roth,et al.  Academic team formation as evolving hypergraphs , 2010, Scientometrics.

[39]  P. Leath,et al.  Bootstrap percolation on a Bethe lattice , 1979 .

[40]  Critical behavior of the XY model on static scale-free networks , 2008 .

[41]  Jianping Li,et al.  A geometric graph model for coauthorship networks , 2016, J. Informetrics.

[42]  Piet Van Mieghem,et al.  Epidemic processes in complex networks , 2014, ArXiv.

[43]  S. Lübeck,et al.  UNIVERSAL SCALING BEHAVIOR OF NON-EQUILIBRIUM PHASE TRANSITIONS , 2004 .

[44]  Duncan J Watts,et al.  A simple model of global cascades on random networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[45]  J S MACDONALD,et al.  CHAIN MIGRATION, ETHNIC NEIGHBORHOOD FORMATION AND SOCIAL NETWORKS. , 1964, The Milbank Memorial Fund quarterly.

[46]  Sang Hoon Lee,et al.  Critical behavior of the Ising model in annealed scale-free networks. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[47]  Romualdo Pastor-Satorras,et al.  Epidemic thresholds of the Susceptible-Infected-Susceptible model on networks: A comparison of numerical and theoretical results , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[48]  Alice Patania,et al.  The shape of collaborations , 2017, EPJ Data Science.

[49]  D. Owen Handbook of Mathematical Functions with Formulas , 1965 .

[50]  Danielle S. Bassett,et al.  Knowledge gaps in the early growth of semantic feature networks , 2018, Nature Human Behaviour.

[51]  R. Pastor-Satorras,et al.  Routes to thermodynamic limit on scale-free networks. , 2007, Physical review letters.

[52]  Y. Moreno,et al.  Epidemic outbreaks in complex heterogeneous networks , 2001, cond-mat/0107267.

[53]  Sang Hoon Lee,et al.  Random field Ising model on networks with inhomogeneous connections. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[54]  Asuman E. Ozdaglar,et al.  Opinion Fluctuations and Disagreement in Social Networks , 2010, Math. Oper. Res..

[55]  Steffen Klamt,et al.  Hypergraphs and Cellular Networks , 2009, PLoS Comput. Biol..

[56]  C. Heath,et al.  Emotional Selection in Memes : The Case of Urban Legends Chip Heath , 2004 .

[57]  Alessandro Vespignani,et al.  Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm , 2012, BMC Medicine.

[58]  S. Borgatti,et al.  The Network Paradigm in Organizational Research: A Review and Typology , 2003 .

[59]  B. Kahng,et al.  Intrinsic degree-correlations in the static model of scale-free networks , 2006 .

[60]  H. Yi Quantum fluctuations in a scale-free network-connected Ising system , 2008 .

[61]  V. Latora,et al.  Complex networks: Structure and dynamics , 2006 .

[62]  G. Petri,et al.  Homological scaffolds of brain functional networks , 2014, Journal of The Royal Society Interface.

[63]  E. Rogers,et al.  COMPLEX ADAPTIVE SYSTEMS AND THE DIFFUSION OF INNOVATIONS , 2005 .