What is it about?
Our paper explores how social networks like Facebook and Instagram grow and increase in value. Traditionally, network value was thought to grow in simple patterns based on the number of users and their connections. However, our research shows that modern networks, which form many user groups, grow much faster and in more complex ways. We introduce new models to explain this rapid growth and highlight how these networks leverage user groups for targeted advertising, driving their financial success. Our findings offer a fresh perspective on understanding the dynamics and economic impact of social networks.
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Why is it important?
Understanding the growth dynamics of social networks is crucial in today's digital age, where platforms like Facebook, Instagram, and TikTok play a significant role in our daily lives and the global economy. Traditional models fail to capture the rapid and complex growth patterns of these networks. Our research introduces new models that better explain this phenomenon, showing how user groups drive exponential value growth. Our work is timely as it provides insights that can help businesses optimize their strategies for online advertising and user engagement, ultimately leading to more effective monetization and resource allocation. By offering a deeper understanding of network value dynamics, our findings could shape future innovations in the digital economy.
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This page is a summary of: Modelling the growth of the network value, Chaos Solitons & Fractals, August 2024, Elsevier,
DOI: 10.1016/j.chaos.2024.115133.
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