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dc.contributor.advisorAlex (Sandy) Pentland.en_US
dc.contributor.authorBarahona, Juan Carlos (Barahona-Martinez)en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.en_US
dc.date.accessioned2008-05-19T16:10:42Z
dc.date.available2008-05-19T16:10:42Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/41708
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2007.en_US
dc.descriptionIncludes bibliographical references (p. 129-133).en_US
dc.description.abstractImportant ideas, practices and artifacts often fail to reach their target population efficiently or fail to reach altogether. Surprisingly, most projects aimed to bring technology to underserved communities of the world lack an explicit diffusion strategy and/or lack an implementation strategy that acknowledges the social structure that binds together the members of the targeted community. Without the knowledge of social structures efficient diffusion of technological innovations becomes an unreachable goal. Socioeconomic and behavioral information can be combined with sparse social structure data to derive quantitative estimates of a community's social dynamics, allowing improved understanding and management of diffusion processes. We found that patterns of advice and use of media provide and effective way to identify the influential members of a community. We set up a large scale experiment in a rural community using our model and tested our proposed method of intervention and found strong evidence of an improved diffusion process which is significantly related to the communities' network of advice. The adoption of an idea, practice or artifact is heavily influenced by social context, through both conscious and unconscious mechanisms. By targeting social networks, not social classes, age, gender groups or institutions, we can create the basis for the emergence of local organizations and businesses that organically provide the necessary support to achieve effective diffusion of technological innovations. In our experiment, the introduction of a few powerful ideas at the core of the communities' social networks helped to create a social context where the new innovations created economic and social value. In addition, these new business create a richer social context from which further new innovations are expected to emerge.en_US
dc.description.statementofresponsibilityby Juan Carlos Barahona.en_US
dc.format.extent133 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectArchitecture. Program in Media Arts and Sciences.en_US
dc.titleDiffusion of ideas, practices, and artifacts : network effects on collective outcomesen_US
dc.title.alternativeNetwork effects on collective outcomesen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)
dc.identifier.oclc221980341en_US


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