@inbook{b56721ab5648440d85d878edc2ba253e,
title = "A Graph Analytics Methodology for Analyzing Startup Ecosystems",
abstract = "Startup companies are engines of economic growth and diversity. A unicorn company is a privately held start-up company that has grown to a valuation of over \$1 billion. As of January 2023, there were over 1,200 unicorn companies worldwide. In this study, we present a custom-developed graph analytics methodology for the systematic analysis of unicorn and startup ecosystems. We show the applicability of and insights obtained by the methodology through a case study using a public dataset on unicorn companies. Graph analytics through algorithmically generated visualizations can enable the derivation and understanding of meaningful insights, even by non-technical analysts and decision-makers in entrepreneurship ecosystems and government organizations.",
keywords = "Entrepreneurship, Graph analytics, Innovation management, Startup ecosystems, Technology management, Unicorn companies",
author = "Ali AlKatheeri and Saif Abdulmajeed and Abdulla Albedwawi and Abdulalrheem AlSheebany and Samir Safi and Gurdal Ertek",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.",
year = "2024",
doi = "10.1007/978-3-031-61589-4\_6",
language = "English",
series = "Lecture Notes in Operations Research",
publisher = "Springer Nature",
pages = "63--71",
booktitle = "Lecture Notes in Operations Research",
address = "United States",
}
