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- W3008120006 abstract "Different social media environments enable different levels of community connectedness, which in turn affects the information that a user is exposed to. In this study, we create an agent-based model to investigate how the different levels of connectedness as well as network structure affects a group’s diversity of opinions. In the model, agents are tasked with “liking” or “disliking” a set of objects. At each turn, each agent sees the most popular object amongst the agents that they are connected to. There are two main findings: 1) low network connectivity leads to more diversity amongst agents, 2) a complete network leads information popularity distribution to be more skewed, 3) the more random a network is, the more skewed information popularity distribution is. These findings suggest that online platforms that either create well-connected communities or present aggregated information of users (such as Billboard rankings) may lead to homogeneity in the subjective preference of the users over time." @default.
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- W3008120006 date "2019-12-01" @default.
- W3008120006 modified "2023-09-27" @default.
- W3008120006 title "Effects of Network Structure on Subjective Preference Diversity" @default.
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- W3008120006 doi "https://doi.org/10.1109/bigdata47090.2019.9005454" @default.
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