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Middleware for social computing: a roadmap

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TLDR
This work identifies three societal grand challenges that are likely to drive future research in social computing and elaborate on how the middleware community can help address them.
Abstract
Social computing broadly refers to supporting social behaviours using computational systems. In the last decade, the advent of Web 2.0 and its social networking services, wikis, blogs, and social bookmarking has revolutionised social computing, creating new online contexts within which people interact socially (social networking). With the pervasiveness of mobile devices and embedded sensors, we stand at the brink of another major revolution, where the boundary between online and offline social behaviours blurs, providing opportunities for (re)defining social conventions and contexts once again. But opportunities come with challenges: can middleware foster the engineering of social software? We identify three societal grand challenges that are likely to drive future research in social computing and elaborate on how the middleware community can help address them.

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Journal ArticleDOI

Architectural implications of smart city business models: an evolutionary perspective

TL;DR: The architectural evolution required to ensure that the rollout and deployment of smart city technologies is smooth through acknowledging and integrating the strengths of both the system architectures proposed is discussed.
Journal ArticleDOI

Delete: The virtue of forgetting in the digital age

TL;DR: Mayer-Schonberger as discussed by the authors is the director of the Information and Informatics Institute at Princeton University, New Jersey, US$24.95 (hardback), ISBN 978•0•691•13861•9
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S-Aframe: Agent-Based Multilayer Framework With Context-Aware Semantic Service for Vehicular Social Networks

TL;DR: A practical implementation and experimental evaluations of S-Aframe are presented to demonstrate its reliability and efficiency in terms of computation and communication performance on popular mobile devices and a VSN-based smart ride application is developed to demonstrate the functionality and practical usefulness of the framework.
Proceedings ArticleDOI

Torwards context-aware mobile crowdsensing in vehicular social networks

TL;DR: A novel application-oriented service collaboration (ASCM) model is introduced which can automatically match multiple users with multiple mobile crowd sensing tasks in VSNs in an efficient manner and a context information management model is proposed that aims to enable the mobile community sensing applications to autonomously match appropriate service and information with different users (requesters and participants) in crowdsensing.
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Taking Brazil's pulse: tracking growing urban economies from online attention

TL;DR: It is shown that a city's glocality, measured with social media data, effectively signals the city's economic well-being.
References
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Proceedings ArticleDOI

MiddleWhere: a middleware for location awareness in ubiquitous computing applications

TL;DR: MiddleWhere as discussed by the authors is a distributed middleware infrastructure for location that separates applications from location detection technologies and enables the fusion of different location sensing technologies and facilitates the incorporation of additional location technologies on the fly as they become available.
Journal ArticleDOI

Delete: The virtue of forgetting in the digital age

TL;DR: Mayer-Schonberger as discussed by the authors is the director of the Information and Informatics Institute at Princeton University, New Jersey, US$24.95 (hardback), ISBN 978•0•691•13861•9
Proceedings ArticleDOI

Decomposing power measurements for mobile devices

TL;DR: This measurement framework is the first to be seen which can produce fine-grained, annotated traces of a phone's power consumption and is designed to develop an understanding of how particular aspects of an application drive energy use.
Proceedings ArticleDOI

Efficient and Private Access to Outsourced Data

TL;DR: The proposed technique introduces a shuffle index structure, which adapts traditional B+-trees, which exhibits a limited performance cost, thus resulting effectively usable in practice.
Proceedings ArticleDOI

From spaces to places: emerging contexts in mobile privacy

TL;DR: It is reported on how, by combining a variation of experience sampling and contextual interviews, a notion of context in relation to privacy, which is subjectively defined by emerging socio-cultural knowledge, functions, relations and rules, is started.
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