| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ntalianis, Klimis | - |
| dc.contributor.author | Tsapatsoulis, Nicolas | - |
| dc.date.accessioned | 2024-11-21T12:44:57Z | - |
| dc.date.available | 2024-11-21T12:44:57Z | - |
| dc.date.issued | 2017-07-02 | - |
| dc.identifier | scopus-85047326868 | - |
| dc.identifier.isbn | 978-1-5386-3066-2 | - |
| dc.identifier.other | 85047326868 | - |
| dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2919 | - |
| dc.description.abstract | In this paper, multiresolution organization of social media users' profiles is proposed that enables fast browsing and effective transmission of characteristic profiles. The scheme results in the construction of a novel three-layer tree structure. At layer 0 the root-node contains the most representative profile among class representatives (CRs). Each node of layer 1 represents a class of profiles, while in layer 2 the full resolution is available (all profiles). The nodes of the proposed tree structure contain viewing elements and in this paper we focus on the extraction of viewing elements for layers 0, and 1. Towards this direction the viewing elements of layer 1 are optimally extracted using an interpolation method, while the viewing element of layer 0 is estimated from the viewing elements of layer 1. The resulting tree-structure enables users to quickly browse and detect profiles of interest, by selecting the viewing elements they like. Experimental results on reallife social media users indicate the promising performance of this innovative scheme. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) | en_US |
| dc.subject | Social media | en_US |
| dc.subject | Multiresolution organization | en_US |
| dc.subject | Social computing | en_US |
| dc.subject | Profiles' visualization | en_US |
| dc.title | Multiresolution organization of social media users' profiles: fast detection and efficient transmission of characteristic profiles | en_US |
| dc.type | Conference Paper | en_US |
| dc.relation.conference | 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 21-23 June 2017, Exeter, United Kingdom | en_US |
| dc.identifier.doi | 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.237 | en_US |
| dc.identifier.scopus | 2-s2.0-85047326868 | - |
| dcterms.accessRights | 0 | en_US |
| dc.relation.dept | Department of Business Administration | en_US |
| dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
| dc.identifier.spage | 37 | en_US |
| dc.identifier.epage | 43 | en_US |
| dc.collaboration | University of West Attica (UNIWA) | en_US |
| dc.subject.field | Engineering and Technology | en_US |
| dc.journals | Open Access | en_US |
| dc.publication | Peer Reviewed | en_US |
| dc.country | Greece | en_US |
| local.metadatastatus | not verified | en_US |
| item.fulltext | No Fulltext | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.cerifentitytype | Publications | - |
| item.openairetype | Conference Paper | - |
| item.languageiso639-1 | en | - |
| item.grantfulltext | none | - |
| crisitem.author.dept | Department of Business Administration | - |
| crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
| crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
| Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου | |
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