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Social Complex System | Complex network | Collective Intelligence Papers

1 Network Modeling and Analysis

1.1 Pairwise Network

1.2 Higher-order Network

[1] Han Z, Liu L, Wang X, et al. "Probabilistic activity driven model of temporal simplicial networks and its application on higher-order dynamics[J]". Chaos: An Interdisciplinary Journal of Nonlinear Science, 2024, 34(2). [html]

[2] Di Gaetano L, Battiston F, Starnini M. "Percolation and topological properties of temporal higher-order networks[J]". Physical Review Letters, 2024, 132(3): 037401. [html]

1.3 Multiplex Networks and Metapopulations Networks

[1] De Domenico M, Solé-Ribalta A, Cozzo E, et al. "Mathematical formulation of multilayer networks[J]". Physical Review X, 2013, 3(4): 041022. [html]

2 Contagion Dynamics

2.1 Review

[1] Berner R, Gross T, Kuehn C, et al. "Adaptive dynamical networks[J]". Physics Reports, 2023, 1031: 1-59. [html]

[2] Ferraz de Arruda G, Aleta A, Moreno Y. "Contagion dynamics on higher-order networks[J]". Nature Reviews Physics, 2024: 1-15. [html]

[3] de Arruda G F, Rodrigues F A, Moreno Y. "Fundamentals of spreading processes in single and multilayer complex networks[J]". Physics Reports, 2018, 756: 1-59. [html]

2.2 Empirical Study

[1] Del Vicario M, Bessi A, Zollo F, et al. "The spreading of misinformation online[J]". Proceedings of the national academy of Sciences, 2016, 113(3): 554-559. [html]

2.3 Dynamics on Multiplex Networks and Metapopulations

[1] Colizza V, Pastor-Satorras R, Vespignani A. "Reaction–diffusion processes and metapopulation models in heterogeneous networks[J]". Nature Physics, 2007, 3(4): 276-282. [html]

[2] Colizza V, Vespignani A. "Invasion threshold in heterogeneous metapopulation networks[J]". Physical review letters, 2007, 99(14): 148701. [html]

[3] Gomez S, Diaz-Guilera A, Gomez-Gardenes J, et al. "Diffusion dynamics on multiplex networks[J]". Physical review letters, 2013, 110(2): 028701. [html]

[4] Granell C, Gómez S, Arenas A. "Dynamical interplay between awareness and epidemic spreading in multiplex networks[J]". Physical review letters, 2013, 111(12): 128701. [html]

[5] Soriano-Paños D, Lotero L, Arenas A, et al. "Spreading processes in multiplex metapopulations containing different mobility networks[J]". Physical Review X, 2018, 8(3): 031039. [pdf]

[6] Patwardhan S, Rao V K, Fortunato S, et al. "Epidemic spreading in group-structured populations[J]". Physical Review X, 2023, 13(4): 041054. [html]

[7] Chen J, Zhang Y, Xu Y, et al. "An epidemic spread model with nonlinear recovery rates on meta-population networks[J]". Nonlinear Dynamics, 2024: 1-15. [html]

[8] Davis J T, Perra N, Zhang Q, et al. "Phase transitions in information spreading on structured populations[J]". Nature physics, 2020, 16(5): 590-596. [html]

[9] Vespignani A. "Modelling dynamical processes in complex socio-technical systems[J]". Nature physics, 2012, 8(1): 32-39. [html]

2.4 Dynamics on time-varying Networks

[1] Zino L, Rizzo A, Porfiri M. "Continuous-time discrete-distribution theory for activity-driven networks[J]". Physical review letters, 2016, 117(22): 228302. [html]

[2] Liu S, Perra N, Karsai M, et al. "Controlling contagion processes in activity driven networks[J]". Physical review letters, 2014, 112(11): 118702. [html]

[3] Pozzana I, Sun K, Perra N. "Epidemic spreading on activity-driven networks with attractiveness[J]". Physical Review E, 2017, 96(4): 042310. [html]

[4] Valdano E, Ferreri L, Poletto C, et al. "Analytical computation of the epidemic threshold on temporal networks[J]". Physical Review X, 2015, 5(2): 021005. [html]

[5] Valdano E, Fiorentin M R, Poletto C, et al. "Epidemic threshold in continuous-time evolving networks[J]". Physical review letters, 2018, 120(6): 068302. [html]

[6] Mancastroppa M, Burioni R, Colizza V, et al. "Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks[J]". Physical Review E, 2020, 102(2): 020301. [html]

2.5 Higher-order Dynamics

[1] Iacopini I, Petri G, Barrat A, et al. "Simplicial models of social contagion[J]". Nature communications, 2019, 10(1): 2485. [html]

[2] Jhun B. "Effective epidemic containment strategy in hypergraphs[J]". Physical Review Research, 2021, 3(3): 033282. [html]

[3] Iacopini I, Karsai M, Barrat A. "The temporal dynamics of group interactions in higher-order social networks[J]". Nature Communications, 2024, 15(1): 7391. [html]

[4] Lin Z, Han L, Feng M, et al. "Higher-order non-Markovian social contagions in simplicial complexes[J]". Communications Physics, 2024, 7(1): 175. [html]

[5] Ferraz de Arruda G, Petri G, Rodriguez P M, et al. "Multistability, intermittency, and hybrid transitions in social contagion models on hypergraphs[J]". Nature communications, 2023, 14(1): 1375. [html]

[6] Jhun B, Jo M, Kahng B. "Simplicial SIS model in scale-free uniform hypergraph[J]". Journal of Statistical Mechanics: Theory and Experiment, 2019, 2019(12): 123207. [html]

[7] Cencetti G, Contreras D A, Mancastroppa M, et al. "Distinguishing simple and complex contagion processes on networks[J]". Physical Review Letters, 2023, 130(24): 247401. [html]

[8] Landry N W, Restrepo J G. "The effect of heterogeneity on hypergraph contagion models[J]". Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020, 30(10). [html]

[9] Chen Y, Gel Y R, Marathe M V, et al. "A simplicial epidemic model for COVID-19 spread analysis[J]". Proceedings of the National Academy of Sciences, 2024, 121(1): e2313171120. [html]

[10] de Arruda G F, Petri G, Moreno Y. "Social contagion models on hypergraphs[J]". Physical Review Research, 2020, 2(2): 023032. [html]

[11] Burgio G, Gómez S, Arenas A. "Triadic approximation reveals the role of interaction overlap on the spread of complex contagions on higher-order networks[J]". Physical Review Letters, 2024, 132(7): 077401. [html]

[12] Kim J H, Goh K I. "Higher-Order Components Dictate Higher-Order Contagion Dynamics in Hypergraphs[J]". Physical review letters, 2024, 132(8): 087401. [html]

[13] Ferraz de Arruda G, Tizzani M, Moreno Y. "Phase transitions and stability of dynamical processes on hypergraphs[J]". Communications Physics, 2021, 4(1): 24. [html]

[14] St-Onge G, Sun H, Allard A, et al. "Universal nonlinear infection kernel from heterogeneous exposure on higher-order networks[J]". Physical review letters, 2021, 127(15): 158301. [html]

[15] St-Onge G, Iacopini I, Latora V, et al. "Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs[J]". Communications Physics, 2022, 5(1): 25. [html]

[16] Latora V, Malizia F, Lamata-Otin S, et al. "Hyperedge overlap drives explosive transitions in systems with higher-order interactions[J]". Nature Communications, 2024. [html]

3 Opinion Dynamics

3.1 Empirical Study

[1] Pandey S, Cao Y, Dong Y, et al. "Generation and influence of eccentric ideas on social networks[J]". Scientific reports, 2023, 13(1): 20433. [html]

[2] Goldenberg A, Abruzzo J M, Huang Z, et al. "Homophily and acrophily as drivers of political segregation[J]". Nature Human Behaviour, 2023, 7(2): 219-230. [html]

[3] Zimmerman F, Garbulsky G, Ariely D, et al. "Political coherence and certainty as drivers of interpersonal liking over and above similarity[J]". Science advances, 2022, 8(6): eabk1909. [html]

[4] Zimmerman F, Pedraza L, Navajas J, et al. "Attraction by ingroup coherence drives the emergence of ideological sorting[J]". arXiv preprint arXiv:2304.12559, 2023. [html]

[5] Hohmann M, Devriendt K, Coscia M. "Quantifying ideological polarization on a network using generalized Euclidean distance[J]". Science Advances, 2023, 9(9): eabq2044. [html]

[6] Johnson N F, Velásquez N, Restrepo N J, et al. "The online competition between pro-and anti-vaccination views[J]". Nature, 2020, 582(7811): 230-233. [html]

3.2 Pairwise Model

[1] Chica M, Perc M, Santos F C. "Success-driven opinion formation determines social tensions[J]". iScience, 2024. [pdf]

[2] Liu L, Wang X, Chen X, et al. "Modeling confirmation bias and peer pressure in opinion dynamics[J]". Frontiers in Physics, 2021, 9: 649852. [html]

[3] Baumann F, Lorenz-Spreen P, Sokolov I M, et al. "Modeling echo chambers and polarization dynamics in social networks[J]". Physical Review Letters, 2020, 124(4): 048301. [html]

[4] Gajewski Ł G, Sienkiewicz J, Hołyst J A. "Transitions between polarization and radicalization in a temporal bilayer echo-chamber model[J]". Physical Review E, 2022, 105(2): 024125. [html]

[5] Santos F P, Lelkes Y, Levin S A. "Link recommendation algorithms and dynamics of polarization in online social networks[J]". Proceedings of the National Academy of Sciences, 2021, 118(50): e2102141118. [html]

[6] Liu J, Huang S, Aden N M, et al. "Emergence of polarization in coevolving networks[J]". Physical Review Letters, 2023, 130(3): 037401. [html]

[7] Baumann F, Lorenz-Spreen P, Sokolov I M, et al. "Emergence of polarized ideological opinions in multidimensional topic spaces[J]". Physical Review X, 2021, 11(1): 011012. [html]

[8] Soriano-Paños D, Guo Q, Latora V, et al. "Explosive transitions induced by interdependent contagion-consensus dynamics in multiplex networks[J]". Physical Review E, 2019, 99(6): 062311. [html]

[9] Wang X, Sirianni A D, Tang S, et al. "Public discourse and social network echo chambers driven by socio-cognitive biases[J]". Physical Review X, 2020, 10(4): 041042. [html]

3.3 Higher-order Model

[1] Neuhäuser L, Mellor A, Lambiotte R. "Multibody interactions and nonlinear consensus dynamics on networked systems[J]". Physical Review E, 2020, 101(3): 032310. [html]

[2] Neuhäuser L, Lambiotte R, Schaub M T. "Consensus dynamics on temporal hypergraphs[J]". Physical Review E, 2021, 104(6): 064305. [pdf]

[3] Schawe H, Hernández L. "Higher order interactions destroy phase transitions in deffuant opinion dynamics model[J]". Communications Physics, 2022, 5(1): 32. [html]

4 Collective Intelligence

4.1 Wisdom of Crowds

[1] Barrera-Lemarchand F, Balenzuela P, Bahrami B, et al. "The wisdom of extremized crowds: Promoting erroneous divergent opinions increases collective accuracy[J]". 2023. [html]

[2] Aminpour P, Gray S A, Singer A, et al. "The diversity bonus in pooling local knowledge about complex problems[J]". Proceedings of the National Academy of Sciences, 2021, 118(5): e2016887118. [html]

4.2 Collective Problem-Solving

[1] Lazer D, Friedman A. "The network structure of exploration and exploitation[J]". Administrative science quarterly, 2007, 52(4): 667-694. [html]

[2] Mason W, Watts D J. "Collaborative learning in networks[J]". Proceedings of the National Academy of Sciences, 2012, 109(3): 764-769. [html]

[3] Barkoczi D, Galesic M. "Social learning strategies modify the effect of network structure on group performance[J]". Nature communications, 2016, 7(1): 13109. [html]

[4] Gomez C J, Lazer D M J. "Clustering knowledge and dispersing abilities enhances collective problem solving in a network[J]". Nature communications, 2019, 10(1): 5146. [html]

[5] Ueshima A, Jones M I, Christakis N A. "Simple autonomous agents can enhance creative semantic discovery by human groups[J]". Nature Communications, 2024, 15(1): 5212. [html]

5 Dataset and Package

[1] Twitter datasets [html]

[2] SocioPatterns project [html]

[3] HGX [html]

[4] SNAP [html]

[5] ARB [html]

[6] Network Repository [html]

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