Όλο το DSpace

Πλοήγηση ανά Θέμα "Social networking (online)"

Αποτελέσματα 21-40 από 85

    • Evaluation of influential properties in twitter 

      Razis G., Anagnostopoulos I. (2019)
      In this paper we describe a methodology for measuring the influence and impact of Twitter accounts, by combining their activity, social degree and disseminated content. Experimental results show that the accuracy of our ...

    • Examining gender differences of social media use for activity planning and travel choices 

      Karatsoli M., Nathanail E. (2020)
      Background: The explosive growth of social media has rendered them powerful communication channels. User generated content is an important source of inspiration and influence among web friends, it generates new activities ...

    • Exploratory analysis of a terabyte scale web corpus 

      Kolias, V.; Anagnostopoulos, I.; Kayafas, E. (2014)
      In this paper we present a preliminary analysis over the largest publicly accessible web dataset: The Common Crawl Corpus. We measure nine web characteristics from two levels of granularity using MapReduce and we comment ...

    • Exploring the role of facebook as collaboration platform in a K-12 MOOC 

      Koutsakas P., Syritzidou E., Karamatsouki A., Karagiannidis C. (2019)
      This paper investigates the role of a Facebook group as a complementary communication and collaboration platform to the Udemy Q&A forum, in a computer programming MOOC developed for Greek vocational high-school students ...

    • Facebook social support: A comparative study on depression and personality characteristics 

      Giota, K. G.; Kleftaras, G. (2013)
      The explosive growth of Social Networking Sites such as Facebook had a huge impact on psychological research. One of the most controversial questions regards to whether online relationships provide meaningful social support. ...

    • A framework for scheduling the encoding of multiple smart user videos 

      Koziri M., Papadopoulos P., Tziritas N., Dadaliaris A.N., Loukopoulos T., Stamoulis G.I. (2016)
      The ever increasing number of video uploads in social media platforms, together with the incorporation of live video broadcasts and a growing demand for higher video resolution, will likely pose the most significant ...

    • Fusing Handcrafted and Contextual Features for Human Activity Recognition 

      Vernikos I., Mathe E., Spyrou E., Mitsou A., Giannakopoulos T., Mylonas P. (2019)
      In this paper we present an approach for the recognition of human activity that combines handcrafted features from 3D skeletal data and contextual features learnt by a trained deep Convolutional Neural Network (CNN). Our ...

    • A generic framework for a peer to peer blockchain based fog architecture in industrial automation 

      Lallas E.N., Xenakis A., Stamoulis G. (2019)
      Industrial Internet of things (IIoT) is referred exclusively to smart and cheap sensor based devices lying on top of machines or machine parts, to collect and process massive raw data and therefore to make intelligent ...

    • GeoMakeIt!: A Platform for Developing Location Based Games 

      Dimitriadis V., Oikonomou P., Papadopoulos P.K., Panagou N., Dadaliaris A.N., Loukopoulos T. (2020)
      Location based or pervasive games are played outdoors from users with GPS enabled smartphone devices and involve physical visits of various geographical locations by the player. The fact that the playing area combines both ...

    • Global and Pointer Variables in High-Level Synthesis 

      Dimitriou G., Dossis M., Stamoulis G. (2020)
      High-level synthesis (HLS) has been an important tool in digital circuit design for more than two decades, especially for processor components like accelerators or coprocessors. However, many high-level language characteristics ...

    • Grand challenge: Dynamic graph management for streaming social media analytics 

      Vlassopoulos C., Kontopoulos I., Apostolou M., Artikis A., Vogiatzis D. (2016)
      We present a system for analytics on streaming social media that computes the most active posts, based on the age and the amount of comments for each post, and tracks the largest communities that comprise friends that are ...

    • GRATIS: A GRaph tool for information systems scientists 

      Vlachos V., Siklafidis T., Chantzi K. (2019)
      All technological, biological and social networks can be represented as graphs. Therefore, graphs are utilised in simulation-based studies of new algorithms and protocols in various scientific fields. This paper presents ...

    • Hadoop MapReduce Performance on SSDs for Analyzing Social Networks 

      Bakratsas M., Basaras P., Katsaros D., Tassiulas L. (2018)
      The advent of Solid State Drives (SSDs) stimulated a lot of research to investigate and exploit to the extent possible the potentials of the new drive. The focus of this work is on the investigation of the relative performance ...

    • Hadoop-based distributed k-shell decomposition for social networks 

      Pechlivanidou K., Katsaros D., Tassiulas L. (2017)
      Complex network analysis comprises a popular set of tools for the analysis of online social networks. Among these techniques, k-shell decomposition of a network is a technique that has been used for centrality analysis, ...

    • A health care monitoring system that uses ontology agents 

      Christopoulou S.C., Kotsilieris T., Anagnostopoulos I. (2016)
      The healthcare domain is mission critical and vast research efforts keep being funded in order to improve life quality of people. Health management consists of specific cooperation intensive activities, while medical ...

    • Heuristics for iterative detailed standard cell placement 

      Oikonomou P., Koziri M.G., Dadaliaris A.N., Hatzaras Y., Nerantzaki E., Stamoulis G.I. (2016)
      In cell placement a number of cells with rectangular shapes, must be placed inside a chip area so that no cells overlap and a target function is optimized. In standard cell placement all rectangles have the same width and ...

    • Hybrid Time-series Representation for the Classification of Driving Behaviour 

      Savelonas M., Mantzekis D., Labiris N., Tsakiri A., Karkanis S., Spyrou E. (2020)
      The classification of driving behaviour is important for monitoring driving risk and fuel efficiency, as well as for providing a personalized view, or 'fingertip', of each driver, useful in driving assistance and car ...

    • Image Segmentation based on Determinative Brain Storm optimization 

      Sovatzidi G., Savelonas M., Koutsiou D.-C.C., Iakovidis D.K. (2020)
      Brain Storm optimization (BSO) is a swarm-based, metaheuristic for global optimization, which has been inspired by the collective behavior of human beings. In this work, a novel BSO-based variant, Determinative BSO (DBSO), ...

    • The impact of social networks on health care 

      Kotsilieris T., Pavlaki A., Christopoulou S., Anagnostopoulos I. (2017)
      Our work examines the risks and benefits stemming from the evolution of Social Network Services (SNSs) in the healthcare domain. More specifically, we study the impact of specific health-oriented social networks such as ...

    • InfluenceTracker: Rating the impact of a twitter account 

      Razis, G.; Anagnostopoulos, I. (2014)
      This paper describes a methodology for rating the influence of a Twitter account in this famous microblogging service. Then it is evaluated over real accounts, under the belief that influence is not only a matter of quantity ...