Centrality in Normalized Stochastic Networks

References

• [1] Acemoglu D, Ozdaglar A, Siderius J (2024) A model of online misinformation. Rev. Econom. Stud. 91(6):3117–3150.Crossref, Google Scholar
• [2] Acemoglu D, Ozdaglar A, Tahbaz-Salehi A (2015) Systemic risk and stability in financial networks. Amer. Econom. Rev. 105(2):564–608.Crossref, Google Scholar
• [3] Acemoglu D, Ozdaglar A, Tahbaz-Salehi A (2016) Networks, shocks, and systemic risk. The Oxford Handbook of the Economics of Networks (Oxford University Press, New York), 568–608.Google Scholar
• [4] Acemoglu D, Carvalho VM, Ozdaglar A, Tahbaz-Salehi A (2012) The network origins of aggregate fluctuations. Econometrica 80(5):1977–2016.Crossref, Google Scholar
• [5] Akbarpour M, Malladi S, Saberi A (2025) Just a few seeds more: The value of network data for diffusion. Amer. Econom. Rev. 115(11):3713–3748. Google Scholar
• [6] Avella-Medina M, Parise F, Schaub MT, Segarra S (2020) Centrality measures for graphons: Accounting for uncertainty in networks. IEEE Trans. Network Sci. Engrg. 7(1):520–537.Crossref, Google Scholar
• [7] Ballester C, Calvó-Armengol A, Zenou Y (2006) Who’s who in networks. Wanted: The key player. Econometrica 74(5):1403–1417.Crossref, Google Scholar
• [8] Banerjee A, Chandrasekhar AG, Duflo E, Jackson MO (2013) The diffusion of microfinance. Science 341(6144):1236498.Crossref, Google Scholar
• [9] Bonacich P (1987) Power and centrality: A family of measures. Amer. J. Sociol. 92(5):1170–1182.Crossref, Google Scholar
• [10] Bramoullé Y, Kranton R (2016) Games played on networks. The Oxford Handbook of the Economics of Networks, Ch. 5 (Oxford University Press, New York), 83–112.Crossref, Google Scholar
• [11] Breza E, Chandrasekhar AG, Tahbaz-Salehi A (2018) Seeing the forest for the trees? An investigation of network knowledge. NBER Working Paper No. 24359, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• [12] Burres D (1985) Homeomorphism between Leontief and Cobb-Douglas input-output models. Econom. Lett. 44(1–2):49–53.Crossref, Google Scholar
• [13] Candogan O, Bimpikis K, Ozdaglar A (2012) Optimal pricing in networks with externalities. Oper. Res. 60(4):883–905.Link, Google Scholar
• [14] Charras-Garrido M, Lezaud P (2013) Extreme value analysis: An introduction. J. Societe Francaise Statistique 154(2):66–97.Google Scholar
• [15] Chaudhuri PK, Sarangi S, Tzavellas H (2023) Games under network uncertainty. Preprint, submitted May 4, https://arxiv.org/abs/2305.03124.Google Scholar
• [16] Chung F, Radcliffe M (2011) On the spectra of general random graphs. Electronic J. Combin. 18(1):215.Crossref, Google Scholar
• [17] Conley TG, Udry CR (2010) Learning about a new technology: Pineapple in Ghana. Amer. Econom. Rev. 100(1):35–69.Crossref, Google Scholar
• [18] Dasaratha K (2020) Distributions of centrality on networks. Games Econom. Behav. 122(C):1–27.Crossref, Google Scholar
• [19] Dasaratha K, Venkatesh S, Vohra R (2024) Optimal bailouts in diversified financial networks. Preprint, submitted June 18, https://arxiv.org/abs/2406.12818.Google Scholar
• [20] De Paula A, Rasul I, Souza PCL (2025) Identifying network ties from panel data: Theory and an application to tax competition. Rev. Econom. Stud. 92(4):2691–2729.Crossref, Google Scholar
• [21] Eisenberg L, Noe TH (2001) Systemic risk in financial systems. Management Sci. 47(2):236–249.Link, Google Scholar
• [22] Elliott M, Golub B, Jackson MO (2014) Financial networks and contagion. Amer. Econom. Rev. 104(10):3115–3153.Crossref, Google Scholar
• [23] Galeotti A, Golub B, Goyal S (2020) Targeting interventions in networks. Econometrica 88(6):2445–2471.Crossref, Google Scholar
• [24] Golub B, Jackson MO (2010) Naive learning in social networks and the wisdom of crowds. Amer. Econom. J. Microeconomics 2(1):112–149.Crossref, Google Scholar
• [25] Golub B, Sadler E (2017) Learning in social networks. Preprint, submitted February 18, https://doi.org/10.2139/ssrn.2919146.Google Scholar
• [26] Graham BS (2017) An econometric model of network formation with degree heterogeneity. Econometrica 85(4):1033–1063.Crossref, Google Scholar
• [27] Hartigan JA (2014) Bounding the maximum of dependent random variables. Electronic J. Statist. 8(2):3126–3140.Crossref, Google Scholar
• [28] Huang J, Mani A, Wang Z (2022) The value of price discrimination in large social networks. Management Sci. 68(6):4454–4477.Link, Google Scholar
• [29] Jackson MO (2010) Social and Economic Networks (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• [30] Jackson MO, Zenou Y (2015) Games on networks. Peyton Young H, Zamir S, eds. Handbook of Game Theory with Economic Applications, vol. 4 (Elsevier, Amsterdam, Netherlands), 95–163.Google Scholar
• [31] Jeong D, Shin E (2024) Optimal influence design in networks. J. Econom. Theory 220:105877.Crossref, Google Scholar
• [32] Langville AN, Meyer CD (2011) Google’s PageRank and Beyond (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• [33] Leontief W, ed. (1986) Input-Output Economics, 2nd ed. (Oxford University Press, New York).Google Scholar
• [34] Mostagir M, Siderius J (2023) Social inequality and the spread of misinformation. Management Sci. 69(2):968–995.Link, Google Scholar
• [35] Mostagir M, Ozdaglar A, Siderius J (2022) When is society susceptible to manipulation? Management Sci. 68(10):7153–7175.Link, Google Scholar
• [36] Newman M (2018) Networks, 2nd ed. (Oxford University Press, New York).Crossref, Google Scholar
• [37] Parise F, Ozdaglar A (2023) Graphon games: A statistical framework for network games and interventions. Econometrica 91(1):191–225.Crossref, Google Scholar
• [38] Roughgarden T (2010) Algorithmic game theory. Comm. ACM 53(7):78–86.Crossref, Google Scholar