Cross-Platform Community Dynamics: Homophily, Heterophily, and “Bridge Users” in the Era of Multiplex Social Networks

Recent technical advances (Zhu et al., 2024; Zhang et al., 2024) have begun to tackle community detection across heterogeneous or multiplex social networks. This research would push further by specifically examining “bridge users”—individuals who participate in disparate communities on different platforms (e.g., Twitter vs. Instagram)—and analyzing whether their cross-platform ties foster homophily, heterophily, or unique hybrid communities. Are these bridges sources of innovation and social capital, or do they experience “identity strain”? Integrating network science, psychology, and digital ethnography, this project would offer new insights into how social structures transcend platform boundaries in the digital age.

References:

1. Community Detection for Heterogeneous Multiple Social Networks. Ziqing Zhu, Guan Yuan, Tao Zhou, Jiuxin Cao (2024). IEEE Transactions on Computational Social Systems.
2. Community detection based on nonnegative matrix tri-factorization for multiplex social networks. Jun Zhang, Fenfen Wang, Jian Zhou (2024). J. Complex Networks.