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Jon Crowcroft

Researcher at University of Cambridge

Publications -  692
Citations -  40720

Jon Crowcroft is an academic researcher from University of Cambridge. The author has contributed to research in topics: The Internet & Multicast. The author has an hindex of 87, co-authored 672 publications receiving 38848 citations. Previous affiliations of Jon Crowcroft include Memorial University of Newfoundland & Information Technology University.

Papers
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Proceedings ArticleDOI

Shortest path first with emergency exits

TL;DR: A new routing algorithm (SPF-EE) which attempts to eliminate the problems associated with the SPF algorithm by providing alternate paths as emergency exits, and substantially improves the performance of routing in a dynamic environment.
Journal ArticleDOI

Sharing political news: the balancing act of intimacy and socialization in selective exposure

TL;DR: A Political News Sharing (PoNS) model is proposed that holistically captures four key aspects of social psychology: gratification, selective exposure, socialization, and trust & intimacy and a prototype of a news sharing application is built that promotes serendipitous political readings along the authors' four dimensions.
Posted Content

Crisis Analytics: Big Data Driven Crisis Response

TL;DR: The history and future of big crisis data analytics, along with a discussion on its promise, challenges, and pitfalls are discussed in this article, where the authors introduce the history and the future of Big Crisis Data Analytics.
Journal ArticleDOI

Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning

TL;DR: This paper proposes a distributed control framework for energy-efficient and DIstributed VEhicle navigation with chaRging sTations, called “e-Divert”, a distributed multi-agent deep reinforcement learning (DRL) solution, which uses a convolutional neural network to extract useful spatial features as the input to the actor-critic network to produce a real-time action.
Proceedings ArticleDOI

Personal Data Management with the Databox: What's Inside the Box?

TL;DR: This paper elaborates on the proposed Databox, a collection of physical and cloud-hosted software components that provide for an individual data subject to manage, log and audit access to their data by other parties, describing the software architecture it is developing, and the current status of a prototype implementation.