This video is from TEDx Columbia Engineering.
It was filmed November 29, 2011, at Miller Theatre, Columbia University, NYC.
Sinan Aral is an Assistant Professor and Microsoft Faculty Fellow at the NYU Stern School of Business. He studies how behavioral contagions spread through social networks -- from products to productivity to public health.
His novel research on information and behavioral diffusion in massive networks is being applied to a variety of fields including epidemiology, innovation management, organizational performance and development economics. This research has won numerous awards including the Microsoft Faculty Fellowship (2010), the PopTech Science and Public Leaders Fellowship (2010), an NSF Early Career Development (CAREER) Award (2009), the IBM Faculty Award (2009), the ACM SIGMIS Best Dissertation Award (2007), and four Best Paper Awards at the International Conference on Information Systems (ICIS). Sinan has been a Fulbright Scholar, serves as Chief Scientist of SocialAmp, a social commerce company that enables targeting and peer referral in social media networks, and is currently an organizer of the Workshop on Information in Networks (WIN): http://www.winworkshop.net. His work has been published in leading journals such as the American Journal of Sociology, IEEE Intelligent Systems, Information Systems Research, Management Science, Marketing Science, the Proceedings of the National Academy of Sciences (PNAS), Science, Organization Science, the Harvard Business Review and the Sloan Management Review, and been mentioned in popular press outlets such as the Economist, the New York Times, Businessweek, Wired and CIO Magazine. Sinan is a Phi Beta Kappa graduate of Northwestern University and holds masters degrees from the London School of Economics and Harvard University. He received his PhD from MIT.
You can follow him on Twitter @sinanaral.
- Lena
It was filmed November 29, 2011, at Miller Theatre, Columbia University, NYC.
Sinan Aral is an Assistant Professor and Microsoft Faculty Fellow at the NYU Stern School of Business. He studies how behavioral contagions spread through social networks -- from products to productivity to public health.
His novel research on information and behavioral diffusion in massive networks is being applied to a variety of fields including epidemiology, innovation management, organizational performance and development economics. This research has won numerous awards including the Microsoft Faculty Fellowship (2010), the PopTech Science and Public Leaders Fellowship (2010), an NSF Early Career Development (CAREER) Award (2009), the IBM Faculty Award (2009), the ACM SIGMIS Best Dissertation Award (2007), and four Best Paper Awards at the International Conference on Information Systems (ICIS). Sinan has been a Fulbright Scholar, serves as Chief Scientist of SocialAmp, a social commerce company that enables targeting and peer referral in social media networks, and is currently an organizer of the Workshop on Information in Networks (WIN): http://www.winworkshop.net. His work has been published in leading journals such as the American Journal of Sociology, IEEE Intelligent Systems, Information Systems Research, Management Science, Marketing Science, the Proceedings of the National Academy of Sciences (PNAS), Science, Organization Science, the Harvard Business Review and the Sloan Management Review, and been mentioned in popular press outlets such as the Economist, the New York Times, Businessweek, Wired and CIO Magazine. Sinan is a Phi Beta Kappa graduate of Northwestern University and holds masters degrees from the London School of Economics and Harvard University. He received his PhD from MIT.
You can follow him on Twitter @sinanaral.
- Lena
1 comments:
Social media is the part of the Internet where the content is generated by users of the service rather than conventional publishers. Such content ranges in scope from short comments on blogs, status updates on social networks and 140 character "tweets", to lengthy blog posts sometimes even containing original research. In comparison to conventional academic publishing, the social media landscape is extremely varied. Although the age demographic of social media users is becoming older and more inclusive, the typical social media user is aged 18-30, spends more time online and gaming than watching television, and gains a much higher proportion of their information by searching and social recommendations than through traditional publishing channels. Social media is the backbone of their information infrastructure. This talk will address the following questions:Social Network Analysis
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