https://m2.mtmt.hu/hun2024-03-29 10:34JournalArticle31470663VALIDATEDtrueCOMSATS University, Islamabad, Pakistan
Department of Computer Science, The University of Poonch, Rawalakot, Azad Jammu and Kashmir, Pakistan
Data61 CSIRO, Kintore Avenue, Adelaide, SA, Australia
Cyber Security Cooperative Research Centre, Adelaide, Australia
ARC Centre of Excellence for Mathematical and Statistical Frontiers, Adelaide, Australia
School of Mathematical Sciences, University of Adelaide, Adelaide, Australia
Cited By :5
Export Date: 25 October 2022
Correspondence Address: Rextin, A.; COMSATS UniversityPakistan; email: aimal.rextin@comsats.edu.pk0false2023-07-09T19:44:00.527+00002020-08-28T07:37:09.926+00002020-08-28T07:37:08.105+0000true565WoSimport
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REVIEWEDtruefalse10055589false10055589true2192-1962JournalFOREIGN1011111182020The contact list size of modern mobile phone users has increased up to hundreds of contacts, making contact retrieval a relatively difficult task. Various algorithms have been designed to predict the contact that a user will call at a given time. These algorithms use historical call data to make this prediction. However, modern mobile users do not just make calls, but also rely on various communication channels like text messages and calls to maintain their social relations. Despite the prevalence of multiple communication channels, predictive analysis of these channels has not been studied so far. Hence, this study deliberated on proposing a predictive model for dual-channel (text and calls). This study initially investigated the dual-channel communication behaviour of smartphone users by using a mixed approach i.e. subjective and objective data analysis and found many peculiarities. It was observed that the preferred communication channel was different for various contacts, even for a single user. Although the cost-effective texts were found to be more popular over phone calls, a significant proportion of user pairs seemed to prefer calls for most of their communication. A generic predictive framework for the dual-channel environment was proposed based upon these findings. This model predicts the next communication event by modelling temporal information of call and text on a 2D plane. This framework has three variations which not only predict the person who will be contacted at a particular time but also predict the channel of communication (call or text). Finally, the performance of different versions of the algorithm was evaluated using real-world dual-channel data. One version of the predictive model outperformed the other variations with a prediction accuracy over 90 percent, while the other variations also performed well.2020truetruetruefalsefalseGOLD2023-07-09false00000000000011Q1falsefalsefalsefalse338040trueLanguage10002
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<div class="JournalArticle Publication short-list"> <div class="authors"> <span class="author-name" > Hayat, Shamaila </span> <span class="author-type"> </span> ; <span class="author-name" > Rextin, Aimal ✉ </span> <span class="author-type"> </span> ; <span class="author-name" > Idris, Adnan </span> <span class="author-type"> </span> ; <span class="author-name" > Nasim, Mehwish </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;31470663" mtid="31470663" target="_blank">Text and phone calls: user behaviour and dual-channel communication prediction</a></div> <div class="pub-info"> <span class="journal-title">HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES</span> <span class="journal-volume">10</span> : <span class="journal-issue">1</span> <span class="page"> Paper: 11 , 18 p. </span> <span class="year">(2020)</span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1186/s13673-020-00217-x" target="_blank" href="https://doi.org/10.1186/s13673-020-00217-x"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000522441200001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000522441200001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85082742389" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85082742389"> Scopus </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Közlemény:31470663 </span> <span class="status-holder"><span class="status-data status-VALIDATED"> Egyeztetett </span></span> <span class="pub-core"> Idéző </span> <span class="pub-type">Folyóiratcikk (Szakcikk ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Tudományos</span> </div> </div> </div><div class="JournalArticle Publication long-list">
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<div class="autype autype0"> <span class="author-name" >Hayat Shamaila
</span>
;
<span class="author-name" >Rextin Aimal ✉
</span>
;
<span class="author-name" >Idris Adnan
</span>
;
<span class="author-name" >Nasim Mehwish
</span>
</div>
</div>
<div class="title"><a href="/gui2/?mode=browse¶ms=publication;31470663" target="_blank">Text and phone calls: user behaviour and dual-channel communication prediction</a></div> <div> <span class="journal-title">HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES</span>
<span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/2192-1962">2192-1962</a>)</span>:
<span class="journal-volume">10</span> <span class="journal-issue">1</span>
<span class="page">
Paper 11.
18 p.
</span> <span class="year">(2020)</span>
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<div class="pub-footer">
<span class="language" xmlns="http://www.w3.org/1999/html">Nyelv:
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Idézett közlemények száma: 1
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<div class="mtid"><span class="long-pub-mtid">Közlemény: 31470663</span>
| <span class="status-data status-VALIDATED"> Egyeztetett
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<div class="lastModified">Utolsó módosítás: 2020.08.28. 09:37 WoS import (admin)
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<pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: COMSATS University, Islamabad, Pakistan
Department of Computer Science, The University of Poonch, Rawalakot, Azad Jammu and Kashmir, Pakistan
Data61 CSIRO, Kintore Avenue, Adelaide, SA, Australia
Cyber Security Cooperative Research Centre, Adelaide, Australia
ARC Centre of Excellence for Mathematical...</pre>
</div></div>