Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Dmytro Karamshuk"'
Publikováno v:
IEEE Transactions on Big Data. 7:873-884
Video accounts for a large proportion of traffic on the Internet. Understanding its geographical viewing patterns is extremely valuable for the design of Internet ecosystems for content delivery, recommendation and ads. While previous works have addr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae2f590bf5d57c71ebc261431c886851
https://doi.org/10.1109/tbdata.2021.3055860
https://doi.org/10.1109/tbdata.2021.3055860
Autor:
David Matthews, Dmytro Karamshuk
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109967
ECML/PKDD (3)
ECML/PKDD (3)
We consider the problem of efficiently constructing cheap and novel round trip flight itineraries by combining legs from different airlines. We analyse the factors that contribute towards the price of such itineraries and find that many result from t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98cc69f7aeebb6299bf0a97d16ead856
https://doi.org/10.1007/978-3-030-10997-4_18
https://doi.org/10.1007/978-3-030-10997-4_18
Publikováno v:
ICDCS
Raman, A, Karamshuk, D, Sastry, N, Secker, A & Chandaria, J 2018, Consume Local : Towards Carbon Free Content Delivery . in International Conference on Distributed Computing Systems . vol. 2018-July, pp. 994-1003 . https://doi.org/10.1109/ICDCS.2018.00100
Raman, A, Karamshuk, D, Sastry, N, Secker, A & Chandaria, J 2018, Consume Local : Towards Carbon Free Content Delivery . in International Conference on Distributed Computing Systems . vol. 2018-July, pp. 994-1003 . https://doi.org/10.1109/ICDCS.2018.00100
P2P sharing amongst consumers has been proposed as a way to decrease load on Content Delivery Networks. This paper develops an analytical model that shows an additional benefit of sharing content locally: Selecting close by peers to share content fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c449071aa355b992454db5944fcfade
https://doi.org/10.1109/icdcs.2018.00100
https://doi.org/10.1109/icdcs.2018.00100
Publikováno v:
Karamshuk, D, Shaw, F, Brownlie, J & Sastry, N 2017, ' Bridging big data and qualitative methods in the social sciences : A case study of Twitter responses to high profile deaths by suicide ', Online Social Media and Networks, vol. 1, pp. 33-43 . https://doi.org/10.1016/j.osnem.2017.01.002
Karamshuk, D, Shaw, F, Brownlie, J & Sastry, N 2017, ' Bridging big data and qualitative methods in the social sciences: A case study of Twitter responses to high profile deaths by suicide ', Online Social Networks and Media, vol. 1, pp. 33-43 . https://doi.org/10.1016/j.osnem.2017.01.002
Karamshuk, D, Shaw, F, Brownlie, J & Sastry, N 2017, ' Bridging big data and qualitative methods in the social sciences: A case study of Twitter responses to high profile deaths by suicide ', Online Social Networks and Media, vol. 1, pp. 33-43 . https://doi.org/10.1016/j.osnem.2017.01.002
With the rise of social media, a vast amount of new primary research material has become available to social scientists, but the sheer volume and variety of this make it difficult to access through the traditional approaches: close reading and nuance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31c82a78b2ef6623ed7a111e331154ac
https://hdl.handle.net/20.500.11820/499cdfa2-fbf6-45ad-8190-3fc43fc14da6
https://hdl.handle.net/20.500.11820/499cdfa2-fbf6-45ad-8190-3fc43fc14da6
Autor:
Nishanth Sastry, Frances Shaw, Vanessa Pupavac, Dmytro Karamshuk, Mladen Pupavac, Julie Brownlie
Publikováno v:
Social Network Analysis ISBN: 9781315369594
Social Network Analysis
Social Network Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::993c9763fa6b6296cde4794af1e3bc5b
https://doi.org/10.1201/9781315369594-3
https://doi.org/10.1201/9781315369594-3
This paper investigates when users create profiles in different social networks, whether they are redundant expressions of the same persona, or they are adapted to each platform. Using the personal webpages of 116,998 users on About.me, we identify a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36b0e5b9d545735e99ab97667d3ccf68
http://arxiv.org/abs/1703.04791
http://arxiv.org/abs/1703.04791
Publikováno v:
Pervasive and mobile computing (Online) 11 (2014).
info:cnr-pdr/source/autori:Dmytro Karamshuk, Chiara Boldrini, Marco Conti, Andrea Passarella/titolo:SPoT: Representing the social, spatial, and temporal dimensions of human mobility with a unifying framework/doi:/rivista:Pervasive and mobile computing (Online)/anno:2014/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
Pervasive and mobile computing (Online) 6 (2013).
info:cnr-pdr/source/autori:Dmytro Karamshuk, Chiara Boldrini, Marco Conti, Andrea Passarella/titolo:SPoT: Representing the Social, Spatial, and Temporal Dimensions of Human Mobility with a Unifying Framework/doi:/rivista:Pervasive and mobile computing (Online)/anno:2013/pagina_da:/pagina_a:/intervallo_pagine:/volume:6
info:cnr-pdr/source/autori:Dmytro Karamshuk, Chiara Boldrini, Marco Conti, Andrea Passarella/titolo:SPoT: Representing the social, spatial, and temporal dimensions of human mobility with a unifying framework/doi:/rivista:Pervasive and mobile computing (Online)/anno:2014/pagina_da:/pagina_a:/intervallo_pagine:/volume:11
Pervasive and mobile computing (Online) 6 (2013).
info:cnr-pdr/source/autori:Dmytro Karamshuk, Chiara Boldrini, Marco Conti, Andrea Passarella/titolo:SPoT: Representing the Social, Spatial, and Temporal Dimensions of Human Mobility with a Unifying Framework/doi:/rivista:Pervasive and mobile computing (Online)/anno:2013/pagina_da:/pagina_a:/intervallo_pagine:/volume:6
Modeling human mobility is crucial in the analysis and simulation of opportunistic networks, where contacts are exploited as opportunities for peer-to-peer message forwarding. The current approach to human mobility modeling has been based on continuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::944c1c3e9534180114d250ef3aa8da30
https://doi.org/10.1016/j.pmcj.2013.07.011
https://doi.org/10.1016/j.pmcj.2013.07.011
Autor:
Jigna Chandaria, Gianfranco Nencioni, Dmytro Karamshuk, Vijay Badrinarayanan, Nishanth Sastry, Gareth Tyson, Jon Crowcroft
Publikováno v:
Nencioni, G, Sastry, N, Tyson, G, Badrinarayanan, V, Karamshuk, D, Chandaria, J & Crowcroft, J 2016, ' SCORE : Exploiting Global Broadcasts to Create Offline Personal Channels for On-Demand Access ', Ieee-Acm Transactions On Networking, vol. 24, no. 4, 7210228, pp. 2429-2442 . https://doi.org/10.1109/TNET.2015.2456186
IEEE/ACM Transactions on Networking
IEEE/ACM Transactions on Networking
The last 5 years have seen a dramatic shift in media distribution. For decades, TV and radio were solely provisioned using push-based broadcast technologies, forcing people to adhere to fixed schedules. The introduction of catch-up services, however,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::088ebd6bbde662ef910551e7fc73ed08
https://www.repository.cam.ac.uk/handle/1810/284900
https://www.repository.cam.ac.uk/handle/1810/284900
Autor:
Nishanth Sastry, Dmytro Karamshuk, Vasilis Friderikos, A. Hamid Aghvami, Seyed Ehsan Ghoreishi
Publikováno v:
ICC
Ghoreishi, S E, Friderikos, V, Karamshuk, D, Sastry, N R & Aghvami, A-H 2016, Provisioning Cost-Effective Mobile Video Caching . in IEEE International Conference on Communications (ICC) 2016 ., 7511549 . https://doi.org/10.1109/ICC.2016.7511549
Ghoreishi, S E, Friderikos, V, Karamshuk, D, Sastry, N R & Aghvami, A-H 2016, Provisioning Cost-Effective Mobile Video Caching . in IEEE International Conference on Communications (ICC) 2016 ., 7511549 . https://doi.org/10.1109/ICC.2016.7511549
The exploding volumes of mobile video traffic call for deploying content caches inside mobile operators network. With in-network caching, users’ requests for popular content can be served from a content cache deployed at mobile gateways in vicinity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf7ac7620e8deb0db8e57e8ba8514575
https://doi.org/10.1109/icc.2016.7511549
https://doi.org/10.1109/icc.2016.7511549
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319478791
Karamshuk, D, Lokot, T, Pryymak, O & Sastry, N 2016, Identifying partisan slant in news articles and twitter during political crises . in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . vol. 10046 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10046 LNCS, pp. 257-272, 8th International Conference on Social Informatics, SocInfo 2016, Bellevue, United States, 11/11/2016 . https://doi.org/10.1007/978-3-319-47880-7_16
Karamshuk, Dmytro, Lokot, Tetyana ORCID: 0000-0002-2488-4045, Pryymak, Oleksandr and Sastry, Nishanth (2016) Identifying partisan slant in news articles and Twitter during political crises. In: 8th International Conference on Social Informatics (SocInfo 2016), 14-17 Nov 2016, Seattle, USA.
Karamshuk, D, Lokot, T, Pryymak, O & Sastry, N 2016, Identifying partisan slant in news articles and twitter during political crises . in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . vol. 10046 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10046 LNCS, pp. 257-272, 8th International Conference on Social Informatics, SocInfo 2016, Bellevue, United States, 11/11/2016 . https://doi.org/10.1007/978-3-319-47880-7_16
Karamshuk, Dmytro, Lokot, Tetyana ORCID: 0000-0002-2488-4045
In this paper, we are interested in understanding the interrelationships between mainstream and social media in forming public opinion during mass crises, specifically in regards to how events are framed in the mainstream news and on social networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e81424472f1c2befde298f4baf8c964
https://doi.org/10.1007/978-3-319-47880-7_16
https://doi.org/10.1007/978-3-319-47880-7_16