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Identifying Successful Investors in the Startup Ecosystem

Authors:

Rahul C. BasoleAuthors Info & Claims

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

Pages 39 - 40

https://doi.org/10.1145/2740908.2742743

Published: 18 May 2015 Publication History

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Abstract

Who can spot the next Google, Facebook, or Twitter? Who can discover the next billion-dollar startups? Measuring investor success is a challenging task, as investment strategies can vary widely. We propose InvestorRank, a novel method for identifying successful investors by analyzing how an investor's collaboration network change over time. InvestorRank captures the intuition that a successful investor achieves increasingly success in spotting great startups, or is able to keep doing so persistently. Our results show potential in discovering relatively unknown investors that may be the success stories of tomorrow.

References

[1]

R. C. Basole and J. Putrevu. Venture financing in the mobile ecosystem. In ICMB, 2013.

Google Scholar

[2]

P. A. Gompers, A. Kovner, and J. Lerner. Specialization and success: Evidence from venture capital. Journal of Economics & Management Strategy, 18(3):817--844, 2009.

Crossref

Google Scholar

[3]

T. Haveliwala, S. Kamvar, and G. Jeh. An analytical comparison of approaches to personalizing pagerank. Technical Report 2003--35, Stanford University, 2003.

Google Scholar

[4]

Y. V. Hochberg, A. Ljungqvist, and Y. Lu. Whom you know matters: Venture capital networks and investment performance. The Journal of Finance, 62(1):251--301, 2007.

Crossref

Google Scholar

[5]

F. Manjoo. How "super angles" are reinventing the startup economy. {Online; posted 11-January-2011}.

Google Scholar

[6]

N. Saint. Who are the super angels? A comprehensive guide. {Online; posted 4-October-2010}.

Google Scholar

[7]

H. Tong, C. Faloutsos, and J. Y. Pan. Fast random walk with restart and its applications. In ICDM, 2006.

Digital Library

Google Scholar

[8]

Wikipedia. Super angels. {Online; posted 28-December-2014}.

Google Scholar

Cited By

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Islamia Nuraini Arnowo Hari Wibowo Muhammad Asrol Taufik Dyah Lang Wilis (2024)ANALISIS PEMELIHARAAN PREDIKTIF KENDARAAN OPERASIONAL MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN DECISION TREEJournal Publicuho10.35817/publicuho.v7i2.4127:2(591-603)Online publication date: 20-May-2024
https://doi.org/10.35817/publicuho.v7i2.412
Tian YLiu JZhang XYang XKe ZZhang CLiao LHong SZhang HLi Q(2023)InvestLens: A Visual Analytics Approach to Inspecting the Dynamics of Venture Capital Investment Network2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW)10.1109/ICDEW58674.2023.00007(12-19)Online publication date: Apr-2023
https://doi.org/10.1109/ICDEW58674.2023.00007
Uzuegbunam IOfem BFox JNambisan S(2022)The angels’ share hypothesis in new firmsSmall Business Economics10.1007/s11187-022-00695-661:2(843-865)Online publication date: 3-Oct-2022
https://doi.org/10.1007/s11187-022-00695-6
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Identifying Successful Investors in the Startup Ecosystem
1. Information systems
  1. Information systems applications

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Information

Published In

WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web

May 2015

1602 pages

ISBN:9781450334730

DOI:10.1145/2740908

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2015

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WWW '15

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IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

View all

Islamia Nuraini Arnowo Hari Wibowo Muhammad Asrol Taufik Dyah Lang Wilis (2024)ANALISIS PEMELIHARAAN PREDIKTIF KENDARAAN OPERASIONAL MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN DECISION TREEJournal Publicuho10.35817/publicuho.v7i2.4127:2(591-603)Online publication date: 20-May-2024
https://doi.org/10.35817/publicuho.v7i2.412
Tian YLiu JZhang XYang XKe ZZhang CLiao LHong SZhang HLi Q(2023)InvestLens: A Visual Analytics Approach to Inspecting the Dynamics of Venture Capital Investment Network2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW)10.1109/ICDEW58674.2023.00007(12-19)Online publication date: Apr-2023
https://doi.org/10.1109/ICDEW58674.2023.00007
Uzuegbunam IOfem BFox JNambisan S(2022)The angels’ share hypothesis in new firmsSmall Business Economics10.1007/s11187-022-00695-661:2(843-865)Online publication date: 3-Oct-2022
https://doi.org/10.1007/s11187-022-00695-6
Ross GDas SSciro DRaza H(2021)CapitalVX: A Machine Learning Model for Startup Selection and Exit PredictionThe Journal of Finance and Data Science10.1016/j.jfds.2021.04.001Online publication date: May-2021
https://doi.org/10.1016/j.jfds.2021.04.001
Kanwar PMehta RTidke B(2019)Correlation Based Multi-Criteria Feature Weighting for Identification of Top-k Investors and Companies2019 9th International Conference on Advances in Computing and Communication (ICACC)10.1109/ICACC48162.2019.8986183(271-277)Online publication date: Nov-2019
https://doi.org/10.1109/ICACC48162.2019.8986183
Rossetti GMilli LGiannotti FPedreschi D(2017)Forecasting success via early adoptions analysis: A data-driven studyPLOS ONE10.1371/journal.pone.018909612:12(e0189096)Online publication date: 7-Dec-2017
https://doi.org/10.1371/journal.pone.0189096
Zhong HLiu CZhong JXiong H(2016)Which startup to invest in: a personalized portfolio strategyAnnals of Operations Research10.1007/s10479-016-2316-z263:1-2(339-360)Online publication date: 19-Sep-2016
https://doi.org/10.1007/s10479-016-2316-z
Ross GSciro DDas SRaza H(undefined)CapitalVX: A Machine Learning Model for Startup Selection and Exit PredictionSSRN Electronic Journal10.2139/ssrn.3684185
https://doi.org/10.2139/ssrn.3684185

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