Facebook and Tencent Data Fit a Cube Law Better than Metcalfe's Law.
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| Title: | Facebook and Tencent Data Fit a Cube Law Better than Metcalfe's Law. |
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| Authors: | Zhang, Xing-Zhou1,2 (AUTHOR) zhangxingzhou@ict.ac.cn, Xu, Zhi-Wei1,2 (AUTHOR) |
| Source: | Journal of Computer Science & Technology (10009000). Apr2023, Vol. 38 Issue 2, p219-227. 9p. |
| Subjects: | Tencent Holdings Ltd., Network effect, Meta Platforms Inc., State laws |
| Abstract: | Metcalfe 's law states that the value of a network grows as the square of the number of its users (V ∝ n2), 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 ∝ n2) 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Computer Science & Technology (10009000) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 164433950 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Facebook and Tencent Data Fit a Cube Law Better than Metcalfe's Law. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Xing-Zhou%22">Zhang, Xing-Zhou</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zhangxingzhou@ict.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Zhi-Wei%22">Xu, Zhi-Wei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Science+%26+Technology+%2810009000%29%22">Journal of Computer Science & Technology (10009000)</searchLink>. Apr2023, Vol. 38 Issue 2, p219-227. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Tencent+Holdings+Ltd%2E%22">Tencent Holdings Ltd.</searchLink><br /><searchLink fieldCode="DE" term="%22Network+effect%22">Network effect</searchLink><br /><searchLink fieldCode="DE" term="%22Meta+Platforms+Inc%2E%22">Meta Platforms Inc.</searchLink><br /><searchLink fieldCode="DE" term="%22State+laws%22">State laws</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Metcalfe 's law states that the value of a network grows as the square of the number of its users (V ∝ n2), 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 ∝ n2) 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Computer Science & Technology (10009000) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11390-022-2845-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 219 Subjects: – SubjectFull: Tencent Holdings Ltd. Type: general – SubjectFull: Network effect Type: general – SubjectFull: Meta Platforms Inc. Type: general – SubjectFull: State laws Type: general Titles: – TitleFull: Facebook and Tencent Data Fit a Cube Law Better than Metcalfe's Law. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Xing-Zhou – PersonEntity: Name: NameFull: Xu, Zhi-Wei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 10009000 Numbering: – Type: volume Value: 38 – Type: issue Value: 2 Titles: – TitleFull: Journal of Computer Science & Technology (10009000) Type: main |
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