Facebook and Tencent Data Fit a Cube Law Better than Metcalfe's Law
文献类型：期刊论文
| 作者 | Zhang, Xing-Zhou1; Xu, Zhi-Wei |
| 刊名 | JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
 |
| 出版日期 | 2023-04-01 |
| 卷号 | 38期号:2页码:219-227 |
| 关键词 | network effect Metcalfe's law cube law netoid function |
| ISSN号 | 1000-9000 |
| DOI | 10.1007/s11390-022-2845-7 |
| 英文摘要 | Metcalfe 's law states that the value of a network grows as the square of the number of its users (V & PROP; n(2)), which was validated by actual data of Facebook and Tencent in 2013-2015. Since then, the users and the values of Facebook and Tencent have increased significantly. Is Metcalfe's law still valid? This paper leverages the latest data of Facebook and Tencent to fit the network effect laws and makes the following observations: 1) actual data of network values fit a cube law (V & PROP; n(2)) better than Metcalfe's law; 2) actual data of network costs fit a cube law; 3) actual data of network sizes show a growth trend matching the netoid function well. We also discuss the underlying factors affecting such observations and the generality of the network effect laws. |
| 资助项目 | China Postdoctoral Science Foundation[2021M693227] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001017832400001 |
| 出版者 | SPRINGER SINGAPORE PTE LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/21303]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Zhang, Xing-Zhou |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Xing-Zhou,Xu, Zhi-Wei. Facebook and Tencent Data Fit a Cube Law Better than Metcalfe's Law[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2023,38(2):219-227. |
| APA | Zhang, Xing-Zhou,&Xu, Zhi-Wei.(2023).Facebook and Tencent Data Fit a Cube Law Better than Metcalfe's Law.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,38(2),219-227. |
| MLA | Zhang, Xing-Zhou,et al."Facebook and Tencent Data Fit a Cube Law Better than Metcalfe's Law".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 38.2(2023):219-227. |
入库方式： OAI收割
来源：计算技术研究所
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