Social Network Sensors for Early Detection of Contagious Outbreaks

Diffusion of Innovations 1

Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,557 · see citing works

Diffusion of Innovations

Mack, P., & Rogers, E. (1964) · Encyclopedia of Sport Management · doi:10.2307/3319808 · Cited by 23,611 · see citing works

A set of measures of centrality based upon betweenness

Freeman, L. (1977) · Sociometry · doi:10.2307/3033543 · Cited by 10,557 · see citing works

Diffusion of Innovations

Stanton, B. F., & Rogers, E. M. (1963) · Journal of Farm Economics · doi:10.2307/1235767 · Cited by 6,725 · see citing works

Detecting influenza epidemics using search engine query data

Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009) · Nature · doi:10.1038/nature07634 · Cited by 4,295 · see citing works

Nonlinear Regression Analysis and Its Applications

Bates, D. M., & Watts, D. G. (1988) · Wiley series in probability and statistics · doi:10.1002/9780470316757 · Cited by 4,017 · see citing works

Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases

Mossong, J., Hens, N., Jit, M., Beutels, P., Auranen, K., Mikolajczyk, R., Massari, M., Salmaso, S., Tomba, G. S., Wallinga, J., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050074 · Cited by 2,900 · see citing works

An algorithm for drawing general undirected graphs

Kamada, T., & Kawai, S. (1989) · Information Processing Letters · doi:10.1016/0020-0190(89)90102-6 · Cited by 2,670 · see citing works

Cost-effective outbreak detection in networks

Leskovec, J., Krause, A., Guestrin, C., Faloutsos, C., VanBriesen, J. M., & Glance, N. (2007) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1281192.1281239 · Cited by 2,561 · see citing works

The collective dynamics of smoking in a large social network

Christakis, N. A., & Fowler, J. H. (2008) · New England Journal of Medicine · doi:10.1056/nejmsa0706154 · Cited by 2,390 · see citing works

Critical phenomena in complex networks

Dorogovtsev, S. N., Goltsev, A. V., & Mendes, J. F. F. (2008) · Reviews of Modern Physics · doi:10.1103/revmodphys.80.1275 · Cited by 2,220 · see citing works

The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data

Turnbull, B. W. (1976) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1976.tb01597.x · Cited by 1,835 · see citing works

Immunization of complex networks

Pastor‐Satorras, R., & Vespignani, A. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.65.036104 · Cited by 1,296 · see citing works

Efficient Immunization Strategies for Computer Networks and Populations

Reuven Cohen, C., Havlin, S., & ben‐Avraham, D. (2003) · Physical Review Letters · doi:10.1103/physrevlett.91.247901 · Cited by 1,175 · see citing works

Chains of affection: the structure of adolescent romantic and sexual networks

Bearman, P. S., Moody, J., & Stovel, K. (2004) · American Journal of Sociology · doi:10.1086/386272 · Cited by 817 · see citing works

Google Trends: A Web‐Based Tool for Real‐Time Surveillance of Disease Outbreaks

Carneiro, H. A., & Mylonakis, E. E. (2009) · Clinical Infectious Diseases · doi:10.1086/630200 · Cited by 815 · see citing works

Cooperative behavior cascades in human social networks

Fowler, J. H., & Christakis, N. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913149107 · Cited by 767 · see citing works

Why Your Friends Have More Friends Than You Do

Feld, S. L. (1991) · American Journal of Sociology · doi:10.1086/229693 · Cited by 591 · see citing works

Halting viruses in scale-free networks

Dezső, Z., & Barabási, A.-Ĺ. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.65.055103 · Cited by 585 · see citing works

Social network determinants of depression

Rosenquist, J. N., Fowler, J. H., & Christakis, N. A. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.13 · Cited by 543 · see citing works

Household Transmission of 2009 Pandemic Influenza A (H1N1) Virus in the United States

Cauchemez, S., Donnelly, C. A., Reed, C., Ghani, A. C., Fraser, C., Kent, C. K., Finelli, L., & Ferguson, N. M. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0905498 · Cited by 472 · see citing works

Nonlinear Regression Analysis and Its Applications.

Kass, R. E., Bates, D. M., Watts, D. G., Seber, G. A. F., & Wild, C. J. (1990) · Journal of the American Statistical Association · doi:10.2307/2289810 · Cited by 397 · see citing works

Infection in Social Networks: Using Network Analysis to Identify High-Risk Individuals

Christley, R., Pinchbeck, G. L., Bowers, R., Clancy, D., French, N. P., Bennett, R., & Turner, J. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwi308 · Cited by 390 · see citing works

Geographic Dependence, Surveillance, and Origins of the 2009 Influenza A (H1N1) Virus

Trifonov, V. A., Khiabanian, H., & Rabadán, R. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0904572 · Cited by 331 · see citing works

Pre-existing immunity against swine-origin H1N1 influenza viruses in the general human population

Greenbaum, J., Kotturi, M. F., Kim, Y., Oseroff, C., Vaughan, K. C., Salimi, N., Vita, R., Ponomarenko, J. V., Scheuermann, R. H., Sette, A., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911580106 · Cited by 317 · see citing works

Outbreak of 2009 Pandemic Influenza A (H1N1) at a New York City School

Lessler, J., Reich, N. G., & Cummings, D. A. T. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0906089 · Cited by 308 · see citing works

Ego-centered networks and the ripple effect

Newman, M. E. J. (2003) · Social Networks · doi:10.1016/s0378-8733(02)00039-4 · Cited by 287 · see citing works

Mortality due to Influenza in the United States—An Annualized Regression Approach Using Multiple-Cause Mortality Data

Dushoff, J. G., Plotkin, J. B., Viboud, C. G., Earn, D. J. D., & Simonsen, L. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwj024 · Cited by 257 · see citing works

Exploiting Social Networks to Mitigate the Obesity Epidemic

Bahr, D. B., Browning, R. C., Wyatt, H. R., & Hill, J. O. (2009) · Obesity · doi:10.1038/oby.2008.615 · Cited by 190 · see citing works

Pajek Program for Analysis and Visualization of Large Networks

Batagelj, V., & Mrvar, A. (2007) · Cited by 183 · see citing works

Rescattering of Ultralow-Energy Electrons for Single Ionization of Ne in the Tunneling Regime

Moshammer, R., Ullrich, J., Feuerstein, B., Fischer, D., Dorn, A., Schröter, C. D., López-Urrutia, J. R. C., Hoehr, C., Rottke, H., Trump, C., et al. (2003) · Physical Review Letters · doi:10.1103/physrevlett.91.113002 · Cited by 171 · see citing works

The popularity contest at work: Who wins, why, and what do they receive?

Scott, B. A., & Judge, T. A. (2009) · Journal of Applied Psychology · doi:10.1037/a0012951 · Cited by 158 · see citing works

SOME A PRIORI PATHOMETRIC EQUATIONS

Ross, R. S. (1915) · BMJ · doi:10.1136/bmj.1.2830.546 · Cited by 151 · see citing works

Use of Prediction Markets to Forecast Infectious Disease Activity

Polgreen, P. M., Nelson, F. D., Neumann, G. R., & Weinstein, R. A. (2006) · Clinical Infectious Diseases · doi:10.1086/510427 · Cited by 124 · see citing works

What Makes You Think You're so Popular? Self-Evaluation Maintenance and the Subjective Side of the "Friendship Paradox"

Zuckerman, E. W., & Jost, J. T. (2001) · Social Psychology Quarterly · doi:10.2307/3090112 · Cited by 120 · see citing works

Effectiveness and Cost-Effectiveness of Vaccination Against Pandemic Influenza (H1N1) 2009

Khazeni, N., Hutton, D. W., Garber, A. M., Hupert, N., & Owens, D. K. (2009) · Annals of Internal Medicine · doi:10.7326/0000605-200912150-00157 · Cited by 98 · see citing works

Effectiveness and cost-effectiveness of vaccination against pandemic influenza (H1N1) 2009

Khazeni, N., Hutton, D. W., Garber, A. M., Hupert, N., & Owens, D. K. (2009) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 96 · see citing works

Statistical Tools for Nonlinear Regression: A Practical Guide with S-PLUS Examples.

Pinheiro, J. C., Hue, S., Bouvier, A., Poursat, M.-A., & Jolivet, E. (1997) · Journal of the American Statistical Association · doi:10.2307/2965596 · Cited by 91 · see citing works

Statistical Tools for Nonlinear Regression: a Practical Guide With S-PLUS and R Examples

Anderson‐Cook, C. M. (2004) · Journal of the American Statistical Association · doi:10.1198/jasa.2004.s351 · Cited by 84 · see citing works

Effective, Robust Design of Community Mitigation for Pandemic Influenza: A Systematic Examination of Proposed US Guidance

Davey, V. J., Glass, R. J., Min, H. J., Beyeler, W., & Glass, L. M. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002606 · Cited by 67 · see citing works

Identifying influential spreaders in complex networksPreprint

Kitsak, M., Gallos, L. K., Havlin, S., Liljeros, F., Muchnik, L., Stanley, E., & Makse, H. A. (2010) · arXiv (Cornell University) · Cited by 66 · see citing works

Update: influenza activity - United States, August 30, 2009-January 9, 2010.

Brammer, L., Epperson, S., Blanton, L., Wallis, T. R., Fiore, A. E., Gubareva, L. V., Bresee, J., Kamimoto, L., Xu, X., Klimov, A. I., et al. (2010) · MMWR Morbidity and Mortality Weekly Report · Cited by 48 · see citing works

Update: influenza activity--United States, August 30, 2009-January 9, 2010.

(2010) · PubMed · Cited by 29 · see citing works

Link-space formalism for network analysis

Smith, D. M., Lee, C. F., Onnela, J.-P. “., & Johnson, N. F. (2008) · Physical Review E · doi:10.1103/physreve.77.036112 · Cited by 10 · see citing works

Effectiveness and cost-effectiveness of vaccination against pandemic influenza (H1N1) 2009.

Khazeni, N., Hutton, D. W., Garber, A. M., et al. (2009) · PubMed · doi:10.7326/0003-4819-151-12-200912150-00157 · Cited by 5 · see citing works

Using social and behavioural science to support COVID-19 pandemic response

Bavel, J. J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., Crockett, M. J., Crum, A. J., Douglas, K. M., Druckman, J. N., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0884-z · Cited by 4,964 · see citing works

Epidemic processes in complex networks

Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697 · see citing works

Social contagion theory: examining dynamic social networks and human behavior

Christakis, N. A., & Fowler, J. H. (2013) · Statistics in Medicine · doi:10.1002/sim.5408 · Cited by 1,303 · see citing works

Increasing Vaccination: Putting Psychological Science Into Action

Brewer, N. T., Chapman, G. B., Rothman, A. J., Leask, J., & Kempe, A. (2017) · Psychological Science in the Public Interest · doi:10.1177/1529100618760521 · Cited by 1,233 · see citing works

Statistical physics of vaccination

Wang, Z., Bauch, C. T., Bhattacharyya, S., d’Onofrio, A., Manfredi, P., Perc, M., Perra, N., Salathé, M., & Zhao, D. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.006 · Cited by 954 · see citing works

Population flow drives spatio-temporal distribution of COVID-19 in China

Jia, J. S., Lu, X., Yuan, Y., Xu, G., Jia, J., & Christakis, N. A. (2020) · Nature · doi:10.1038/s41586-020-2284-y · Cited by 835 · see citing works

Intuitive Cooperation and the Social Heuristics Hypothesis: Evidence from 15 Time Constraint Studies

Rand, D. G., Peysakhovich, A., Kraft‐Todd, G., Newman, G. E., Wurzbacher, O., Nowak, M. A., & Greene, J. D. (2013) · Nature Communications · doi:10.1038/ncomms4677 · Cited by 730 · see citing works

Systems Science Methods in Public Health: Dynamics, Networks, and Agents

Luke, D. A., & Stamatakis, K. A. (2012) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031210-101222 · Cited by 704 · see citing works

Social Connectedness: Measurement, Determinants, and Effects

Bailey, M., Cao, R., Kuchler, T., Stroebel, J., & Wong, A. (2018) · The Journal of Economic Perspectives · doi:10.1257/jep.32.3.259 · Cited by 600 · see citing works

Instagram photos reveal predictive markers of depression

Reece, A. G., & Danforth, C. M. (2017) · EPJ Data Science · doi:10.1140/epjds/s13688-017-0110-z · Cited by 519 · see citing works

#Earthquake: Twitter as a Distributed Sensor System

Crooks, A. T., Croitoru, A., Stefanidis, A., & Radzikowski, J. (2012) · Transactions in GIS · doi:10.1111/j.1467-9671.2012.01359.x · Cited by 470 · see citing works

Mathematical modeling of infectious disease dynamics

Siettos, C. I., & Russo, L. (2013) · Virulence · doi:10.4161/viru.24041 · Cited by 466 · see citing works

The Economic Consequences of Social-Network Structure

Jackson, M. O., Rogers, B. W., & Zénou, Y. (2017) · Journal of Economic Literature · doi:10.1257/jel.20150694 · Cited by 479 · see citing works

Forecasting the onset and course of mental illness with Twitter data

Reece, A. G., Reagan, A. J., Lix, K. L. M., Dodds, P. S., Danforth, C. M., & Langer, E. J. (2017) · Scientific Reports · doi:10.1038/s41598-017-12961-9 · Cited by 401 · see citing works

Internet addiction in adolescence: neurobiological, psychosocial and clinical issues

Cerniglia, L., Zoratto, F., Cimino, S., Laviola, G., Ammaniti, M., & Adriani, W. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.12.024 · Cited by 371 · see citing works

Social network targeting to maximise population behaviour change: a cluster randomised controlled trial

Kim, D. A., Hwong, A. R., Stafford, D., Hughes, D. A., O'Malley, A. J., Fowler, J. H., & Christakis, N. A. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60095-2 · Cited by 350 · see citing works

Control Centrality and Hierarchical Structure in Complex Networks

Liu, Y., Slotine, J.-J. E., & Barabási, A.-Ĺ. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044459 · Cited by 322 · see citing works

Agent-Based Modeling

Helbing, D. (2012) · Understanding complex systems · doi:10.1007/978-3-642-24004-1_2 · Cited by 324 · see citing works

The Critical Node Detection Problem in networks: A survey

Lalou, M., Tahraoui, M. A., & Kheddouci, H. (2018) · Computer Science Review · doi:10.1016/j.cosrev.2018.02.002 · Cited by 313 · see citing works

Edge-based compartmental modelling for infectious disease spread

Miller, J. C., Slim, A. C., & Volz, E. (2011) · Journal of The Royal Society Interface · doi:10.1098/rsif.2011.0403 · Cited by 280 · see citing works

Spreading dynamics in complex networks

Pei, S., & Makse, H. A. (2013) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2013/12/p12002 · Cited by 249 · see citing works

Absence of influential spreaders in rumor dynamics

Borge‐Holthoefer, J., & Moreno, Y. (2012) · Physical Review E · doi:10.1103/physreve.85.026116 · Cited by 248 · see citing works

Monitoring Influenza Epidemics in China with Search Query from Baidu

Yuan, Q., Nsoesie, E. O., Lv, B., Peng, G., Chunara, R., & Brownstein, J. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064323 · Cited by 233 · see citing works

Centrality measures in networks

Bloch, F., Jackson, M. O., & Tebaldi, P. (2023) · Social Choice and Welfare · doi:10.1007/s00355-023-01456-4 · Cited by 363 · see citing works

Herd Immunity and Implications for SARS-CoV-2 Control

Omer, S. B., Yildirim, I. B., & Forman, H. P. (2020) · JAMA · doi:10.1001/jama.2020.20892 · Cited by 214 · see citing works

Bactericidal Effects and Mechanisms of Visible Light-Responsive Titanium Dioxide Photocatalysts on Pathogenic Bacteria

Liou, J.-W., & Chang, H. (2012) · Archivum Immunologiae et Therapiae Experimentalis · doi:10.1007/s00005-012-0178-x · Cited by 205 · see citing works

A measure of individual role in collective dynamics

Klemm, K., Serrano, M. Á., Eguı́luz, V. M., & Miguel, M. S. (2012) · Scientific Reports · doi:10.1038/srep00292 · Cited by 168 · see citing works

The “majority illusion” in social networks

Lerman, K., Yan, X., & Wu, X.-Z. (2016) · PLOS ONE · doi:10.1371/journal.pone.0147617 · Cited by 669 · see citing works

Suppressing epidemics with a limited amount of immunization units

Schneider, C., Mihaljev, T., Havlin, S., & Herrmann, H. J. (2011) · Physical Review E · doi:10.1103/physreve.84.061911 · Cited by 165 · see citing works

Citizens’ Adherence to COVID-19 Mitigation Recommendations by the Government: A 3-Country Comparative Evaluation Using Web-Based Cross-Sectional Survey Data

Al-Hasan, A., Yim, D., & Khuntia, J. (2020) · Journal of Medical Internet Research · doi:10.2196/20634 · Cited by 150 · see citing works

Cascading outbreak prediction in networks

Cui, P., Jin, S., Yu, L., Wang, F., Zhu, W., & Yang, S. (2013) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2487575.2487639 · Cited by 139 · see citing works

The effectiveness of backward contact tracing in networks

Kojaku, S., Hébert‐Dufresne, L., Mones, E., Lehmann, S., & Ahn, Y. (2021) · Nature Physics · doi:10.1038/s41567-021-01187-2 · Cited by 136 · see citing works

Performance of Social Network Sensors during Hurricane Sandy

Kryvasheyeu, Y., Chen, H., Moro, E., Hentenryck, P. V., & Cebrián, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0117288 · Cited by 135 · see citing works

The Economic Consequences of Social Network StructurePreprint

Jackson, M. O., Rogers, B. W., & Zénou, Y. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2467812 · Cited by 133 · see citing works

Trending Now: Using Social Media to Predict and Track Disease Outbreaks

Schmidt, C. W. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.120-a30 · Cited by 131 · see citing works

Centrality Measures in NetworksPreprint

Bloch, F., Jackson, M. O., & Tebaldi, P. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2749124 · Cited by 131 · see citing works

Benefits of bias

Maiya, A. S., & Berger-Wolf, T. Y. (2011) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2020408.2020431 · Cited by 107 · see citing works

Ethical and regulatory challenges of research using pervasive sensing and other emerging technologies: IRB perspectives

Nebeker, C., Harlow, J., Giacinto, R. E., Linares-Orozco, R., Bloss, C. S., & Weibel, N. (2017) · AJOB Empirical Bioethics · doi:10.1080/23294515.2017.1403980 · Cited by 107 · see citing works

Causal Inference for Social Network Data

Ogburn, E., Sofrygin, O., Díaz, I., & van der Laan, M. V. (2017) · Journal of the American Statistical Association · doi:10.1080/01621459.2022.2131557 · Cited by 159 · see citing works

Can Network Theory-based Targeting Increase Technology Adoption?

Beaman, L., BenYishay, A., Magruder, J., & Mobarak, A. M. (2018) · National Bureau of Economic Research · doi:10.3386/w24912 · Cited by 106 · see citing works

Humanitarian health computing using artificial intelligence and social media: A narrative literature review

Fernández-Luque, L., & Imran, M. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.01.015 · Cited by 106 · see citing works

Beyond collective intelligence: Collective adaptation

Galesic, M., Barkoczi, D., Berdahl, A., Biro, D., Carbone, G., Giannoccaro, I., Goldstone, R. L., González, C., Kandler, A., Kao, A. B., et al. (2022) · Journal of the Royal Society Interface · doi:10.1098/rsif.2022.0736 · Cited by 101 · see citing works

Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras

Shakya, H. B., Stafford, D., Hughes, D., Keegan, T., Negron, R., Broome, J., McKnight, M., Nicoll, L., Nelson, J., Iriarte, E., et al. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-012996 · Cited by 101 · see citing works

The Friendship Paradox and Systematic Biases in Perceptions and Social Norms

Jackson, M. O. (2016) · Journal of Political Economy · doi:10.1086/701031 · Cited by 99 · see citing works

Human social sensing is an untapped resource for computational social science

Galešić, M., de Bruin, W. B., Dalege, J., Feld, S. L., Kreuter, F., Olsson, H., Prelec, D., Stein, D. L., & van der Does, T. (2021) · Nature · doi:10.1038/s41586-021-03649-2 · Cited by 97 · see citing works

Tail-scope: Using friends to estimate heavy tails of degree distributions in large-scale complex networks

Eom, Y.-H., & Jo, H.-H. (2015) · Scientific Reports · doi:10.1038/srep09752 · Cited by 98 · see citing works

Using Friends as Sensors to Detect Global-Scale Contagious Outbreaks

García–Herranz, M., Moro, E., Cebrián, M., Christakis, N. A., & Fowler, J. H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092413 · Cited by 97 · see citing works

Generalized friendship paradox in complex networks: The case of scientific collaboration

Eom, Y.-H., & Jo, H.-H. (2014) · Scientific Reports · doi:10.1038/srep04603 · Cited by 98 · see citing works

Friendship Paradox Redux: Your Friends Are More Interesting Than You

Hodas, N. O., Kooti, F., & Lerman, K. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v7i1.14440 · Cited by 97 · see citing works

Networkcontrology

Motter, A. E. (2015) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4931570 · Cited by 94 · see citing works

From social data mining to forecasting socio-economic crises

Helbing, D., & Balietti, S. (2011) · The European Physical Journal Special Topics · doi:10.1140/epjst/e2011-01401-8 · Cited by 90 · see citing works

Detecting Influential Spreaders in Complex, Dynamic Networks

Basaras, P., Katsaros, D., & Tassiulas, L. (2013) · Computer · doi:10.1109/mc.2013.75 · Cited by 91 · see citing works

Alliance networks and trade

Haim, D. A. (2016) · Journal of Peace Research · doi:10.1177/0022343316630938 · Cited by 91 · see citing works

Towards multiscale modeling of influenza infection

Murillo, L. N., Murillo, M. S., & Perelson, A. S. (2013) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2013.03.024 · Cited by 90 · see citing works

Information cascades in complex networks

Jalili, M., & Perc, M. (2017) · Journal of Complex Networks · doi:10.1093/comnet/cnx019 · Cited by 248 · see citing works

Behavioral Immune Trade-Offs: Interpersonal Value Relaxes Social Pathogen Avoidance

Tybur, J. M., Lieberman, D., Fan, L., Kupfer, T. R., & de Vries, R. E. (2020) · Psychological Science · doi:10.1177/0956797620960011 · Cited by 83 · see citing works

How Should Health Data Be Used?

KAPLAN, B. (2014) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s0963180115000614 · Cited by 93 · see citing works

Using friends as sensors to detect planetary-scale contagious outbreaks

Cebrián, M. (2012) · doi:10.1145/2390034.2390041 · Cited by 83 · see citing works

Epidemiologically Optimal Static Networks from Temporal Network Data

Holme, P. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003142 · Cited by 84 · see citing works

Transmission of Vaccination Attitudes and Uptake Based on Social Contagion Theory: A Scoping Review

Konstantinou, P., Georgiou, K., Kumar, N., Kyprianidou, M., Nicolaides, C., Karekla, M., & Kassianos, A. P. (2021) · Vaccines · doi:10.3390/vaccines9060607 · Cited by 82 · see citing works

Qualities and Inequalities in Online Social Networks through the Lens of the Generalized Friendship Paradox

Momeni, N., & Rabbat, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0143633 · Cited by 81 · see citing works

Social network predictors of latrine ownership

Shakya, H. B., Christakis, N. A., & Fowler, J. H. (2014) · Social Science & Medicine · doi:10.1016/j.socscimed.2014.03.009 · Cited by 80 · see citing works

Using Social and Behavioural Science to Support COVID-19 Pandemic ResponsePreprint

Bavel, J. J. V., D, K. B. A., Boggio, P. S., Capraro, V., Cichocka, A. K., Cikara, M., Crockett, M. J., Crum, A. J., Douglas, K. M., Druckman, J. N., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4178356 · Cited by 86 · see citing works

Misinformation in Online Social Networks

Zhang, H., Alim, M. A., Li, X. R., Thai, M. T., & Nguyen, H. P. N. (2016) · ACM Transactions on Information Systems · doi:10.1145/2885494 · Cited by 74 · see citing works

Sensing, Understanding, and Shaping Social Behavior

Shmueli, E., Singh, V. K., Lepri, B., & Pentland, A. (2014) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2014.2307438 · Cited by 73 · see citing works

Erratic Flu Vaccination Emerges from Short-Sighted Behavior in Contact Networks

Cornforth, D. M., Reluga, T. C., Shim, E., Bauch, C. T., Galvani, A. P., & Ancel, L. W. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001062 · Cited by 72 · see citing works

Dueling biological and social contagions

Fu, F., Christakis, N. A., & Fowler, J. H. (2017) · Scientific Reports · doi:10.1038/srep43634 · Cited by 71 · see citing works

Using Networks to Combine “Big Data” and Traditional Surveillance to Improve Influenza Predictions

Davidson, M. W., Haim, D. A., & Radin, J. M. (2015) · Scientific Reports · doi:10.1038/srep08154 · Cited by 68 · see citing works

Mining Social Media Data for Biomedical Signals and Health-Related Behavior

Correia, R. B., Wood, I. B., Bollen, J., & Rocha, L. M. (2020) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-030320-040844 · Cited by 64 · see citing works

How People Interact in Evolving Online Affiliation Networks

Gallos, L. K., Diego Rybski, A., Liljeros, F., Havlin, S., & Makse, H. A. (2012) · Physical Review X · doi:10.1103/physrevx.2.031014 · Cited by 67 · see citing works

Disease Surveillance on Complex Social Networks

Herrera, J. L., Srinivasan, R., Brownstein, J. S., Galvani, A. P., & Ancel, L. W. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004928 · Cited by 66 · see citing works

Social Networks in Later Life

Cornwell, B. T., & Schafer, M. H. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-417235-7.00009-3 · Cited by 65 · see citing works

Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models

Chen, L., Hossain, K. S. M. T., Butler, P., Ramakrishnan, N., & Prakash, B. A. (2015) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-015-0434-x · Cited by 62 · see citing works

Association between tuberculosis in men and social network structure in Kampala, Uganda

Miller, P. B., Zalwango, S. K., Galiwango, R. M., Kakaire, R., Sekandi, J. N., Steinbaum, L., Drake, J. M., Whalen, C. C., & Kiwanuka, N. (2021) · BMC Infectious Diseases · doi:10.1186/s12879-021-06475-z · Cited by 61 · see citing works

Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models

Chen, L., Hossain, K. S. M. T., Butler, P., Ramakrishnan, N., & Prakash, B. A. (2014) · Proceedings · doi:10.1109/icdm.2014.137 · Cited by 61 · see citing works

Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube

Obadimu, A., Khaund, T., Mead, E. L., Marcoux, T., & Agarwal, N. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102660 · Cited by 59 · see citing works

Mobile crowd sensing of human-like intelligence using social sensors: A survey

Xu, Z., Mei, L., Choo, K. R., Lv, Z., Hu, C., Luo, X., & Liu, Y. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.01.127 · Cited by 58 · see citing works

Fast influencers in complex networks

Zhou, F., Lü, L., & Mariani, M. S. (2019) · Communications in Nonlinear Science and Numerical Simulation · doi:10.1016/j.cnsns.2019.01.032 · Cited by 58 · see citing works

Contact tracing – Old models and new challenges

Müller, J., & Kretzschmar, M. (2020) · Infectious Disease Modelling · doi:10.1016/j.idm.2020.12.005 · Cited by 55 · see citing works

Using global diversity and local topology features to identify influential network spreaders

Fu, Y.-H., Huang, C.-Y., & Sun, C. (2015) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2015.03.042 · Cited by 55 · see citing works

A change of perspective in network centrality

Sciarra, C., Chiarotti, G., Laio, F., & Ridolfi, L. (2018) · Scientific Reports · doi:10.1038/s41598-018-33336-8 · Cited by 53 · see citing works

Vaccines, contagion, and social networks

Ogburn, E. L., & VanderWeele, T. J. (2017) · The Annals of Applied Statistics · doi:10.1214/17-aoas1023 · Cited by 52 · see citing works

Polio vaccine hesitancy in the networks and neighborhoods of Malegaon, India.

Onnela, J., Landon, B. E., Kahn, A.-L., Ahmed, D., Verma, H., O'Malley, A., Bahl, S., Sutter, R., & Christakis, N. A. (2016) · Social Science & Medicine (1967) · doi:10.1016/j.socscimed.2016.01.024 · Cited by 54 · see citing works

Counteracting structural errors in ensemble forecast of influenza outbreaks

Pei, S., & Shaman, J. L. (2017) · Nature Communications · doi:10.1038/s41467-017-01033-1 · Cited by 52 · see citing works

Forecasting Influenza Levels Using Real-Time Social Media Streams

Lee, K., Agrawal, A., & Choudhary, A. (2017) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi.2017.68 · Cited by 51 · see citing works

Efficient surveillance for healthcare-associated infections spreading between hospitals

Ciccolini, M., Donker, T., Grundmann, H., Bonten, M. J. M., & Woolhouse, M. E. J. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308062111 · Cited by 51 · see citing works

The Coming of a Networked Criminology

Papachristos, A. (2017) · Routledge eBooks · doi:10.4324/9780203785997-5 · Cited by 132 · see citing works

Arguments and sources on Italian online forums on childhood vaccinations: Results of a content analysis

Fadda, M., Allam, A., & Schulz, P. J. (2015) · Vaccine · doi:10.1016/j.vaccine.2015.11.007 · Cited by 48 · see citing works

Three faces of node importance in network epidemiology: Exact results for small graphs

Holme, P. (2017) · Physical review. E · doi:10.1103/physreve.96.062305 · Cited by 48 · see citing works

Proactive Defense for Evolving Cyber Threats

Sandia National Laboratories (SNL-NM), A., Colbaugh, R., (NNSA), U. N. N. S. A., & Glass, K. (2012) · doi:10.2172/1059470 · Cited by 48 · see citing works

Structural Bridging Network Position is Associated with HIV Status in a Younger Black Men Who Have Sex with Men Epidemic

Shah, N. S., Iveniuk, J., Muth, S. Q., Michaels, S., Jose, J., Laumann, E. O., & Schneider, J. A. (2013) · AIDS and Behavior · doi:10.1007/s10461-013-0677-8 · Cited by 47 · see citing works

Induction of social contagion for diverse outcomes in structured experiments in isolated villages

Airoldi, E. M., & Christakis, N. A. (2024) · Science · doi:10.1126/science.adi5147 · Cited by 46 · see citing works

Perceived Sexual and Reproductive Health Needs and Service Utilization among Higher Secondary School Students in Urban Nepal

Bam, K., Haseen, F., Rajendra Kumar, B. C., Newman, M. S., Chaudhary, A. H., Thapa, R., & Bhuiya, I. (2015) · American journal of public health research · doi:10.12691/ajphr-3-2-1 · Cited by 46 · see citing works

Reducing gunshot victimization in high-risk social networks through direct and spillover effects

Wood, G., & Papachristos, A. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0688-1 · Cited by 11 · see citing works

The diffusion of a new method of suicide: charcoal-burning suicide in Hong Kong and Taiwan

Chen, Y., YIP, P. S. F., Lee, C. K., Gunnell, D., & Wu, K. C. (2014) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-014-0910-4 · Cited by 44 · see citing works

Mining Social Media and Web Searches for Disease Detection

Yang, Y. T., Horneffer, M., & DiLisio, N. (2013) · Journal of Public Health Research · doi:10.4081/jphr.2013.e4 · Cited by 44 · see citing works

Social network analysis in epidemiology: Current trends and perspectives

Stattner, E., & Vidot, N. (2011) · International Conference on Research Challenges in Information Science (RCIS) · doi:10.1109/rcis.2011.6006866 · Cited by 44 · see citing works

Analyzing Temporal Networks in Social Media

Holme, P. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2361326 · Cited by 44 · see citing works

Intimate partner violence norms cluster within households: an observational social network study in rural Honduras

Shakya, H. B., Hughes, D. A., Stafford, D., Christakis, N. A., Fowler, J. H., & Silverman, J. G. (2016) · BMC Public Health · doi:10.1186/s12889-016-2893-4 · Cited by 44 · see citing works

Using Friends as Sensors to Detect Global-Scale Contagious OutbreaksPreprint

García–Herranz, M., Moro, E., Cebrián, M., Christakis, N. A., & Fowler, J. H. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1211.6512 · Cited by 3 · see citing works

Using friends as sensors to detect global-scale contagious outbreaks. arXiv preprint arXiv:1211.6512

Garcia-herranz, M., Moro, E., Cebrián, M., Christakis, N. A., & Fowler, J. H. (2012)

Using friends as sensors to detect planetary-scale contagious outbreaks

Cebrián, M. (2012) · doi:10.1145/2390034.2390041 · Cited by 83 · see citing works

Efficient detection of contagious outbreaks in massive metropolitan encounter networks

Sun, L., Axhausen, K. W., Lee, D., & Cebrián, M. (2014) · DSpace@MIT (Massachusetts Institute of Technology) · doi:10.3929/ethz-b-000078529 · Cited by 34 · see citing works

Disease Surveillance on Complex Social Networks

Herrera, J. L., Srinivasan, R., Brownstein, J. S., Galvani, A. P., & Ancel, L. W. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004928 · Cited by 66 · see citing works