WTF ("Who to Follow") is Twitter's user recommendation service, which is responsible for
creating millions of connections daily between users based on shared interests, common …

Understanding user intent is key to designing an effective ranking system in a search engine.
In the absence of any explicit knowledge of user intent, search engines want to diversify …

In this paper, we provide a characterization of the topological features of the Twitter follow
graph, analyzing properties such as degree distributions, connected components, shortest …

Doxorubicin (DOXO), a potent and widely used chemotherapeutic agent, causes irreversible
heart failure by increasing oxidative stress, which limits its clinical utility. Nuclear factor …

Nanoparticles and nanomaterials have gained a huge amount of attention in the last
decade due to their unique and remarkable properties. Metallic nanoparticles like zinc oxide …

Somatic mutations commonly occur in hematopoietic stem cells (HSCs). Some mutant
clones outgrow through clonal hematopoiesis (CH) and produce mutated immune progenies …

We consider a model of user engagement in social networks, where each player incurs a cost
to remain engaged but derives a benefit proportional to the number of engaged neighbors. …

We study the use of viral marketing strategies on social networks that seek to maximize
revenue from the sale of a single product. We propose a model in which the decision of a buyer …

We present the architecture behind Twitter's real-time related query suggestion and spelling
correction service. Although these tasks have received much attention in the web search …

Online social networks regularly offer users personalized, algorithmic suggestions of whom
to connect to. Here we examine the aggregate effects of such recommendations on network …