• Publications
  • Influence
Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks
TLDR
We extract social networks of active users on Digg and Twitter, and track how interest in news stories spreads among them. Expand
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Predicting Influential Users in Online Social Networks
TLDR
We study a real-world network on the social news aggregator Digg, which allows users to post and vote for news stories. Expand
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Attention decay in science
TLDR
The exponential growth in the number of scientific papers makes it increasingly difficult for researchers to keep track of all the publications relevant to their work. Expand
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Manufacturing Analytics and Industrial Internet of Things
TLDR
Bosch collects and utilizes all available information about its products to increase its understanding of complex linear and nonlinear relationships between parts, machines, and assembly lines. Expand
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Time-Aware Ranking in Dynamic Citation Networks
TLDR
This paper describes the Effective Contagion Matrix (ECM), a solution to address recency bias in the analysis of dynamic complex networks. Expand
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Prediction of in vivo hepatic clearance from in vitro data using cryopreserved human hepatocytes
1. Cryopreserved human hepatocytes were used to predict in vivo hepatic clearance (CL hepatic) from estimates of in vitro intrinsic clearance (). 2. was estimated for phenytoin, valproic acid,Expand
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What Stops Social Epidemics?
TLDR
Theoretical progress in understanding the dynamics of spreading processes on graphs suggests the existence of an epidemic threshold below which no epidemics form and above which epidemics spread to a significant fraction of the graph. Expand
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Entropy-based Classification of 'Retweeting' Activity on Twitter
TLDR
We present a information-theoretic approach to classica- tion of user activity on Twitter. Expand
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Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs
TLDR
Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially for mobilizing people. Expand
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The use of in vitro methods to predict in vivo pharmacokinetics and drug interactions.
TLDR
We show that the current state of the art in predicting human PK and drug-drug interactions for NCEs solely from in vitro experiments has a high percentage of useful predictions. Expand
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