Overlapped user-based comparative study on photo-sharing websites
Along with the development of Web2.0 technologies and the prevalence of digital capture devices, there has been an increased popularity of various photo-sharing websites, e.g., Flickr, Instagram, and Pinterest. More and more people today are creating and sharing millions of personal photos using the...
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| Published in | Information sciences Vol. 376; pp. 54 - 70 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
10.01.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0020-0255 1872-6291 |
| DOI | 10.1016/j.ins.2016.10.005 |
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| Abstract | Along with the development of Web2.0 technologies and the prevalence of digital capture devices, there has been an increased popularity of various photo-sharing websites, e.g., Flickr, Instagram, and Pinterest. More and more people today are creating and sharing millions of personal photos using these photo-sharing websites. Previous studies have shown that an individual may register and participate with several online social networking websites, and is referred to as an “overlapped user”. In this work, we use Flickr and Instagram as test platforms to conduct a comparative study on the behaviors of overlapped users on different photo-sharing websites, including their temporal distribution, location distribution, photo annotation, and social attributes. We theoretically show that observations based on the overlapped users are more significant than those that are based on independent subject groups. Moreover, the derived observations are not only helpful in understanding the multi-online social networking (OSN) participation phenomenon in the context of photo-sharing behaviors, but they provide practical instructions to photo-sharing-based user modeling applications. |
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| AbstractList | Along with the development of Web2.0 technologies and the prevalence of digital capture devices, there has been an increased popularity of various photo-sharing websites, e.g., Flickr, Instagram, and Pinterest. More and more people today are creating and sharing millions of personal photos using these photo-sharing websites. Previous studies have shown that an individual may register and participate with several online social networking websites, and is referred to as an "overlapped user". In this work, we use Flickr and Instagram as test platforms to conduct a comparative study on the behaviors of overlapped users on different photo-sharing websites, including their temporal distribution, location distribution, photo annotation, and social attributes. We theoretically show that observations based on the overlapped users are more significant than those that are based on independent subject groups. Moreover, the derived observations are not only helpful in understanding the multi-online social networking (OSN) participation phenomenon in the context of photo-sharing behaviors, but they provide practical instructions to photo-sharing-based user modeling applications. |
| Author | Sang, Jitao Wu, Ruoshan Lu, Dongyuan |
| Author_xml | – sequence: 1 givenname: Dongyuan orcidid: 0000-0001-8443-5375 surname: Lu fullname: Lu, Dongyuan organization: School of Information Technology and Management, University of International Business and Economics, 100029, China – sequence: 2 givenname: Ruoshan surname: Wu fullname: Wu, Ruoshan organization: School of Information Technology and Management, University of International Business and Economics, 100029, China – sequence: 3 givenname: Jitao orcidid: 0000-0002-7938-0119 surname: Sang fullname: Sang, Jitao email: jtsang@nlpr.ia.ac.cn organization: National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, China |
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| Keywords | Photo-sharing websites User behavior analysis Overlapped user Multi-OSN participation |
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| Title | Overlapped user-based comparative study on photo-sharing websites |
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