المؤلفون: Feng, Derek, Altmeyer, Randolf, Stafford, Derek, Christakis, Nicholas A., Zhou, Harrison H.

مصطلحات موضوعية: Statistics - Methodology, Computer Science - Social and Information Networks, Physics - Physics and Society

الوصول الحر: http://arxiv.org/abs/1808.05260Test

المؤلفون: Shakya, Holly B, Stafford, Derek, Hughes, D Alex, Keegan, Thomas, Negron, Rennie, Broome, Jai, McKnight, Mark, Nicoll, Liza, Nelson, Jennifer, Iriarte, Emma, Ordonez, Maria, Airoldi, Edo, Fowler, James H, Christakis, Nicholas A

المصدر: BMJ open. 7(3)

مصطلحات موضوعية: Humans, Infant Mortality, Health Knowledge, Attitudes, Practice, Health Behavior, Family, Family Characteristics, Counseling, Public Health, Residence Characteristics, Health Education, Pregnancy, Algorithms, Research Design, Developing Countries, Social Environment, Adult, Infant, Rural Population, Health Promotion, Honduras, Female, Male, Child Health, Maternal Health, SOCIAL MEDICINE, Health Knowledge, Attitudes, Practice, Clinical Sciences, Public Health and Health Services, Other Medical and Health Sciences

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/4pm699xdTest

المؤلفون: Shakya, Holly B, Hughes, D Alex, Stafford, Derek, Christakis, Nicholas A, Fowler, James H, Silverman, Jay G

المصدر: BMC Public Health. 16(1)

مصطلحات موضوعية: Epidemiology, Health Services and Systems, Public Health, Health Sciences, Violence Research, Behavioral and Social Science, Violence Against Women, Mental Health, Clinical Research, Gender Equality, Peace, Justice and Strong Institutions, Adult, Family Characteristics, Female, Honduras, Humans, Intimate Partner Violence, Male, Middle Aged, Prevalence, Rural Population, Social Norms, Social Support, Young Adult, Intimate partner violence, Social norms, Social network analysis, Public Health and Health Services, Health services and systems, Public health

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/0fw4d5fcTest

المؤلفون: Kim, David A, Hwong, Alison R, Stafford, Derek, Hughes, D Alex, O'Malley, A James, Fowler, James H, Christakis, Nicholas A

المصدر: The Lancet. 386(9989)

مصطلحات موضوعية: Public Health, Health Sciences, Prevention, Clinical Trials and Supportive Activities, Clinical Research, Prevention of disease and conditions, and promotion of well-being, 3.1 Primary prevention interventions to modify behaviours or promote wellbeing, Generic health relevance, Cancer, Adult, Disinfection, Female, Health Behavior, Health Knowledge, Attitudes, Practice, Health Promotion, Honduras, Humans, Male, Medication Adherence, Micronutrients, Middle Aged, Rural Health, Social Change, Social Class, Social Networking, Sodium Hypochlorite, Vitamins, Water Purification, Young Adult, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/51n5n0frTest

المؤلفون: Shakya, Holly, Hughes, D., Stafford, Derek, Christakis, Nicholas, Fowler, James, Silverman, Jay

مصطلحات موضوعية: Intimate partner violence, Social norms, Social network analysis, Honduras

العلاقة: http://www.biomedcentral.com/1471-2458/16/233Test

الإتاحة: http://www.biomedcentral.com/1471-2458/16/233Test

المؤلفون: Feng, Derek, Altmeyer, Randolf, Stafford, Derek, Christakis, Nicholas A., Zhou, Harrison H.

المساهمون: Division of Mathematical Sciences, NSF

المصدر: Journal of the American Statistical Association ; volume 117, issue 537, page 156-174 ; ISSN 0162-1459 1537-274X

الإتاحة: https://doi.org/10.1080/01621459.2020.1764850Test

المؤلفون: Feng, Derek, Altmeyer, Randolf, Stafford, Derek, Christakis, Nicholas A., Zhou, Harrison H.

المصدر: Journal of the American Statistical Association; Mar2022, Vol. 117 Issue 537, p156-174, 19p

مصطلحات موضوعية: EQUILIBRIUM testing, SOCIAL networks, ODD numbers, SOCIAL interaction, CENTRAL limit theorem

مصطلحات جغرافية: HONDURAS

المؤلفون: Stafford, Derek

المصدر: British Dental Journal ; volume 202, issue 11, page 701-701 ; ISSN 0007-0610 1476-5373

مصطلحات موضوعية: General Dentistry

الإتاحة: https://doi.org/10.1038/bdj.2007.492Test
http://www.nature.com/articles/bdj.2007.492.pdfTest
http://www.nature.com/articles/bdj.2007.492Test

المؤلفون: Naccarato, Toni, Bruce, Emily J., Stafford, Derek J., Hawkes, Nathaniel

المصدر: Handbook of Foster Youth ; page 282-300 ; ISBN 9781351168243

الإتاحة: https://doi.org/10.4324/9781351168243-15Test

المؤلفون: Wu, Jiacheng, Crawford, Forrest W., Kim, David A., Stafford, Derek, Christakis, Nicholas A.

مصطلحات موضوعية: social network, diffusion of innovations, competing risks, Statistics and Numeric Data, Public Health, Medicine (General), Social Sciences, Health Sciences, Science

وصف الملف: application/pdf

العلاقة: Wu, Jiacheng; Crawford, Forrest W.; Kim, David A.; Stafford, Derek; Christakis, Nicholas A. (2018). "Exposure, hazard, and survival analysis of diffusion on social networks." Statistics in Medicine 37(17): 2561-2585.; https://hdl.handle.net/2027.42/144676Test; Statistics in Medicine; Centola D. An experimental study of homophily in the adoption of health behavior. Science. 2011; 334 ( 6060 ): 1269 ‐ 1272.; Coviello L, Sohn Y, Kramer AD, et al. Detecting emotional contagion in massive social networks. PloS One. 2014; 9 ( 3 ): e90315.; Hill AL, Rand DG, Nowak MA, Christakis NA. Emotions as infectious diseases in a large social network: the SISa model. Proc R Soc London B: Biol Sci. 2010; 277 ( 1701 ): 3827 ‐ 3835.; VanderWeele TJ, An W. Social networks and causal inference. Handbook of Causal Analysis for Social Research. New York, NY: Springer; 2013: 353 ‐ 374.; Crawford FW. The graphical structure of respondent‐driven sampling. Sociol Method. 2016; 46 ( 1 ): 187 ‐ 211.; Cox DR. Regression models and life tables (with discussion). J R Stat Soc. 1972; 34: 187 ‐ 220.; Klein JP, Moeschberger ML. Survival Analysis: Techniques for Censored and Truncated Data. New York: Springer Science & Business Media; 2005.; Feld SL. Why your friends have more friends than you do. Am J Sociol. 1991; 96 ( 6 ): 1464 ‐ 1477.; Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Stat Assoc. 1958; 53 ( 282 ): 457 ‐ 481.; Akaike H. Likelihood of a model and information criteria. J Econometrics. 1981; 16 ( 1 ): 3 ‐ 14.; Aalen OO. A linear regression model for the analysis of life times. Stat Med. 1989; 8 ( 8 ): 907 ‐ 925.; Aral S, Walker D. Creating social contagion through viral product design: a randomized trial of peer influence in networks. Manage Sci. 2011; 57 ( 9 ): 1623 ‐ 1639.; Rand DG, Arbesman S, Christakis NA. Dynamic social networks promote cooperation in experiments with humans. Proc Nat Acad Sci. 2011; 108 ( 48 ): 19193 ‐ 19198.; Onnela JP, Christakis NA. Spreading paths in partially observed social networks. Phys Rev E. 2012; 85 ( 3 ): 036106.; Hudgens MG, Halloran ME. Causal vaccine effects on binary postinfection outcomes. J Am Stat Assoc. 2006; 101 ( 473 ): 51 ‐ 64.; Rosenbaum PR. Interference between units in randomized experiments. J Am Stat Assoc. 2012; 102 ( 477 ): 191 ‐ 200.; Hudgens MG, Halloran ME. Toward causal inference with interference. J Am Stat Assoc. 2008; 103 ( 482 ): 832 ‐ 842.; Christakis NA, Fowler JH. Social contagion theory: examining dynamic social networks and human behavior. Stat Med. 2013; 32 ( 4 ): 556 ‐ 577.; Staples PC, Ogburn EL, Onnela JP. Incorporating contact network structure in cluster randomized trials. Sci Rep. 2015; 5: 17581.; Toulis P, Kao EK. Estimation of causal peer influence effects. In: Atlanta, Georgia, USA: ICML (3); 2013: 1489 ‐ 1497.; Aronow PM, Samii C. Estimating average causal effects under general interference, with application to a social network experiment. Ann Appl Stat. 2017; 11 ( 4 ): 1912 ‐ 1947.; Ogburn EL, VanderWeele TJ, et al. Causal diagrams for interference. Stat Sci. 2014; 29 ( 4 ): 559 ‐ 578.; Fu F, Christakis NA, Fowler JH. Dueling Biological and Social Contagions, Scientific Reports 7: 43634 (March 2017 ). https://doi.org/10.1038/srep43634Test; Akaike H. Information theory and an extension of the maximum likelihood principle. Selected Papers of Hirotugu Akaike: Springer; 1998: 199 ‐ 213.; Cai C, Zou Y, Peng Y, Zhang J. smcure: an r‐package for estimating semiparametric mixture cure models. Comput Methods Programs Biomed. 2012; 108 ( 3 ): 1255 ‐ 1260.; Valente TW. Network models of the diffusion of innovations. Comput Math Organiz Theory. 1996; 2 ( 2 ): 163 ‐ 164.; Rogers EM. Diffusion of Innovations. New York: Simon & Schuster; 2010.; Ryan B, Gross NC. The diffusion of hybrid seed corn in two Iowa communities. Rural Sociol. 1943; 8 ( 1 ): 15 ‐ 24.; Coleman JS, Katz E, Menzel H, et al. Medical Innovation: A Diffusion Study. New York: Bobbs‐Merrill Company Indianapolis; 1966.; Burt RS. Social contagion and innovation: cohesion versus structural equivalence. Am J Sociol. 1987; 92 ( 6 ): 1287 ‐ 1335.; Van den Bulte C, Lilien GL. Medical innovation revisited: social contagion versus marketing effort. Am J Sociol. 2001; 106 ( 5 ): 1409 ‐ 1435.; Friedkin NE. A multilevel event history model of social diffusion: medical innovation revisited. J Math Sociol. 2010; 34 ( 2 ): 146 ‐ 155.; Banerjee A, Chandrasekhar AG, Duflo E, Jackson MO. The diffusion of microfinance. Science. 2013; 341 ( 6144 ):1236498.; Valente TW. Network interventions. Science. 2012; 337 ( 6090 ): 49 ‐ 53.; Valente TW, Ritt‐Olson A, Stacy A, Unger JB, Okamoto J, Sussman S. Peer acceleration: effects of a social network tailored substance abuse prevention program among high‐risk adolescents. Addiction. 2007; 102 ( 11 ): 1804 ‐ 1815.; Centola D. The spread of behavior in an online social network experiment. Science. 2010; 329 ( 5996 ): 1194 ‐ 1197.; Park J, Chung K, Han D, Lee S. Mothers clubs and family planning in Korea. Seoul Korea Seoul National University School of Public Health May 1974. 312; 1974.; Rogers EM, Kincaid DL. Communication Networks: Toward a New Paradigm for Research. New York: Free Press; 1981.; Valente TW, Watkins SC, Jato MN, Van Der Straten A, Tsitsol LPM. Social network associations with contraceptive use among Cameroonian women in voluntary associations. Social Sci Med. 1997; 45 ( 5 ): 677 ‐ 687.; Wellin E. Water boiling in a Peruvian town. In: Paul BD, ed. Health, Culture and Community. New York: Russell Sage; 1955: 71 ‐ 104.; Gruhl D, Guha R, Liben‐Nowell D, Tomkins A. Information diffusion through blogspace. In: Proceedings of the 13th International Conference on World Wide Web ACM; 2004; New York: 491 ‐ 501.; Liben‐Nowell D, Kleinberg J. Tracing information flow on a global scale using internet chain‐letter data. Proc Nat Acad Sci. 2008; 105 ( 12 ): 4633 ‐ 4638.; Cha M, Mislove A, Gummadi KP. A measurement‐driven analysis of information propagation in the Flickr social network. In: Proceedings of the 18th International Conference on World Wide Web ACM; 2009; New York, NY: 721 ‐ 730.; Cha M, Haddadi H, Benevenuto F, Gummadi PK. Measuring user influence in Twitter: the million follower fallacy. ICWSM. 2010; 10: 10 ‐ 17.; Bakshy E, Hofman JM, Mason WA, Watts DJ. Everyone’s an influencer: quantifying influence on Twitter. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining ACM; 2011; New York: 65 ‐ 74.; González‐Bailón S, Borge‐Holthoefer J, Rivero A, Moreno Y. The dynamics of protest recruitment through an online network. Sci Rep. 2011; 1: 197.; Lerman K, Ghosh R, Surachawala T. Social contagion: an empirical study of information spread on Digg and Twitter follower graphs. arXiv preprint arXiv:1202.3162. 2012.; Bass FM. A new product growth for model consumer durables. Manage Sci. 1969; 15 ( 5 ): 215 ‐ 227.; Borge‐Holthoefer J, Baños RA, González‐Bailón S, Moreno Y. Cascading behaviour in complex socio‐technical networks. J Complex Networks. 2013; 1 ( 1 ): 3 ‐ 24.; Valente TW. Social network thresholds in the diffusion of innovations. Social Networks. 1996; 18 ( 1 ): 69 ‐ 89.; Guardiola X, Diaz‐Guilera A, Perez CJ, Arenas A, Llas M. Modeling diffusion of innovations in a social network. Phys Rev E. 2002; 66 ( 2 ): 026121.; Wang P, González MC, Hidalgo CA, Barabási AL. Understanding the spreading patterns of mobile phone viruses. Science. 2009; 324 ( 5930 ): 1071 ‐ 1076.; Granovetter M. Threshold models of collective behavior. Am J Sociol. 1978; 83 ( 6 ): 1420 ‐ 1443.; Granovetter M, Soong R. Threshold models of diffusion and collective behavior. J Math Sociol. 1983; 9 ( 3 ): 165 ‐ 179.; Granovetter M, Soong R. Threshold models of interpersonal effects in consumer demand. J Econ Behav Organiz. 1986; 7 ( 1 ): 83 ‐ 99.; Marsden PV, Podolny J. Dynamic analysis of network diffusion processes. In: Weesie J, Flap H, eds. Social Networks Through Time. Utrecht: ISOR/Rijksuniversiteit Utrecht; 1990: 197 ‐ 214.; Strang D. From dependency to sovereignty: an event history analysis of decolonization 1870‐1987. Am Sociol Rev. 1990; 55 ( 6 ): 846 ‐ 860.; Strang D. Adding social structure to diffusion models an event history framework. Sociol Methods Res. 1991; 19 ( 3 ): 324 ‐ 353.; Strang D, Tuma NB. Spatial and temporal heterogeneity in diffusion. American Journal of Sociology. 1993; 99 ( 3 ): 614 ‐ 639.; Greve HR, Strang D, Tuma NB. Specification and estimation of heterogeneous diffusion models. Sociol Method. 1995; 25: 377 ‐ 420.; Valente TW, Dyal SR, Chu KH, Wipfli H, Fujimoto K. Diffusion of innovations theory applied to global tobacco control treaty ratification. Social Sci Med. 2015; 145: 89 ‐ 97.; Valente TW. Network models and methods for studying the diffusion of innovations. In: Carrington PJ, Scott J, Wasserman S, eds. Models and Methods in Social Network Analysis. New York, NY: Cambridge University Press; 2005: 98 ‐ 116.; Allison PD. Discrete‐time methods for the analysis of event histories. Sociol Method. 1982; 13 ( 1 ): 61 ‐ 98.; Myers DJ. The diffusion of collective violence: infectiousness, susceptibility, and mass media networks. Am J Sociol. 2000; 106 ( 1 ): 173 ‐ 208.; Greenan CC. Diffusion of innovations in dynamic networks. J R Stat Soc Ser A. 2015; 178 ( 1 ): 147 ‐ 166.; Bond RM, Fariss CJ, Jones JJ, et al. A 61‐million‐person experiment in social influence and political mobilization. Nature. 2012; 489 ( 7415 ): 295 ‐ 298.; Kim DA, Hwong AR, Stafford D, et al. Social network targeting to maximise population behaviour change: a cluster randomised controlled trial. The Lancet. 2015; 386 ( 9989 ): 145 ‐ 153.

الإتاحة: https://doi.org/10.1002/sim.7658Test
https://doi.org/10.1038/srep43634Test
https://hdl.handle.net/2027.42/144676Test