Daniel T Citron: Difference between revisions
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I am a PhD candidate in the field of Physics at Cornell University. My academic interests are predominantly related to computational science and the study of complex networks. My committee chair at Cornell is Christopher R. Myers, who has an interest in dynamics on complex networks and modeling infectious diseases. My work in the Myers group has focused on creating stochastic simulations of infectious disease dynamics and understanding how a heterogeneous contact network affects (limits or enhances) how disease spreads through a population. My current project is to try to use moment closure to understand disease persistence in the stochastic SIRS disease model in a networked population. | |||
In the past I have also done worked with Paul Ginsparg to try to understand and analyze publishing data taken from the arXiv. We have looked into the problem of authors re-using text from their own work or from other sources. We have also explored a number of methods for detecting the formation of new sub-disciplines of science based on data taken from the collaboration networks of co-authors and the textual data taken from arXiv articles. | |||
I also have interests in social network analysis, detecting and measuring the growth and formation of new communities, calculating loop corrections to mean-field stochastic disease models, and machine learning. | |||
'''Project Ideas:''' | |||
I currently have a massive data set of scientific papers that could be used to look at the formation of research collaboration networks. | |||
I also have ideas to work on a framework for making sense of and modeling '''multiplex adaptive networks.''' | |||
Come talk to me if you're interested in either of these ideas. | |||
[[http://www.dtcitron.com My Website]] | |||
Latest revision as of 19:55, 9 June 2015
| Complex Systems Summer School 2015 |
I am a PhD candidate in the field of Physics at Cornell University. My academic interests are predominantly related to computational science and the study of complex networks. My committee chair at Cornell is Christopher R. Myers, who has an interest in dynamics on complex networks and modeling infectious diseases. My work in the Myers group has focused on creating stochastic simulations of infectious disease dynamics and understanding how a heterogeneous contact network affects (limits or enhances) how disease spreads through a population. My current project is to try to use moment closure to understand disease persistence in the stochastic SIRS disease model in a networked population.
In the past I have also done worked with Paul Ginsparg to try to understand and analyze publishing data taken from the arXiv. We have looked into the problem of authors re-using text from their own work or from other sources. We have also explored a number of methods for detecting the formation of new sub-disciplines of science based on data taken from the collaboration networks of co-authors and the textual data taken from arXiv articles.
I also have interests in social network analysis, detecting and measuring the growth and formation of new communities, calculating loop corrections to mean-field stochastic disease models, and machine learning.
Project Ideas: I currently have a massive data set of scientific papers that could be used to look at the formation of research collaboration networks.
I also have ideas to work on a framework for making sense of and modeling multiplex adaptive networks.
Come talk to me if you're interested in either of these ideas.