Network Interventions
Abstract
Network, Network, Network: The fact that our interactions with others influence many of our decisions has led to research on characterizing the networks to which we belong and, more recently, on interventions that can change networks thereby changing behavior. This can have a variety of purposes, including promoting information flow through an organization or finding vulnerable points in bioterrorist networks. Valente (p. 49 ) reviews a variety of strategies for affecting networks.
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In general, interventions delivered by people from the community of the beneficiaries of the program will be more effective than those delivered by outside agencies that are less connected to program recipients.
“In general, interventions delivered by people from the community of the beneficiaries of the program will be more effective than those delivered by outside agencies that are less connected to program recipients [22, 23].”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [22]
Valente classified network interventions into four broad strategies, each comprised of several tactical alternatives with each tactic having from one to many operational choices.
“Many other network interventions are possible, and Valente [22] classified them into four broad strategies, each comprised of several tactical alternatives with each tactic having from one to many operational choices.”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [22]
Network-identified peer opinion leaders have been used in dozens of studies to accelerate behavior change.
“Network-identified peer opinion leaders have been used in dozens of studies to accelerate behavior change.”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [22]
Who delivers the program, and the social context of its receipt has a strong impact on program appeal and impact.
“Research has shown that who delivers the program, and the social context of its receipt has a strong impact on program appeal and impact [22, 58].”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [22]
Cites
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557 · see citing works
Centrality in social networks conceptual clarification
Freeman, L. C. (1978) · Social Networks · doi:10.1016/0378-8733(78)90021-7 · Cited by 17,062 · see citing works
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502 · see citing works
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works
Network externalities, competition, and compatibility
Katz, M. L. (1985) · American Economic Review · Cited by 6,152 · see citing works
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007 · see citing works
Respondent-Driven Sampling: A New Approach to the Study of Hidden Populations
Heckathorn, D. D. (1997) · Social Problems · doi:10.2307/3096941 · Cited by 4,305 · see citing works
The Influence of Source Credibility on Communication Effectiveness
Hovland, C. I., & Weiss, W. (1951) · Public Opinion Quarterly · doi:10.1086/266350 · Cited by 3,543 · see citing works
The spread of behavior in an online social network experiment
Centola, D. (2010) · Science · doi:10.1126/science.1185231 · Cited by 2,692 · see citing works
Models of core/periphery structures
Borgatti, S. P., & Everett, M. G. (2000) · Social Networks · doi:10.1016/s0378-8733(99)00019-2 · Cited by 2,248 · see citing works
Brokerage and Closure: An Introduction to Social Capital
Burt, R. S. (2005) · doi:10.1093/oso/9780199249145.001.0001 · Cited by 2,203 · see citing works
Theories of Communication Networks
Monge, P. R., & Contractor, N. (2003) · doi:10.1093/oso/9780195160369.001.0001 · Cited by 2,141 · see citing works
Watts, D. J. (1999) · Princeton University Press eBooks · doi:10.1515/9780691188331 · Cited by 2,106 · see citing works
Introduction to stochastic actor-based models for network dynamics
Snijders, T. A. B., van de Bunt, G. G., & Steglich, C. E. G. (2010) · Social Networks · doi:10.1016/j.socnet.2009.02.004 · Cited by 2,103 · see citing works
Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions
White, H. C., Boorman, S. A., & Breiger, R. L. (1976) · American Journal of Sociology · doi:10.1086/226141 · Cited by 2,097 · see citing works
An introduction to exponential random graph (p*) models for social networks
Robins, G. L., Pattison, P. E., Kalish, Y., & Lusher, D. (2006) · Social Networks · doi:10.1016/j.socnet.2006.08.002 · Cited by 2,001 · see citing works
Peer Effects with Random Assignment: Results for Dartmouth Roommates
Sacerdote, B. (2001) · The Quarterly Journal of Economics · doi:10.1162/00335530151144131 · Cited by 1,841 · see citing works
Structures of Mediation: A Formal Approach to Brokerage in Transaction Networks
Gould, R. V., & Fernandez, R. M. (1989) · Sociological Methodology · doi:10.2307/270949 · Cited by 1,345 · see citing works
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
Aral, S., Muchnik, L., & Sundararajan, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908800106 · Cited by 1,207 · see citing works
Identifying sets of key players in a social network
Borgatti, S. P. (2006) · Computational and Mathematical Organization Theory · doi:10.1007/s10588-006-7084-x · Cited by 1,176 · see citing works
Toward a “Critical Mass” Theory of Interactive Media
Markus, M. L. (1987) · Communication Research · doi:10.1177/009365087014005003 · Cited by 1,156 · see citing works
Boulos, M. N. K., Wheeler, S., Tavares, C., & Jones, R. B. (2011) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-10-24 · Cited by 1,071 · see citing works
Social network thresholds in the diffusion of innovations
Valente, T. W. (1996) · Social Networks · doi:10.1016/0378-8733(95)00256-1 · Cited by 1,055 · see citing works
Self-citationSocial Networks and Health: Models, Methods, and Applications
Valente, T. W. (2010) · doi:10.1093/acprof:oso/9780195301014.001.0001 · Cited by 933 · see citing works
Self-citationMaking Invisible Work Visible: Using Social Network Analysis to Support Strategic Collaboration
Cross, R., Borgatti, S. P., & Parker, A. (2002) · California Management Review · doi:10.2307/41166121 · Cited by 924 · see citing works
Identifying opinion leaders to promote behavior change
Valente, T. W., & Pumpuang, P. (2007) · Health Education & Behavior · doi:10.1177/1090198106297855 · Cited by 884 · see citing works
Self-citationAral, S., & Walker, D. (2011) · Management Science · doi:10.1287/mnsc.1110.1421 · Cited by 786 · see citing works
Accelerating the Diffusion of Innovations Using Opinion Leaders
Valente, T. W., & Davis, R. (1999) · The Annals of the American Academy of Political and Social Science · doi:10.1177/000271629956600105 · Cited by 707 · see citing works
Self-citationIs Voting Contagious? Evidence from Two Field Experiments
Nickerson, D. W. (2008) · American Political Science Review · doi:10.1017/s0003055408080039 · Cited by 608 · see citing works
Medley, A. M., Kennedy, C. E., O’Reilly, K., & Sweat, M. D. (2009) · AIDS Education and Prevention · doi:10.1521/aeap.2009.21.3.181 · Cited by 546 · see citing works
Doreian, P., Batagelj, V., & Ferligoj, A. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511584176 · Cited by 477 · see citing works
Sociometric Location and Innovativeness: Reformulation and Extension of the Diffusion Model
Becker, M. H. (1970) · American Sociological Review · doi:10.2307/2093205 · Cited by 446 · see citing works
Valente, T. W., Hoffman, B. R., Ritt-Olson, A., Lichtman, K., & Johnson, C. A. (2003) · American Journal of Public Health · doi:10.2105/ajph.93.11.1837 · Cited by 301 · see citing works
Self-citationValente, T. W., Ritt‐Olson, A., Stacy, A., Unger, J. B., Okamoto, J., & Sussman, S. (2007) · Addiction · doi:10.1111/j.1360-0443.2007.01992.x · Cited by 260 · see citing works
Self-citationAre Peer Interventions for HIV Efficacious? A Systematic Review
Simoni, J. M., Nelson, K. M., Franks, J. C., Yard, S. S., & Lehavot, K. (2011) · AIDS and Behavior · doi:10.1007/s10461-011-9963-5 · Cited by 233 · see citing works
Bridging: Locating critical connectors in a network
Valente, T. W., & Fujimoto, K. (2010) · Social Networks · doi:10.1016/j.socnet.2010.03.003 · Cited by 179 · see citing works
Self-citationLatkin, C. A., Donnell, D. J., Metzger, D. S., Sherman, S. G., Aramrattna, A., Davis-Vogel, A., Quan, V. M., Gandham, S., Vongchak, T., Perdue, T., et al. (2008) · Social Science & Medicine · doi:10.1016/j.socscimed.2008.11.019 · Cited by 163 · see citing works
Engineering social contagions: Optimal network seeding in the presence of homophily
Aral, S., Muchnik, L., & Sundararajan, A. (2013) · Network Science · doi:10.1017/nws.2013.6 · Cited by 152 · see citing works
Exploring the use of social network methods in designing healthcare quality improvement teams
Meltzer, D. O., Chung, J. W., Khalili, P., Marlow, E., Arora, V. M., Schumock, G. T., & Burt, R. (2010) · Social Science & Medicine · doi:10.1016/j.socscimed.2010.05.012 · Cited by 144 · see citing works
Kelly, J. A., Amirkhanian, Y. A., Kabakchieva, E., Vassileva, S., Vassilev, B., McAuliffe, T. L., DiFranceisco, W. J., Antonova, R., Petrova, E., Khoursine, R. A., et al. (2006) · BMJ · doi:10.1136/bmj.38992.478299.55 · Cited by 120 · see citing works
Lin, Z. “., Zhao, X., Ismail, K. M., & Carley, K. M. (2006) · Organization Science · doi:10.1287/orsc.1060.0210 · Cited by 119 · see citing works
The Internet and Health Communication: Experiences and Expectations
Rice, R. E., & Katz, J. E. (2001) · Sage eBooks · doi:10.4135/9781452233277 · Cited by 115 · see citing works
Starkey, F., Audrey, S., Holliday, J., Moore, L., & Campbell, R. M. (2009) · Health Education Research · doi:10.1093/her/cyp045 · Cited by 111 · see citing works
Latkin, C. A., Mandell, W., Vlahov, D., Oziemkowska, M., & Celentano, D. D. (1996) · American Journal of Community Psychology · doi:10.1007/bf02512026 · Cited by 101 · see citing works
Predictors of accuracy in perceiving informal social networks
Bondonio, D. (1998) · Social Networks · doi:10.1016/s0378-8733(98)00007-0 · Cited by 100 · see citing works
Collaboration and competition in a children's health initiative coalition: A network analysis
Valente, T. W., Coronges, K. A., Stevens, G. D., & Cousineau, M. R. (2008) · Evaluation and Program Planning · doi:10.1016/j.evalprogplan.2008.06.002 · Cited by 97 · see citing works
Self-citationInterdependencies and Social Processes: Dependence Graphs and Generalized Dependence Structures
Robins, G. L., & Pattison, P. E. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511811395.010 · Cited by 96 · see citing works
Strategies for Combating Dark Networks
Roberts, N., & Everton, S. F. (2011) · Journal of Social Structure · doi:10.21307/joss-2019-030 · Cited by 94 · see citing works
Implementing a 5-a-Day Peer Health Educator Program for Public Sector Labor and Trades Employees
Buller, D. B., Buller, M. K., Larkey, L., Sennott‐Miller, L., TAREN, D. L., Aickin, M. G., Wentzel, T. M., & Morrill, C. (2000) · Health Education & Behavior · doi:10.1177/109019810002700209 · Cited by 71 · see citing works
Induced, endogenous and exogenous centrality
Everett, M. G., & Borgatti, S. P. (2010) · Social Networks · doi:10.1016/j.socnet.2010.06.004 · Cited by 60 · see citing works
Reliability of Social Network Measurement Instruments
Hlebec, V., & Ferligoj, A. (2002) · Field Methods · doi:10.1177/15222x014003003 · Cited by 43 · see citing works
Lay health advisors: sexually transmitted disease prevention through community involvement.
Jc, T., Eng, E., Clark, M., Robinson, J., & Blumenthal, C. (1998) · PubMed · Cited by 33 · see citing works
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A taxonomy of behaviour change methods: an Intervention Mapping approach
Kok, G., Gottlieb, N. H., Peters, G.-J. Y., Mullen, P. D., Parcel, G. S., Ruiter, R. A. C., Fernández, M. E., Markham, C., & Bartholomew, L. K. (2016) · Health Psychology Review · doi:10.1080/17437199.2015.1077155 · Cited by 1,137 · see citing works
Collaborative environmental governance: Achieving collective action in social-ecological systems
Bodin, Ö. (2017) · Science · doi:10.1126/science.aan1114 · Cited by 1,136 · see citing works
Network analysis: a brief overview and tutorial
Hevey, D. (2018) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2018.1521283 · Cited by 1,115 · see citing works
State of the aRt personality research: A tutorial on network analysis of personality data in R
Costantini, G., Epskamp, S., Borsboom, D., Perugini, M., Mõttus, R., Waldorp, L., & Cramer, A. O. J. (2014) · Journal of Research in Personality · doi:10.1016/j.jrp.2014.07.003 · Cited by 1,004 · see citing works
Migratory Animals Couple Biodiversity and Ecosystem Functioning Worldwide
Bauer, S., & Hoye, B. J. (2014) · Science · doi:10.1126/science.1242552 · Cited by 914 · see citing works
Structure and dynamics of molecular networks: A novel paradigm of drug discovery
Csermely, P., Korcsmáros, T., Kiss, H., London, G., & Nussinov, R. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2013.01.016 · Cited by 889 · see citing works
Laranjo, L., Arguel, A., Neves, A. L., Gallagher, A. M., Kaplan, R., Mortimer, N., Mendes, G. A., & Lau, A. Y. S. (2015) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002841 · Cited by 661 · see citing works
Network analysis reveals open forums and echo chambers in social media discussions of climate change
Williams, H. T. P., McMurray, J. R., Kurz, T., & Hugo Lambert, F. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.03.006 · Cited by 631 · see citing works
Using Network Analysis to Identify Central Symptoms of Adolescent Depression
Mullarkey, M. C., Marchetti, I., & Beevers, C. G. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2018.1437735 · Cited by 496 · see citing works
Novel Models for Delivering Mental Health Services and Reducing the Burdens of Mental Illness
Kazdin, A. E., & Rabbitt, S. M. (2013) · Clinical Psychological Science · doi:10.1177/2167702612463566 · Cited by 465 · see citing works
Twenty years of social capital and health research: a glossary
Moore, S., & Kawachi, I. I. (2017) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2016-208313 · Cited by 424 · see citing works
Changing climates of conflict: A social network experiment in 56 schools
Paluck, E. L., Shepherd, H., & Aronow, P. M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1514483113 · Cited by 610 · see citing works
Social Network Assessments and Interventions for Health Behavior Change: A Critical Review
Latkin, C., & Knowlton, A. (2015) · Behavioral Medicine · doi:10.1080/08964289.2015.1034645 · Cited by 351 · see citing works
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
Hunter, R. F., de la Haye, K., Murray, J., Badham, J., Valente, T. W., Clarke, M. J., & Kee, F. (2019) · PLoS Medicine · doi:10.1371/journal.pmed.1002890 · Cited by 362 · see citing works
Self-citationDangers and Opportunities for Social Media in Medicine
GEORGE, D. R., ROVNIAK, L. S., & KRASCHNEWSKI, J. L. (2013) · Clinical Obstetrics & Gynecology · doi:10.1097/grf.0b013e318297dc38 · Cited by 352 · see citing works
Social Network Analysis for Program Implementation
Valente, T. W., Palinkas, L. A., Czaja, S., Chu, K.-H., & Brown, C. H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0131712 · Cited by 332 · see citing works
Self-citationCamacho, D., Panizo-LLedot, Á., Bello-Orgaz, G., González-Pardo, A., & Cambria, E. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.05.009 · Cited by 339 · see citing works
Exercise contagion in a global social network
Aral, S., & Nicolaides, C. (2017) · Nature Communications · doi:10.1038/ncomms14753 · Cited by 329 · see citing works
Kazdin, A. E. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12937 · Cited by 274 · see citing works
Perkins, J. M., Subramanian, S., & Christakis, N. (2014) · Social Science & Medicine (1967) · doi:10.1016/j.socscimed.2014.08.019 · Cited by 258 · see citing works
Society for Prevention Research Type 2 Translational Task Force Members and Contributing Authors, Spoth, R., Rohrbach, L. A., Greenberg, M., Leaf, P., Brown, C. H., Fagan, A., Catalano, R. F., Pentz, M. A., Sloboda, Z., et al. (2013) · Prevention Science · doi:10.1007/s11121-012-0362-6 · Cited by 283 · see citing works
Using Gossips to Spread Information: Theory and Evidence from Two Randomized Controlled Trials
Banerjee, A., Chandrasekhar, A. G., Duflo, E., & Jackson, M. O. (2019) · The Review of Economic Studies · doi:10.1093/restud/rdz008 · Cited by 280 · see citing works
Peer social network processes and adolescent health behaviors: A systematic review
Montgomery, S. C., Donnelly, M., Bhatnagar, P., Carlin, A., Kee, F., & Hunter, R. F. (2019) · Preventive Medicine · doi:10.1016/j.ypmed.2019.105900 · Cited by 245 · see citing works
Designing for Dissemination and Sustainability to Promote Equitable Impacts on Health
Kwan, B. M., Brownson, R. C., Glasgow, R. E., Morrato, E. H., & Luke, D. A. (2022) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-052220-112457 · Cited by 241 · see citing works
A review of machine learning in obesity
DeGregory, K. W., Kuiper, P. K., DeSilvio, T., Pleuss, J. D., Miller, R., Roginski, J. W., Fisher, C. B., Harness, D., Viswanath, S. E., Heymsfield, S. B., et al. (2018) · Obesity Reviews · doi:10.1111/obr.12667 · Cited by 222 · see citing works
Wildfire risk as a socioecological pathology
Fischer, A. P., Spies, T. A., Steelman, T. A., Moseley, C., Johnson, B. R., Bailey, J. D., Ager, A. A., Bourgeron, P., Charnley, S., Collins, B. M., et al. (2016) · Frontiers in Ecology and the Environment · doi:10.1002/fee.1283 · Cited by 218 · see citing works
The impact of multilevel networks on innovation
Guan, J., Zhang, J., & Yan, Y. (2015) · Research Policy · doi:10.1016/j.respol.2014.12.007 · Cited by 220 · see citing works
Social Networks and Health: New Developments in Diffusion, Online and Offline
Zhang, J., & Centola, D. M. (2019) · Annual Review of Sociology · doi:10.1146/annurev-soc-073117-041421 · Cited by 209 · see citing works
Four Ways We Can Improve Policy Diffusion Research
Gilardi, F. (2015) · State Politics & Policy Quarterly · doi:10.1177/1532440015608761 · Cited by 211 · see citing works
Valente, T. W., & Pitts, S. (2016) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044528 · Cited by 207 · see citing works
Self-citationSocial Media and the Science of Health Behavior
Centola, D. (2013) · Circulation · doi:10.1161/circulationaha.112.101816 · Cited by 193 · see citing works
Health Care 2020: Reengineering Health Care Delivery to Combat Chronic Disease
Milani, R. V., & Lavie, C. J. (2014) · The American Journal of Medicine · doi:10.1016/j.amjmed.2014.10.047 · Cited by 185 · see citing works
Targeting Interventions in Networks
Galeotti, A., Golub, B., & Goyal, S. (2020) · Econometrica · doi:10.3982/ecta16173 · Cited by 185 · see citing works
Kim, R. E. (2019) · International Studies Review · doi:10.1093/isr/viz052 · Cited by 194 · see citing works
Heeren, A., Jones, P. J., & McNally, R. J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.12.003 · Cited by 177 · see citing works
Akinosun, A. S., Polson, R., Diaz-Skeete, Y., Kock, J. H. D., Carragher, L., Leslie, S. J., Grindle, M., & Gorely, T. (2020) · JMIR mhealth and uhealth · doi:10.2196/21061 · Cited by 161 · see citing works
The adoption of photovoltaic systems in Wiesbaden, Germany
Müller, S., & Rode, J. (2013) · Economics of Innovation and New Technology · doi:10.1080/10438599.2013.804333 · Cited by 158 · see citing works
Does country-level R&D efficiency benefit from the collaboration network structure?
Guan, J., Zuo, K., Chen, K., & Yam, R. C. M. (2016) · Research Policy · doi:10.1016/j.respol.2016.01.003 · Cited by 158 · see citing works
Hopelessness: A Network Analysis
Marchetti, I. (2018) · Cognitive Therapy and Research · doi:10.1007/s10608-018-9981-y · Cited by 167 · see citing works
Cascading behaviour in complex socio-technical networks
Borge‐Holthoefer, J., Baños, R. A., González‐Bailón, S., & Moreno, Y. (2013) · Journal of Complex Networks · doi:10.1093/comnet/cnt006 · Cited by 151 · see citing works
Social capital interventions in public health: A systematic review
Villalonga-Olives, E., Wind, T. R., & Kawachi, I. I. (2018) · Social Science & Medicine · doi:10.1016/j.socscimed.2018.07.022 · Cited by 148 · see citing works
Engineering social contagions: Optimal network seeding in the presence of homophily
Aral, S., Muchnik, L., & Sundararajan, A. (2013) · Network Science · doi:10.1017/nws.2013.6 · Cited by 152 · see citing works
Rambaran, A. J., Hopmeyer, A., Schwartz, D., Steglich, C., Badaly, D., & Veenstra, R. (2016) · Child Development · doi:10.1111/cdev.12611 · Cited by 150 · see citing works
Resurgence of Syphilis in the United States: An Assessment of Contributing Factors
Schmidt, R., Carson, P. J., & Jansen, R. J. (2019) · Infectious Diseases Research and Treatment · doi:10.1177/1178633719883282 · Cited by 145 · see citing works
Integrated knowledge translation: digging deeper, moving forward
Kothari, A. R., & Wathen, C. N. (2017) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2016-208490 · Cited by 139 · see citing works
Harris, J. K., Moreland‐Russell, S., Choucair, B., Mansour, R., Staub, M., & Simmons, K. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3622 · Cited by 134 · see citing works
Shelton, R. C., Lee, M., Brotzman, L., Crookes, D. M., Jandorf, L. H., Erwin, D. O., & Gage‐Bouchard, E. A. (2018) · Social Science & Medicine · doi:10.1016/j.socscimed.2018.10.013 · Cited by 136 · see citing works
Massey, P. M., Kearney, M. D., Hauer, M. K., Selvan, P., Koku, E. F., & Leader, A. E. (2020) · Journal of Medical Internet Research · doi:10.2196/21451 · Cited by 130 · see citing works
Spillover effects in epidemiology: parameters, study designs and methodological considerations
Benjamin‐Chung, J., Arnold, B. F., Berger, D., Luby, S. P., Miguel, E. A., Colford, J. M., & Hubbard, A. (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyx201 · Cited by 116 · see citing works
Social network diagnostics: A tool for monitoring group interventions
Gesell, S. B., Barkin, S. L., & Valente, T. W. (2013) · Implementation Science · doi:10.1186/1748-5908-8-116 · Cited by 120 · see citing works
Self-citationEnhancing implementation science by applying best principles of systems science
Northridge, M. E., & Metcalf, S. S. (2016) · Health Research Policy and Systems · doi:10.1186/s12961-016-0146-8 · Cited by 116 · see citing works
Young, L. E., Schumm, L. P., Alon, L., Bouris, A. M., Ferreira, M. J., Hill, B. J., Khanna, A. S., Valente, T. W., & Schneider, J. A. (2017) · Clinical Trials · doi:10.1177/1740774517730012 · Cited by 114 · see citing works
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Gates, A. J., & Rocha, L. M. (2016) · Scientific Reports · doi:10.1038/srep24456 · Cited by 115 · see citing works
Using social‐network research to improve outcomes in natural resource management
Groce, J. E., Farrelly, M. A., Jorgensen, B. S., & Cook, C. N. (2018) · Conservation Biology · doi:10.1111/cobi.13127 · Cited by 112 · see citing works
Integrating social networks and human social motives to achieve social influence at scale
Contractor, N., & DeChurch, L. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1401211111 · Cited by 114 · see citing works
Kim, H. Y., & Cappella, E. (2016) · American Journal of Community Psychology · doi:10.1002/ajcp.12022 · Cited by 111 · see citing works
Wyman, P. A., Pickering, T. A., Pisani, A. R., Rulison, K. L., Schmeelk‐Cone, K., Hartley, C. M., Gould, M. S., Caine, E. D., LoMurray, M., Brown, C. H., et al. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13102 · Cited by 110 · see citing works
Self-citationAger, A. A., Kline, J. D., & Fischer, A. P. (2015) · Risk Analysis · doi:10.1111/risa.12373 · Cited by 108 · see citing works
Deconstructing trait anxiety: a network perspective
Heeren, A., Bernstein, E. E., & McNally, R. J. (2018) · Anxiety Stress & Coping · doi:10.1080/10615806.2018.1439263 · Cited by 107 · see citing works
Heeren, A., & McNally, R. J. (2017) · Cognitive Therapy and Research · doi:10.1007/s10608-017-9876-3 · Cited by 102 · see citing works
Young, S. D., Holloway, I. W., Jaganath, D., Rice, E. R. W., Westmoreland, D. A., & Coates, T. J. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.301992 · Cited by 104 · see citing works
Innovation diffusion within large environmental NGOs through informal network agents
Masuda, Y. J., Liu, Y., Reddy, S. M. W., Frank, K. A., Burford, K., Fisher, J. R. B., & Montambault, J. R. (2018) · Nature Sustainability · doi:10.1038/s41893-018-0045-9 · Cited by 104 · see citing works
Quantitative methods of identifying the key nodes in the illegal wildlife trade network
Patel, N., Rorres, C., Joly, D. O., Brownstein, J. S., Boston, R., Levy, M. Z., & Smith, G. R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500862112 · Cited by 101 · see citing works
Social media behavior is associated with vaccine hesitancy
Rathje, S., He, J. K., Roozenbeek, J., Van Bavel, J. J., & van der Linden, S. (2022) · PNAS Nexus · doi:10.1093/pnasnexus/pgac207 · Cited by 100 · see citing works
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
Barnes, M. L., Arita, S., Allen, S., Gray, S. A., & Leung, P. (2013) · Ecology and Society · doi:10.5751/es-05295-180123 · Cited by 99 · see citing works
Zhang, J., Tong, L., Lamberson, P. J., Durazo-Arvizu, R. A., Luke, A., & Shoham, D. A. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2014.05.049 · Cited by 97 · see citing works
Fischer, A. P., & Jasny, L. (2017) · Ecology and Society · doi:10.5751/es-08867-220123 · Cited by 99 · see citing works
How the study of networks informs knowledge translation and implementation: a scoping review
Glegg, S., Jenkins, E., & Kothari, A. R. (2019) · Implementation Science · doi:10.1186/s13012-019-0879-1 · Cited by 98 · see citing works
Adapting Standards: Ethical Oversight of Participant-Led Health Research
Vayena, E., & Tasioulas, J. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001402 · Cited by 96 · see citing works
Reexamining trait rumination as a system of repetitive negative thoughts: A network analysis
Bernstein, E. E., Heeren, A., & McNally, R. J. (2018) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2018.12.005 · Cited by 96 · see citing works
Network interventions for managing the COVID-19 pandemic and sustaining economy
Nishi, A., Dewey, G., Endo, A., Neman, S., Iwamoto, S. K., Ni, M. Y., Tsugawa, Y., Iosifidis, G., Smith, J. D., & Young, S. D. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014297117 · Cited by 94 · see citing works
Network analysis of depressive symptoms in Hong Kong residents during the COVID-19 pandemic
Cheung, T. C. C., Jin, Y., Lam, S. C., Su, Z., Hall, B. J., Xiang, Y., Suen, L. K. P., Chan, S., Ho, H., Lam, H. K. B., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01543-z · Cited by 98 · see citing works
Building blocks of polycentric governance
Morrison, T. H., Bodin, Ö., Cumming, G. S., Lubell, M. N., Seppelt, R., Seppelt, T., & Weible, C. M. (2023) · Policy Studies Journal · doi:10.1111/psj.12492 · Cited by 96 · see citing works
Blocking Simple and Complex Contagion by Edge Removal
Kuhlman, C. J., Tuli, G., Swarup, S., MARATHE, M. V., & Ravi, S. S. (2013) · Proceedings · doi:10.1109/icdm.2013.47 · Cited by 92 · see citing works
Sabot, K., Wickremasinghe, D., Blanchet, K., Avan, B. I., & Schellenberg, J. (2017) · Systematic Reviews · doi:10.1186/s13643-017-0597-1 · Cited by 92 · see citing works
Digital social networks and health
Lefebvre, R. C., & Bornkessel, A. S. (2013) · Circulation · doi:10.1161/circulationaha.112.000897 · Cited by 90 · see citing works
Peer influence processes for youth delinquency and depression
Reynolds, A. D., & Crea, T. M. (2015) · Journal of Adolescence · doi:10.1016/j.adolescence.2015.05.013 · Cited by 88 · see citing works
What Determines Social Capital in a Social–Ecological System? Insights from a Network Perspective
Barnes, M. L., Gray, S., Arita, S., Lynham, J. M., & Leung, P. (2014) · Environmental Management · doi:10.1007/s00267-014-0395-7 · Cited by 88 · see citing works
Inducing Peer Pressure to Promote Cooperation
Mani, A., Rahwan, I., & Pentland, A. (2013) · Scientific Reports · doi:10.1038/srep01735 · Cited by 88 · see citing works
It’s the Quality Not the Quantity of Ties That Matters
Siciliano, M. D. (2016) · American Educational Research Journal · doi:10.3102/0002831216629207 · Cited by 87 · see citing works
Smith, N., Zivich, P. N., Frerichs, L., Moody, J. W., & Aiello, A. E. (2020) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2020.04.015 · Cited by 87 · see citing works
Boda, Z., Elmer, T., Vörös, A., & Stadtfeld, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-59594-z · Cited by 87 · see citing works
Blok, D. J., de Vlas, S. J., van Empelen, P., & van Lenthe, F. J. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.02.012 · Cited by 86 · see citing works
Bauld, L., Graham, H. M., Sinclair, L., Flemming, K., Naughton, F., Ford, A., McKell, J., McCaughan, D., Hopewell, S., Angus, K., et al. (2017) · Health Technology Assessment · doi:10.3310/hta21360 · Cited by 83 · see citing works
Diffusion of treatment in social networks and mass drug administration
Chami, G. F., Kontoleon, A. A., Bulte, E., Fenwick, A., Kabatereine, N. B., Tukahebwa, E. M., & Dunne, D. W. (2017) · Nature Communications · doi:10.1038/s41467-017-01499-z · Cited by 85 · see citing works
Harnessing social networks for promoting adoption of energy technologies in the domestic sector
Bale, C. S. E., McCullen, N., Foxon, T. J., Rucklidge, A. M., & Gale, W. F. (2013) · Energy Policy · doi:10.1016/j.enpol.2013.09.033 · Cited by 84 · see citing works
Strengthening networks: A social network intervention among higher education teachers
Waes, S. V., Mæyer, S. D., Moolenaar, N. M., Petegem, P. V., & den Bossche, P. V. (2017) · Learning and Instruction · doi:10.1016/j.learninstruc.2017.07.005 · Cited by 83 · see citing works
Applications of social network analysis to obesity: a systematic review
Zhang, S., de la Haye, K., Ji, M., & An, R. (2018) · Obesity Reviews · doi:10.1111/obr.12684 · Cited by 82 · see citing works
A Platform for AI-Enabled Real-Time Feedback to Promote Digital Collaboration
Porter, B., & Grippa, F. (2020) · Sustainability · doi:10.3390/su122410243 · Cited by 94 · see citing works
A Statewide Common Elements Initiative for Children’s Mental Health
Dorsey, S., Berliner, L., Lyon, A. R., Pullmann, M. D., & Murray, L. K. (2014) · The Journal of Behavioral Health Services & Research · doi:10.1007/s11414-014-9430-y · Cited by 81 · see citing works
Levy, M. A., & Lubell, M. N. (2017) · Regional Environmental Change · doi:10.1007/s10113-017-1258-6 · Cited by 79 · see citing works
Social Media and Health Behavior Change
Laranjo, L. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-809269-9.00006-2 · Cited by 84 · see citing works
A network accident causation model for monitoring railway safety
Li, K., & Wang, S. (2018) · Safety Science · doi:10.1016/j.ssci.2018.06.008 · Cited by 79 · see citing works
Po'e, E. K., Heerman, W. J., Mistry, R. S., & Barkin, S. L. (2013) · Contemporary Clinical Trials · doi:10.1016/j.cct.2013.08.013 · Cited by 78 · see citing works
Stigma Toward Substance Dependence: Causes, Consequences, and Potential Interventions
Krendl, A. C., & Perry, B. L. (2023) · Gothic.net · doi:10.1177/15291006231198193 · Cited by 84 · see citing works
Social networks and neurological illness
Dhand, A., Luke, D. A., Lang, C. E., & Lee, J. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.119 · Cited by 79 · see citing works
The network of conscientiousness
Costantini, G., & Perugini, M. (2016) · Journal of Research in Personality · doi:10.1016/j.jrp.2016.10.003 · Cited by 79 · see citing works
Ralston, A. L., Andrews, A. R., & Hope, D. A. (2019) · Clinical Psychology: Science and Practice · doi:10.1111/cpsp.12277 · Cited by 76 · see citing works
- Authors
- Valente, T. W.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Valente, Thomas W.
- ORCID
- Valente, Thomas W.
- Venue
- Science
- Published
- 2012-07-06
- Volume
- 337
- Issue
- 6090
- Pages
- 49-53
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W4212942297
- Cited by
- 1,271
- References
- 52
- Citations by year
- 2026: 89 · 2025: 105 · 2024: 95 · 2023: 88 · 2022: 126 · 2021: 123 · 2020: 114 · 2019: 108 · 2018: 94 · 2017: 84 · 2016: 69 · 2015: 80 · 2014: 51 · 2013: 40 · 2012: 5
- FWCI
- 2.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (RC1AA019239)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Keywords
- network intervention, social network data, behavior change, organizational performance, social networks, intervention strategies, mathematical algorithms, social environment
- MeSH terms
- Behavior, Group Processes, Humans, Organizational Innovation, Policy Making, Health Behavior, Randomized Controlled Trials as Topic, Efficiency, Organizational, Internet, Electronic Mail, Social Networking
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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