Fani Tsapeli

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We investigate the problem of routing in opportunistic networks and propose a novel routing algorithm, which combines probabilistic routing with erasure coding. Erasure coding generates large amounts of code blocks with fixed overhead; we apply a sophisticated but realistic method to allocate the generated code blocks to nodes that relies on a probabilistic(More)
During the last years, the interest in Delay/Disruption Tolerant Networks has been significantly increased, mainly because DTN covers a vast spectrum of applications, such as deep-space, satellite, sensor and vehicular networks. Even though the Bundle Protocol seems to be the prevalent candidate architecture for delay-tolerant applications, some practical(More)
Smartphones and wearables have become an indispensable part of our daily life. Their improved sensing and computing capabilities bring new opportunities for human behavior monitoring and analysis. Most work so far has been focused on detecting correlation rather than causation among features extracted from smartphone data. However, pure correlation analysis(More)
Although Interplanetary Telecommunications rely on preconfigured contact schedules to make routing decisions, there is a lack of appropriate mechanisms to notify the network about contact plan changes. In order to fill this gap, we propose and evaluate a framework for disseminating information about queueing delays and link disruptions. In this context, we(More)
Delay Tolerant Networking (DTN) has been proposed as a global overlay architecture to provide network connectivity in challenged environments such as deep-space communications field. Bundle Protocol along with its convergence layer protocols transform end-to-end reliability into questionable hop-by-hop reliable communication and imposes a two-tier routing(More)
According to behavioral finance, stock market returns are influenced by emotional, social and psychological factors. Several recent works support this theory by providing evidence of correlation between stock market prices and collective sentiment indexes measured using social media data. However, a pure correlation analysis is not sufficient to prove that(More)
Most of the existing work concerning the analysis of emotional states and mobile phone interaction has been based on correlation analysis. In this paper, for the first time, we carry out a causality study to investigate the causal links between users’ emotional states and their interaction with mobile phones, which could provide valuable information(More)
Keywords: Mobile data offloading WiFi Opportunistic networks Delay tolerant networks Mobility Peer-assisted communications a b s t r a c t Data offloading through WiFi networks has been identified as a promising solution to cellular network congestion caused by the ongoing explosive growth in mobile data traffic. In this paper, we propose Cost-Effective(More)
The abundance of data produced daily from large variety of sources has boosted the need of novel approaches on causal inference analysis from observational data. Observational data often contain noisy or missing entries. Moreover, causal inference studies may require unobserved high-level information which needs to be inferred from other observed(More)
Correspondence: t.tsapeli@cs.bham.ac.uk School of Computer Science, University of Birmingham, Edgbaston, B15 2TT Birmingham, United Kingdom Full list of author information is available at the end of the article Abstract Predicting investors reactions to financial and political news is important for the early detection of stock market jitters. Evidence from(More)
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