Aharony, N., Pan, W., Ip, C., Khayal, I. & Pentland, A. (2011). The Social fMRI:
Measuring, Understanding and Designing Social Mechanisms in the Real World.
UbiComp Sept. 17th-21st. Beijing, China.
Aldhous, P. (2008). How the MySpace mindset can boost medical science. New Scientist,
2656, 26-27.
Anderson, C., (2008). The End of Theory: The Data Deluge Makes the Scientific Method
Obsolete. Wired Magazine (23rd June).
http://www.wired.com/science/discoveries/magazine/16-07/pb_theory. (Accessed 6/4/12)
Anderson, P.W. (1972). More Is Different. Science, 177(4047), 393-396.
Arthritis Care, 2009. Medicine and Me: Arthritis 21st April, Royal Society of Medicine
http://www.arthritiscare.org.uk/PublicationsandResources/Listedbytype/Conferences
(Accessed 26/8/11)
Armstrong, D., Reyburn, H., & Jones, R. (1996). A study of general practitioners' reasons
for changing their prescribing behaviour. British Medical Journal, 312(7036), 949-952.
Ashworth, M., Charlton, J., Ballard, K., Latinovic, R., & Gulliford, M. (2005).
Variations in antibiotic prescribing and consultation rates for acute respiratory infection
in UK general practices 1995-2000. British Journal of General Practice, 55(517), 603-
608.
Association of American Medical Colleges. (1999). Contemporary Issues in Medicine:
Communication in Medicine. Washington DC, Association of American Medical
Colleges.
Barabási, A-L. (2002). Linked: the new science of networks. Cambridge, Mass: Perseus.
Bensing, J. (2000). Bridging the gap. The separate worlds of evidence-based medicine
and patient-centered medicine. Patient Education & Counselling, 39(1), 17-25.
Blumenthal, D., (2010). Launching HITECH. New England Journal of Medicine, 362(5),
382-385.
Blumenthal, D., (2011). Implementation of the Federal Health Information Technology
Initiative. New England Journal of Medicine, 365(25), 2426-2431.
Bollier, D., (2010) The Promise and Peril of Big Data. Washington: The Aspen Institute.
Bonaccorso, S., & Sturchio, J. (2002). For and against: direct to consumer advertising is
medicalising normal human experience. British Medical Journal, 324(7342), 910-911.
Boyd, D., Golder, S. & Lotan, G. (2010). Tweet, tweet, retweet: conversational aspects of
retweeting on Twitter. HICSS-43. IEEE Computer Society, Jan. 5th-8th. Kauai, Hawaii.
Buchan, I., Ainsworth, J., Carruthers, E., Couch, P., O'Flaherty, M., Smith, D., Williams,
R., & Capewell, S. (2010). IMPACT: A generalisable system for simulating public health
interventions. Studies in Health Technology and Health Informatics, 160(Pt 1), 486-490.
Buldyrev, S.V., Parshani, R., Paul, G., Stanley, H.E., & Havlin, S. (2010). Catastrophic
cascade of failures in interdependent networks. Nature. 464, 1025-1028.
Butler, C., Rollnick, S., Pill, R., Maggs-Rapport, F., & Scott, N. (1998). Understanding
the culture of prescribing: qualitative study of general practitioners' and patients'
perceptions of antibiotics for sore throats. British Medical Journal, 317, 637-642.
Butler C., Hood, K., Verheij, T., Little, P., Melbye, H., Nuttall J., Kelly, M., Almirall, J.,
Torres, A., Gillespie, P., Rautakorpi, U., Coenen, S., & Goossens, H. (2009) Variation in
antibiotic prescribing and its impact on recovery in patients with acute cough in primary
care: prospective study in 13 countries. British Medical Journal 338, DOI: b2242.
Cain Miller, C. (2008). Social networking for patients. New York Times, October 24th
http://bits.blogs.nytimes.com/2008/10/24/social-networking-for-patients/ (Accessed
25/8/11).
Caldarelli, G. (2007). Scale-Free Networks: Complex Webs in Nature and Technology.
Oxford: OUP.
Charness, G., Karni, E., & Levin, D. (2006) Individual and Group Decision Making
Under Risk: An Experimental Study of Bayesian Updating and Violations of First-order
Stochastic Dominance. Discussion Paper, University of Santa Barbara.
Cotter, T.F. (2006). Some Observations on the Law and Economics of Intermediaries.
Michigan State Law Review, 2006(1), 67-82.
Crawford, M., Rutter, D., Manley, C., Weaver, T., Bhui, K., Fulop, N., & Tyrer, P.
(2002). Systematic review of involving patients in the planning and development of
health care. British Medical Journal, 325, 1263-1267.
Department of Health (2009). NHS constitution. London, Department of Health.
Department of Health (2010). Equity and excellence. Liberating the NHS. London,
Department of Health.
Department of Health Research & Development Directorate (2011). The Government
plan for a secure data service: Strengthening the international competitiveness of UK life
sciences research. London, Department of Health.
Donohue, J.M., Cevasco, M., Rosenthal, M.B. (2007). A Decade of Direct-to-Consumer
Advertising of Prescription Drugs. N Engl J Med, 357(7), 673-681.
Drentea, P. & Moren-Cross, P. (2005). Social capital and social support on the web: the
case of an Internet mother site. Sociology of Health & Illness, 27(7), 920-943.
Ducournau, P. & Beaudevin, C., (2011). Of deterritorialization, healthism and
biosocialities: the companies’ marketing and users’ experiences of online genetics.
Journal of Science Communication, 10(3), C04.
Eagle, N., Pentland, A. (2006). Reality mining: sensing complex social systems. Personal
and Ubiquitous Computing, 10(4), 1617-4909.
Epstein, R. M., Franks, P. Fiscella, K., Shields, C., Meldrum, S., Kravitz, R., & Duberstein, P. (2005). Measuring patient-centered communication in Patient-Physician
consultations: Theoretical and practical issues. Social Science & Medicine, 61 (7), 1516-
1528.
Fox, N., Ward, K., O'Rauke, A. (2005). The 'expert patient': empowerment or medical
dominance? The case of weight loss, pharmaceutical drugs and the Internet'. Social
Science & Medicine, 60 (6), 1299-1309.
Fox, S. (2011). The social life of health information, Washington: Pew Research Center’s
Internet & American Life Project
http://pewinternet.org/Reports/2011/Social‐Life‐of‐Health‐Info.aspx (Accessed
16/04/12).
Frost, J., & Massagli, M. (2008). Social uses of personal health information within
PatientsLikeMe, an online patient community: what can happen when patients have
access to one another’s data. Journal of Medical Internet Research, 10(3), e15.
Fudge, N., Wolfe, C., & McKevitt, C. (2008). Assessing the promise of user involvement
in health service development: ethnographic study. British Medical Journal, 336, 313-
317.
Galeotti, A. & Goyal, S., (2010). The law of the few. American Economic Review, 100(4), 1468-1492.
General Medical Council (2009). Good Medical Practice. http://www.gmcuk.
org/static/documents/content/GMP_0910.pdf (Accessed 25/8/11)
Ginsberg, J., Mohebbi, M., Patel, R., Brammer, L., Smolinski, M., & Brilliant, L. (2009)
Detecting influenza epidemics using search engine query data. Nature, 457, 1012–4.
Graefe, A. & Armstrong, J. (2011) Comparing face-to-face meetings, nominal groups,
Delphi and prediction markets on an estimation task. International Journal of
Forecasting, 27(1) special issue on Group-Based Judgmental Forecasting, 183-195.
Griffiths, C., Foster, G., Ramsay, J., Eldridge, S., & Taylor, S. (2007). How are expert
patient led (lay led) education programmes for chronic disease? British Medical Journal,
334 (7606), 1254.
Griffiths, F.E., Lindenmeyer, A., Powell, J., Lowe, P. & Thorogood, M. (2006). Why are
health care interventions delivered over the Internet? A review of the published literature.
Journal of Medical Internet Research 8(2):e10 http://www.jmir.org/2006/2/e10/
Gross, T. & Sayama, H. (2009). Adaptive Networks: Theory, Models and Applications.
Dordrecht: Springer.
Hargittai, E., (2010). Digital Na(t)ives? Variation in Internet Skills and Uses among
Members of the ‘‘Net Generation’’. Sociological Inquiry, 80(1), 92–113.
Hargittai, E. & Hsieh, Y-L.P., (2011). From dabblers to omnivores: a typology of social network site usage. In Papacharissi, Z.A. (Ed.) A networked self: identity, community and
culture on social network sites. (pp 146-168). New York: Routledge.
Holme, P. & Saramäki, J. (2011). Temporal Networks. arXiv:1108.1780v1
Howe, A., Owen‐Smith, V., & Richardson, J. (2002). The impact of a television soap
opera on the NHS Cervical Screening Programme in the North West of England.
Journal of Public Health, 24(4), 299-304.
Howe, J. 2008. Crowdsourcing: Why the power of the crowd is driving the future of
business. New York: Crown Business.
Iyengar, R., Van den Bulte, C., & Valente, T. (2011). Opinion leadership and social
contagion in new product diffusion. Marketing Science, 30(2), 195–212.
Jennifer Trust for Spinal Muscular Atrophy. 2007. 2007 Conference Report. 30th June-1st
July, Stratford-Upon- Avon.
http://www.jtsma.org.uk/iqs/dbitemid.653/sfa.view/rp.3/news.html (Accessed 27/8/11).
Joyce, C., Last, J., & Weatherall, M. (1967). Personal factors as a cause of differences in
prescribing by general practitioners. British Journal of Preventative and Social
Medicine, 22 (3), 170-177.
Kaski, K. (2010). Social complexity: can it be analyzed and modelled? Science and
Culture, 76, 357-361.
Koh, T., Fichman, M., & Smith, M. (2010) Courting two-timers: multi-homing users’ preferences for two-sided exchange networks. Social Science Research Network,
http://ssrn.com/abstract=1635615 (Accessed 25/8/11).
Kumar, S., Little, P. & Britten, N. (2003). Why do general practitioners prescribe
antibiotics for sore throat? Grounded theory interview study. British Medical Journal,
326, 138-144.
Liu, Y-Y., Slotine J-J., Barabási, A-L. (2011). Controllability of complex networks.
Nature, 473, 167-173.
Lock, M. & Nguyen, V-K. (2010). An Anthropology of Medicine Oxford: Wiley-
Blackwell.
Mead, N., & Bower, P. (2000). Patient-centredness: a conceptual framework and review
of the empirical literature. Social Science & Medicine, 51(7), 1087-1110.
Mechanic, D. (2002). Socio-cultural implications of changing organizational technologies
in the provision of care. Social Science & Medicine, 54 (3), 459-467.
Milewa, T., Harrison. S., Ahmad, W., Tovey, P. (2002)Citizen's participation in primary
healthcare planning: innovative citizenship practice in empirical perspective. Critical
Public Health, 12(1), 39-53.
Miller, J.H. & Page, S.E. (2007). Complex adaptive systems: an introduction to
computational models of social life. Princeton: Princeton University Press
Mitchell, C. (2003). Autism mailing lists. Health Information on the Internet, 33, 3-4.
Mizrachi, N., Shuval, J., & Gross, S. (2005). Boundary at work: alternative medicine in
biomedical settings. Sociology of Health & Illness, 27(1), 20-43.
Mockford, C., Staniszewsks, S., Griffiths, F., Herron-Marx, S. (2012). The impact of
patient and public involvement on UK NHS health care: a systematic review. Int J Qual
Health Care, 24 (1): 28-38. doi: 10.1093/intqhc/mzr066
Murie, J., & Douglas-Scott, G. (2004). Developing an evidence base for patient and
public involvement. Clinical Governance: An International Journal, 9(3), 147-154.
Nambisan, P. (2011). Information seeking and social support in online health
communities: impact on patients' perceived empathy. Journal of the American Medical
Informatics Association,18, 298-304.
New York Times. (2011). 'Computer Wins on 'Jeopardy!': Trivial, It's Not' 16th February.
http://www.nytimes.com/2011/02/17/science/17jeopardywatson.
html?_r=2&pagewanted=all (Accessed 25/8/11).
Nicosia, W., Tang, J., Musoles, M., Russo, G., Mascolo, C. and Latora, V. (2011)
Components in time-varying graphs. arXiv:1106.2134v2
Norris, P. (2001). How ‘we’ are different from ‘them’: occupational boundary
maintenance in the treatment of musculo-skeletal problems. Sociology of Health &
Illness, 23(1), 24-43.
Parker, S., Clayton, J., Hancock, K., Walder, S., Butnow, P., Carrick, S., Currow, D.,
Ghersi, D., Glare, P., Hagerty, R., & Tatterstall, M. (2007). A systematic review of prognostic/end-of-life communication with adults in the advanced stages of a life-limiting
illness: patient/caregiver preferences for the content, style, and timing of information.
Journal of Pain and Symptom Management, 34(1), 81-93.
Pentland, A., Lazer, D., Brewer, D., &Heibeck, T. (2009). Using Reality Mining to
Improve Public Health and Medicine. Robert Wood Johnson Foundation
http://hd.media.mit.edu/RWJF-Reality-Mining-summary.pdf (Accessed 25/8/11).
Polgreen, P., Nelson, F., Neumann, G.. & Weinstein, R. (2007) Use of Prediction
Markets to Forecast Infectious Disease Activity. Clinical Infectious Diseases, 44(2), 272-
279.
Powell, J. & Clarke, A. (2002). The WWW of the World Wide Web. Journal of Medical
Internet Resources, 4, e4.
Powell, P., Inglis, N., Ronnie, J. & Large, S., (2011). The Characteristics and Motivations
of Online Health Information Seekers: Cross-Sectional Survey and Qualitative Interview
Study. Journal of Medical Internet Research, 13(1):e20. doi:10.2196/jmir.1600.
Prior, L. (2003). Belief, Knowledge and Expertise: The Emergence of the Lay Expert in
Medical Sociology. Sociology of Health and Illness, 25(3), 41-57.
Rocha, L. 2010. Self-Organization and Emergent Complex Behaviour. Biologically
inspired Computing Lecture Notes, School of Informatics, Indiana University.
http://informatics.indiana.edu/rocha/i-bic/lec04.html (Accessed 25/8/11).
Sandholm, W. (2008). Learning and evolution in games: an overview. Durlauf, S. &
Blume, L. (eds.) The New Palgrave Dictionary of Economics (2nd Ed.) http://0-
www.dictionaryofeconomics.com.library.lemoyne.edu/article?id=pde2008_E000241 ,
DOI: 10.1057/9780230226203.0949, (Accessed 20/9/11).
Scambler, A., Scambler, G., & Craig, D. (1981). Kinship and friendship networks and
women's demand for primary care. The Journal of the Royal College of General
Practitioners, 31(233), 746-750.
Scanfield, D., Scanfield, V., & Larson, E. (2010). Dissemination of health information
through social networks: Twitter and antibiotics. American Journal of Infection Control,
38 (3), 182-188.
Schaffer, R., Kuczybski, K., & Skinner, R. (2007). Producing genetic knowledge and
citizenship through the Internet: mothers, paediatric genetics and cybermedicine.
Sociology of Health & Illness, 30 (1), 145-159.
Scott, J. (2000). Social network analysis: a handbook. London: Sage.
Seymour, W., & Lupton, D. (2004). Holding the line online: exploring wired
relationships for people with disabilities. Disability & Society, 19 (4), 291-305.
Sillence, E., Briggs, P., Harris, P., & Fishwick, L. (2007). How do patients evaluate and
make use of online health information? Social Science & Medicine, 64(9), 1853-1862.
Situngkir, H. (2004). On Selfish Memes: culture as complex adaptive system Journal of Social Complexity, 2(1), 20-32.
Smythe M. (2000).“Have-nets” and “Have-nots” - What Determines Internet Access in
New Zealand? Proceedings of the NACCQ 2000 Wellington NZ, 331-334,
www.naccq.ac.nz
Stewart M. (2001). Towards a global definition of patient-centred care. BMJ, 322, 444-5.
Stewart, M., Brown, J., Weston, W., McWhinney, I., McWilliam, C., & Freeman, T.
(2003). Patient-Centred Medicine, Transforming the Clinical Method. Abingdon:
Radcliffe Medical Press Ltd.
Street, R., Makoul, G., Arora, N., & Epstein, R. (2009). How does communication heal?
Pathways linking clinician-patient communication to health outcomes. Patient Education
and Counseling, 74(3), 295-301.
Tardy, R., & Hale, C. (1998). Getting "plugged in": A network analysis of healthinformation
seeking among "stay-at-home moms". Communication Monographs, 65(4),
336-357.
Tarrant, C., Dixon-Woods, M., Colman, A., & Stokes, T. (2010). Continuity and trust in
primary Care: a qualitative study informed by Game Theory. Annals of Family Medicine,
8(5), 440-446.
Tucker, A. (2010). Retweet waves: contagion in a social network. Msc Report,
Complexity Science DTC, University of Warwick.
http://www2.warwick.ac.uk/fac/cross_fac/comcom/dtcsite/people/students2009/tucker/proj-two-report.pdf (Accessed 23/9/11).
Turner, J., Grube, J., & Meyers, J. (2001). Developing an optimal match within online
communities. Journal of Communication, 51 (2), 231-251.
Verma, A., Torun, P., Harris, E, Edwards, R., Gemmell, I., Harrison, R., Buchan, I.,
Davies, L., Patterson, L., & Heller, R. (2011). Population Impact Analysis: a framework
for assessing the population impact of a risk or intervention. Journal of Public Health.
DOI: 10.1093.
Viswanath, K. & M.W. Kreuter., (2007). Health Disparities, Communication Inequalities,
and e-Health: A Commentary. American Journal of Preventive Medicine, 32(5 Suppl),
S131–S133.
Weyl, E.G. (2010). A price theory of multi-sided platforms. American Economic Review,
100(4), 1642-1672.
Weissman, J., Blumenthal, D., Silk, A., Newman, M., Zapert, K., Leitman, R. &
Feibelmann, S. (2004). Physicians Report On Patient Encounters Involving Direct-To-
Consumer Advertising. Health Affairs, Supp. Web Exclusive (W4), 219-233.
White, M., & Dorman, S. (2000). Online Support for Caregivers. Analysis of an Internet
Alzheimer Mailgroup. Computers in Nursing, 18(4), 168-179.
Wicks, P., Massagli, M., Frost, J., Brownstein, C., Okun, S., Vaughan, T., Bradley, R., &
Heywood. J. (2010). Sharing health data for better outcomes on PatientsLikeMe. Journal of Medical Internet Research, 12(2), e19.
Williams, C., Mostashari, F., Mertz, K., Hogin, E. & Atwal, P. (2012). From the Office
of the National Coordinator: The Strategy for Advancing the Exchange of Health
Information. Health Affairs, 31(3), 527-536.
Williams, L. (2011) Prediction Markets: Theory and Applications. London: Routledge.
Young, P. (1993). The Evolution of Conventions. Econometrica, 61, 57–84.
Zhao, K., Stehl´e, J., Bianconi, G. and Barrat, A. (2011) Social network dynamics of
face-to-face interactions. arXiv:1102.2423v2