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Opportunistic networks make use of human mobility and local forwarding in order to distribute data. Information can be stored and passed, taking advantage of the device mobility 1 , or forwarded over a wireless link when an appropriate contact is met 2. Such networks fall into the fields of mobile ad-hoc networking and delay-tolerant networking. In order to(More)
— Current mobile computing applications are infrastructure-centric, due to the IP-based API that these applications are written around. This causes many frustrations for end users, whose needs might be easily met with local connectivity resources but whose applications do not support this (e.g. emailing someone sitting next to you when there is no wireless(More)
The recent boom of large-scale online social networks (OSNs) both enables and necessitates the use of parallelizable and scalable computational techniques for their analysis. We examine the problem of real-time community detection and a recently proposed linear time- O(m) on a network with m edges-label propagation, or "epidemic" community detection(More)
  • Jim Gemmell, Montgomery Todd, Tony Talarian, Speakman, Nidhi Bhaskar, Jon Crowcroft
  • 2002
Pragmatic General Multicast (PGM) is a reliable multicast transport protocol that runs over a best effort datagram service, such as IP multicast. PGM obtains scalability via hierarchy, forward error correction, NAK (negative acknowledgement) elimination, and NAK suppression. It employs a novel polling scheme for NAK delay tuning to facilitate scaling up and(More)
— This paper proposes COPE, a new architecture for wireless mesh networks. In addition to forwarding packets, routers mix (i.e., code) packets from different sources to increase the information content of each transmission. We show that intelligently mixing packets increases network throughput. Our design is rooted in the theory of network coding. Prior(More)
—Ethernet does not scale well to large networks. The flat MAC address space, whilst having obvious benefits for the user and administrator, is the primary cause of this poor scalability; other recent efforts to improve upon Ethernet's scalability have addressed symptoms, rather than this underlying cause. In this paper we present MOOSE, Multi-level(More)
Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Therefore , tracking bias in everyday news and building a platform where people can receive balanced news information is important. We propose a model that maps the news media(More)
Epilepsy is one of the most common neurological disorders - approximately one in every 100 people worldwide are suffering from it. The electroencephalogram (EEG) is the most common source of information used to monitor, diagnose and manage neurological disorders related to epilepsy. Large amounts of data are produced by EEG monitoring devices, and analysis(More)
Worm containment must be automatic because worms can spread too fast for humans to respond. Recent work has proposed a network centric approach to automate worm containment: network traffic is analyzed to derive a packet classifier that blocks (or rate-limits) worm propagation. This approach has fundamental limitations because the analysis has no(More)