Popularity and Novelty Dynamics in Evolving Networks
文献类型:期刊论文
作者 | Abbas, Khushnood1,2,3; Shang, Mingsheng2![]() ![]() |
刊名 | SCIENTIFIC REPORTS
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出版日期 | 2018-04-20 |
卷号 | 8页码:10 |
ISSN号 | 2045-2322 |
DOI | 10.1038/s41598-018-24456-2 |
英文摘要 | Network science plays a big role in the representation of real-world phenomena such as user-item bipartite networks presented in e-commerce or social media platforms. It provides researchers with tools and techniques to solve complex real-world problems. Identifying and predicting future popularity and importance of items in e-commerce or social media platform is a challenging task. Some items gain popularity repeatedly over time while some become popular and novel only once. This work aims to identify the key-factors: popularity and novelty. To do so, we consider two types of novelty predictions: items appearing in the popular ranking list for the first time; and items which were not in the popular list in the past time window, but might have been popular before the recent past time window. In order to identify the popular items, a careful consideration of macro-level analysis is needed. In this work we propose a model, which exploits item level information over a span of time to rank the importance of the item. We considered ageing or decay effect along with the recent link-gain of the items. We test our proposed model on four various real-world datasets using four information retrieval based metrics. |
资助项目 | National Natural Science Foundation of China[91646114] ; Chongqing research program of technology innovation and application[cstc2017rgzn-zdyfX0020] |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
WOS记录号 | WOS:000430537800009 |
出版者 | NATURE PUBLISHING GROUP |
源URL | [http://119.78.100.138/handle/2HOD01W0/6285] ![]() |
专题 | 大数据挖掘及应用中心 |
通讯作者 | Abbas, Khushnood; Shang, Mingsheng; Abbasi, Alireza |
作者单位 | 1.Univ Elect Sci & Technol China, Web Sci Ctr, Chengdu, Sichuan, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China 3.Univ New South Wales UNSW Australia, Sch Engn & IT, Canberra, ACT, Australia 4.South China Univ Technol, Phys & Photoelect Sch, Guangzhou 510640, Guangdong, Peoples R China |
推荐引用方式 GB/T 7714 | Abbas, Khushnood,Shang, Mingsheng,Abbasi, Alireza,et al. Popularity and Novelty Dynamics in Evolving Networks[J]. SCIENTIFIC REPORTS,2018,8:10. |
APA | Abbas, Khushnood,Shang, Mingsheng,Abbasi, Alireza,Luo, Xin,Xu, Jian Jun,&Zhang, Yu-Xia.(2018).Popularity and Novelty Dynamics in Evolving Networks.SCIENTIFIC REPORTS,8,10. |
MLA | Abbas, Khushnood,et al."Popularity and Novelty Dynamics in Evolving Networks".SCIENTIFIC REPORTS 8(2018):10. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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