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psumark Networks are a diverse and increasingly important area of research for Penn State. Network researchers are active across the University, sharing common interests in understanding, manipulating, and exploiting the properties of networks. Example networks of interest include metabolic processes of a cell, social interactions of teenagers, supply chains of businesses, computers on the Internet, contact vectors in disease transmission, and environmental sensors deployed on a mountainside. Penn State researchers are active in the study of all of these research topics and many more. Networks offer a new unifying paradigm for these researchers, as scientific tools, as conceptual frameworks, and as topics for study themselves; network researchers from across all disciplines can benefit enormously from intellectual cross-fertilization. The Network Science Initiative is supported by multiple research institutes at Penn State including the

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Upcoming Seminars

        Thursday, Oct 20, 2011
        
        Speaker: Marcel Salathe, Department of Biology and Center for Infectious Disease Dynamics.
        Title: The dynamics of vaccination sentiments on Twitter: from community
        structure to social contagion


        Abstract:
        There is great interest in the dynamics of health behaviors in social
        networks and how they affect collective public health outcomes, but
        measuring population health behaviors over time and space requires
        substantial resources. We used publicly available data from 101,853
        users of online social media collected over a time period of almost
        six months to measure the spatio-temporal sentiment towards a new
        vaccine. We validated our approach by identifying a strong correlation
        between sentiments expressed online and CDC-estimated vaccination
        rates by region. Analysis of the network of opinionated users showed
        that information flows more often between users who share the same
        sentiments - and less often between users who do not share the same
        sentiments - than expected by chance alone. We also found that most
        communities are dominated by either positive or negative sentiments
        towards the novel vaccine. Simulations of infectious disease
        transmission show that if clusters of negative vaccine sentiments lead
        to clusters of unprotected individuals, the likelihood of disease
        outbreaks is greatly increased. I'll summarize these results, recently
        published in PLoS Computational Biology 
           Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control  ,
        and I will show results from current ongoing analysis that tries to
        understand to what extent sentiments of vaccinations were contagious
        on the online social network.

        *** lunch is provided ***
A list of all seminars hosted by the Network Science Initiative.

Network Science at Penn State

Penn State has the opportunity to evolve into a position of globally recognized leadership in network research. Toward this, we seek the addition of new faculty members who work in the interdisciplinary areas of network research, and who can bridge the diverse interests of different colleges.

Seminar Series

The lunchtime Network Science seminar series is starting again. See you on Thursdays at noon, every other week. Lunch is provided.

Researchers

Network Science research at Penn State is involving interdisciplinary teams of scholars from across the University.

About Network Science

Complex networks of interactions among multiple entities are essential features of the natural world, human society, and modern technology.

Courses

The objective of the Penn State Network Science curricula is to familiarize students with the theory, research and methodological issues connected with network analysis in various domains of application: social, biological, theoretical and/or engineering contexts

Details on the Penn State Network Science Initiative: Lecture Series2010 Network Science DayTable of Contents