{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T01:17:41Z","timestamp":1764897461197,"version":"3.46.0"},"reference-count":0,"publisher":"Canadian Center of Science and Education","issue":"2","license":[{"start":{"date-parts":[[2017,4,25]],"date-time":"2017-04-25T00:00:00Z","timestamp":1493078400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CIS"],"abstract":"<jats:p>Profiling users in Online Social Networks (OSNs) is of great benefit in multiple domains (e.g., marketing, sociology, and forensics). In this paper, we propose a new model for rating user\u2019s profile (i.e., low, medium, high, and advanced) in an OSN community by embedding it into clusters located at predefined range of radius in a low-dimensional Cartesian space. The orthogonal coordinates of the profile are estimated using Principle Component Analysis (PCA) applied on a vector of metrics formulated as a set of attributes of interest (i.e., qualitative and quantitative) mined from the user\u2019s profile to characterize his\/her level of participation and behavior in the community. The experimentations are conducted on 3000 simulated profiles of three OSNs (Facebook, Twitter and Instagram) by embedding them in three cartesian spaces of three corresponding communities (Religion, Political and Lifestyle).\u00a0 The results show that we are able to estimate accurately the profile rates by reducing the vector of metrics to a low-dimensional space whittle down to 3-D space.<\/jats:p>","DOI":"10.5539\/cis.v10n2p39","type":"journal-article","created":{"date-parts":[[2017,4,25]],"date-time":"2017-04-25T02:07:31Z","timestamp":1493086051000},"page":"39","source":"Crossref","is-referenced-by-count":3,"title":["A New Model for Rating Users\u2019 Profiles in Online Social Networks"],"prefix":"10.5539","volume":"10","author":[{"given":"Mohammad","family":"Malli","sequence":"first","affiliation":[]},{"given":"Nadine","family":"Said","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2284-5034","authenticated-orcid":false,"given":"Ahmad","family":"Fadlallah","sequence":"additional","affiliation":[]}],"member":"3486","published-online":{"date-parts":[[2017,4,25]]},"container-title":["Computer and Information Science"],"original-title":[],"link":[{"URL":"http:\/\/www.ccsenet.org\/journal\/index.php\/cis\/article\/viewFile\/65411\/36812","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.ccsenet.org\/journal\/index.php\/CIS\/article\/download\/65411\/36812","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T01:13:27Z","timestamp":1764897207000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.ccsenet.org\/journal\/index.php\/cis\/article\/view\/65411"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,25]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2017,3,2]]}},"URL":"https:\/\/doi.org\/10.5539\/cis.v10n2p39","relation":{},"ISSN":["1913-8997","1913-8989"],"issn-type":[{"type":"electronic","value":"1913-8997"},{"type":"print","value":"1913-8989"}],"subject":[],"published":{"date-parts":[[2017,4,25]]}}}