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dc.contributor.authorHowden, Chris
dc.contributor.authorLiu, Lu
dc.contributor.authorLi, Zhiyuan
dc.contributor.authorLi, Jianxin
dc.contributor.authorAntonopoulos, Nikolaos
dc.date.accessioned2016-11-16T18:12:38Z
dc.date.available2016-11-16T18:12:38Z
dc.date.issued2014-06-15
dc.identifier.citationHowden, C. et al (2014) 'Virtual vignettes: the acquisition, analysis, and presentation of social network data', Science China Information Sciences, 57 (3), pp. 1-20en
dc.identifier.issn1674-733X
dc.identifier.doi10.1007/s11432-014-5069-9
dc.identifier.urihttp://hdl.handle.net/10545/620874
dc.description.abstractOnline social networks (OSNs) are immensely prevalent and have now become a ubiquitous and important part of the modern, developed society. However, online social networks pose significant problems to digital forensic investigators who have no experience online. Data will reside on multiples of servers in multiple countries, across multiple jurisdictions. Capturing it before it is overwritten or deleted is a known problem, mirrored in other cloud based services. In this article, a novel method has been developed for the extraction, analysis, visualization, and comparison of snapshotted user profile data from the online social network Twitter. The research follows a process of design, implementation, simulation, and experimentation. Source code of the tool that was developed to facilitate data extraction has been made available on the Internet.
dc.description.sponsorshipThe work supported by the Natural Science Foundation of Jiangsu Province of China (Grant No. BK20130528), the Sino-UK Higher Education Research Partnership for Ph.D. Studies, RLTF Social P2P Programme, Visiting Research Fellow Program of Tongji University (Grant No. 8105142504), the National Natural Science Foundation of China (Grant Nos. 61202474 and 61272074), and National Basic Research Program of China (973) (Grant No. 2011CB302600).en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urlhttp://link.springer.com/10.1007/s11432-014-5069-9en
dc.rightsArchived with thanks to Science China Information Sciencesen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectSocial networking sitesen
dc.subjectData analysisen
dc.subjectSocial network analysisen
dc.subjectCloud computingen
dc.subjectDigital forensicsen
dc.subjectTwitteren
dc.titleVirtual vignettes: the acquisition, analysis, and presentation of social network dataen
dc.typeArticleen
dc.identifier.eissn1869-1919
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalScience China Information Sciencesen
html.description.abstractOnline social networks (OSNs) are immensely prevalent and have now become a ubiquitous and important part of the modern, developed society. However, online social networks pose significant problems to digital forensic investigators who have no experience online. Data will reside on multiples of servers in multiple countries, across multiple jurisdictions. Capturing it before it is overwritten or deleted is a known problem, mirrored in other cloud based services. In this article, a novel method has been developed for the extraction, analysis, visualization, and comparison of snapshotted user profile data from the online social network Twitter. The research follows a process of design, implementation, simulation, and experimentation. Source code of the tool that was developed to facilitate data extraction has been made available on the Internet.


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Archived with thanks to Science China Information Sciences
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