726 research outputs found

    Interest-aware content discovery in peer-to-peer social networks.

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    With the increasing popularity and rapid development of Online Social Networks (OSNs), OSNs not only bring fundamental changes to information and communication technologies, but also make extensive and profound impact on all aspects of our social life. Efficient content discovery is a fundamental challenge for large-scale distributed OSNs. However, the similarity between social networks and online social networks leads us to believe that the existing social theories are useful for improving the performance of social content discovery in online social networks. In this paper, we propose an interest-aware social-like peer-to-peer (IASLP) model for social content discovery in OSNs by mimicking ten different social theories and strategies. In the IASLP network, network nodes with similar interests can meet, help each other and co-operate autonomously to identify useful contents. The presented model has been evaluated and simulated in a dynamic environment with an evolving network. The experimental results show that the recall of IASLP is 20% higher than the existing method SESD while the overhead is 10% lower. The IASLP can generate higher flexibility and adaptability and achieve better performance than the existing methods.UK-China Knowledge Economy Education Partnershi

    5th International Conference on Advanced Research Methods and Analytics (CARMA 2023)

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    Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 5th International Conference on Advanced Research Methods and Analytics (CARMA) is a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges.Martínez Torres, MDR.; Toral Marín, S. (2023). 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023). Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2023.2023.1700

    ComLittee: Literature Discovery with Personal Elected Author Committees

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    In order to help scholars understand and follow a research topic, significant research has been devoted to creating systems that help scholars discover relevant papers and authors. Recent approaches have shown the usefulness of highlighting relevant authors while scholars engage in paper discovery. However, these systems do not capture and utilize users' evolving knowledge of authors. We reflect on the design space and introduce ComLittee, a literature discovery system that supports author-centric exploration. In contrast to paper-centric interaction in prior systems, ComLittee's author-centric interaction supports curation of research threads from individual authors, finding new authors and papers with combined signals from a paper recommender and the curated authors' authorship graphs, and understanding them in the context of those signals. In a within-subjects experiment that compares to an author-highlighting approach, we demonstrate how ComLittee leads to a higher efficiency, quality, and novelty in author discovery that also improves paper discovery

    Cloud-Edge Orchestration for the Internet-of-Things: Architecture and AI-Powered Data Processing

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    This is the author accepted manuscript. The final version is available from IEEE via the DOI in this recordThe Internet-of-Things (IoT) has been deeply penetrated into a wide range of important and critical sectors, including smart city, water, transportation, manufacturing and smart factory. Massive data are being acquired from a fast growing number of IoT devices. Efficient data processing is a necessity to meet diversified and stringent requirements of many emerging IoT applications. Due to the constrained computation and storage resources, IoT devices have resorted to the powerful cloud computing to process their data. However, centralised and remote cloud computing may introduce unacceptable communication delay since its physical location is far away from IoT devices. Edge cloud has been introduced to overcome this issue by moving the cloud in closer proximity to IoT devices. The orchestration and cooperation between the cloud and the edge provides a crucial computing architecture for IoT applications. Artificial intelligence (AI) is a powerful tool to enable the intelligent orchestration in this architecture. This paper first introduces such a kind of computing architecture from the perspective of IoT applications. It then investigates the state-of-the-art proposals on AI-powered cloud-edge orchestration for the IoT. Finally, a list of potential research challenges and open issues is provided and discussed, which can provide useful resources for carrying out future research in this area.Engineering and Physical Sciences Research Council (EPSRC

    Responsible innovation as a driver of regional policies and innovation and entrepreneurial practices: The context of digitalisation of healthcare and welfare services

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    This thesis explores the concept of responsible innovation (RI) and its implications for regional policies, innovation, and entrepreneurship policies and practices in the context of healthcare and welfare services. RI is a concept that emerged in the wake of widening grand societal challenges and is developing and spreading quickly to govern research and innovation on society’s needs, values, and expectations. RI emphasises the reflection of purpose, process, and outcomes of innovation and entrepreneurship policies and practices such that they contribute to addressing grand societal challenges and create a broader societal impact. There is a growing belief that RI dimensions of inclusion, anticipation, reflexivity, and responsiveness can offer a valuable tool. Thus, RI practices could enable policymakers, firms, and stakeholders within the regional innovation ecosystem to interact to address grand societal challenges. However, RI has stalled at articulating a governance process with a strongly normative loading without clear, practical guidelines for implementation strategies and mainly concentrated on publicly funded research projects. RI scholars argued that RI and its aspiration could only be achieved if integrated into policies and practices. Furthermore, because firms and the private sector are the primary drivers of innovation, they need to acknowledge the significance of RI practices in innovation and business practices. However, most firms and policymakers are either unaware of RI or find implementing RI in research, innovation, and entrepreneurship policies and practices challenging. Furthermore, RI emphasises the inclusion of micro, meso, and macro levels of stakeholders in the innovation ecosystem for desirable, sustainable, and responsible innovative outcomes and broader impact. However, existing theoretical frameworks do not fully account for whether, how, and why firms adapt and practice RI in innovation and entrepreneurship. Thus, given that firms are embedded in the regional context, there is a need to understand RI and its role in shaping the purpose, process, and outcomes of innovation and entrepreneurial policies and activities to achieve overall regional goals. This thesis addresses these problems in the context of healthcare and welfare services, which are under immense pressure to ensure accessible, equitable, and sustainable services, primarily due to demographic and ecological changes. The emerging digitalisation and innovation in digital technology bring several potentials to address societal challenges, including healthcare and welfare service challenges. However, digital innovation might also raise privacy, safety, and security issues. RI can play a vital role in addressing these issues and drive research and innovation to benefit society. The empirical setting is the context of digital innovation in healthcare and welfare services, particularly in the Western region of Norway. This region established the Norwegian Smart Care Cluster (NSCC) in 2013 to promote digital healthcare and welfare provisions to citizens and contribute to regional and national economic growth. The cluster comprises approximately 290 organizations, including 194 private firms working on digital innovations in healthcare and welfare services. This thesis employs a qualitative approach with two different research designs between Paper I and Papers II, III, and IV. It utilizes empirical data collected from the nine firms belonging to the NSCC and the diverse set of stakeholders, including the cluster administration, university researchers, municipality representatives responsible for procurement and implementation of health and welfare services, healthcare professionals, and regional politicians. Paper I is a systematic literature review based on peer-reviewed journals. Papers II, III, and IV are case studies conducted using semi-structured interviews and secondary data gathered from various sources. The case studies and data gathered in this thesis take an exploratory approach. The approach is split between multiple case studies in Papers II and III and a single case study in Paper IV. The four research papers together answer the overarching research inquiry, ‘How does the RI approach facilitate regional policies and innovation and entrepreneurship practices in firms toward increased societal impact?’ The individual research papers apply different theoretical perspectives together with RI. In so doing, the thesis contributes to theory, practice, and policy in RI, innovation, and entrepreneurship

    Towards (R)evolving Cities Urban fragilities and prospects in the 21st century

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    Towards (R)evolving Cities: Urban Fragilities and Prospects in the 21st century first questions how we perceive the ‘intelligence’ of a city. The New Frontier of development for urban civilisations certainly includes digital and technological evolution, but it does not consider technology to be the final answer to all contemporary cities’ problems. The formidable challenges of the COVID-19 pandemic have thrown existing urban fragilities into stark relief. At the same time however they have highlighted the potential of digital solutions for reaching a new level of interconnected civility. (R)evolving cities evolve by adopting the principles of the circular economy in the higher interest of their citizens’ well-being: they consume therefore without devouring, recycle as much as possible what they metabolize, limit the effects of their ecological footprint and ultimately lead their inhabitants, with maternal guidance and care, to a new idea of citizenship. As protagonists of this evolutionary leap, the citizens of (R)evolving cities will abandon their predatory approach, reaching a higher stage of integration in the ecosystem and becoming more respectful of reciprocal relationships. (R)evolving cities are above all ‘polite’ cities, or rather cities whose citizens are consciously educated in the principles of sustainable development, the essential basis for contemporary civil coexistence
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