IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2102.09102.html
   My bibliography  Save this paper

The Small World Phenomenon and Network Analysis of ICT Startup Investment in Indonesia and Singapore

Author

Listed:
  • Farid Naufal Aslam
  • Andry Alamsyah

Abstract

The internet's rapid growth stimulates the emergence of start-up companies based on information technology and telecommunication (ICT) in Indonesia and Singapore. As the number of start-ups and its investor growth, the network of its relationship become larger and complex, but on the other side feel small. Everyone in the ICT start-up investment network can be reached in short steps, led to a phenomenon called small-world phenomenon, a principle that we are all connected by a short chain of relationships. We investigate the pattern of the relationship between a start-up with its investor and the small world characteristics using network analysis methodology. The research is conducted by creating the ICT start-up investment network model of each country and calculate its small-world network properties to see the characteristic of the networks. Then we compare and analyze the result of each network model. The result of this research is to give knowledge about the current condition of ICT start-up investment in Indonesia and Singapore. The research is beneficial for business intelligence purposes to support decision-making related to ICT start-up investment.

Suggested Citation

  • Farid Naufal Aslam & Andry Alamsyah, 2021. "The Small World Phenomenon and Network Analysis of ICT Startup Investment in Indonesia and Singapore," Papers 2102.09102, arXiv.org.
    • Handle: RePEc:arx:papers:2102.09102
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2102.09102
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thong Pham & Paul Sheridan & Hidetoshi Shimodaira, 2015. "PAFit: A Statistical Method for Measuring Preferential Attachment in Temporal Complex Networks," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-18, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. C Ben Gibson & Norbou Buchler & Blaine Hoffman & Claire-Genevieve La Fleur, 2019. "Participation shifts explain degree distributions in a human communications network," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-13, May.
    2. Li, Bo & Sun, Duoyong & Bai, Guanghan, 2017. "Empirical research on evolutionary behavior of covert network with preference measurement," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 33-43.
    3. Inoue, Masaaki & Pham, Thong & Shimodaira, Hidetoshi, 2020. "Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks," Journal of Informetrics, Elsevier, vol. 14(3).
    4. Guillermo Armando Ronda-Pupo & Thong Pham, 2018. "The evolutions of the rich get richer and the fit get richer phenomena in scholarly networks: the case of the strategic management journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 363-383, July.
    5. Gerardo Iñiguez & Sara Heydari & János Kertész & Jari Saramäki, 2023. "Universal patterns in egocentric communication networks," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    6. Pinto, Pablo E. & Vallone, Andres & Honores, Guillermo, 2019. "The structure of collaboration networks: Findings from three decades of co-invention patents in Chile," Journal of Informetrics, Elsevier, vol. 13(4).
    7. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2017. "The scaling relationship between degree centrality of countries and their citation-based performance on Management Information Systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1285-1299, September.
    8. Servedio, Vito D.P. & Ferreira, Márcia R. & Reisz, Niklas & Costas, Rodrigo & Thurner, Stefan, 2023. "Scale-free growth in regional scientific capacity building explains long-term scientific dominance," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2102.09102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.