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Effect of recommending users and opinions on the network connectivity and idea generation process

arxiv.org · 6,706 words · saved by 1 readers

This is experimental HTML to improve accessibility. We invite you to report rendering errors. Use Alt+Y to toggle on accessible reporting links and Alt+Shift+Y to toggle off. Learn more about this project and help improve conversions. Abstract The growing reliance on online services underscores the crucial role of recommendation systems, especially on social media platforms seeking increased user engagement. This study investigates how recommendation systems influence the impact of personal behavioral traits on social network dynamics. It explores the interplay between homophily, users’ openness to novel ideas, and recommendation-driven exposure to new opinions. Additionally, the research examines the impact of recommendation systems on the diversity of newly generated ideas, shedding light on the challenges and opportunities in designing effective systems that balance the exploration of new ideas with the risk of reinforcing biases or filtering valuable, unconventional concepts. With

Effect of recommending users and opinions on the network connectivity and idea generation process Sriniwas Pandey 1 ⁣ * 1 {}^{1*} start_FLOATSUPERSCRIPT 1 * end_FLOATSUPERSCRIPT and Hiroki Sayama 1 , 2 1 2 {}^{1,2} start_FLOATSUPERSCRIPT 1 , 2 end_FLOATSUPERSCRIPT 1 1 {}^{1} start_FLOATSUPERSCRIPT 1 end_FLOATSUPERSCRIPT Binghamton Center of Complex Systems, Binghamton University, Binghamton, USA 2 2 {}^{2} start_FLOATSUPERSCRIPT 2 end_FLOATSUPERSCRIPT Faculty of Commerce, Waseda University, Japan * {}^{*} start_FLOATSUPERSCRIPT * end_FLOATSUPERSCRIPT spandey4@binghamton.edu Abstract The growin

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