Acknowledgement
This research was supported by BK21 Fostering Outstanding Universities for Research (No. 5199990914048) and the National Research Foundation of Korea (No. NRF-2022R1A2C1005921). This paper is the extended version of the Annual Spring Conference of KIPS (ASK 2022) held in Seoul, Republic of Korea dated May 19-21, 2022 [22].
References
- Y. Yang, F. Hao, D. S. Park, S. Peng, H. Lee, and M. Mao, "Modelling prevention and control strategies for COVID-19 propagation with patient contact networks," Human-centric Computing and Information Sciences, vol. 11, article no. 45, 2021. https://doi.org/10.22967/HCIS.2021.11.045
- Y. Yang, F. Hao, B. Pang, G. Min, and Y. Wu, "Dynamic maximal cliques detection and evolution management in social internet of things: a formal concept analysis approach," IEEE Transactions on Network Science and Engineering, vol. 9, no. 3, pp. 1020-1032, 2022. https://doi.org/10.1109/TNSE.2021.3067939
- A. Das, S. V. Sanei-Mehri, and S. Tirthapura, "Shared-memory parallel maximal clique enumeration," in Proceedings of 2018 IEEE 25th International Conference on High Performance Computing (HiPC), Bengaluru, India, 2018, pp. 62-71. https://doi.org/10.1109/HiPC.2018.00016
- J. Cheng, L. Zhu, Y. Ke, and S. Chu, "Fast algorithms for maximal clique enumeration with limited memory," in Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Beijing, China, 2012, pp. 1240-1248. https://doi.org/10.1145/2339530.2339724
- Y. Yang, S. Peng, D. S. Park, F. Hao, and H. Lee, "A novel community detection method of social networks for the well-being of urban public spaces," Land, vol. 11, no. 5, article no. 716, 2022. https://doi.org/10.3390/land11050716
- I. Falih, N. Grozavu, R. Kanawati, and Y. Bennani, "Community detection in attributed network," in Companion Proceedings of the Web Conference, Lyon, France, 2018, pp. 1299-1306. https://doi.org/10.1145/3184558.3191570
- P. Chunaev, "Community detection in node-attributed social networks: a survey," Computer Science Review, vol. 37, article no. 100286, 2020. https://doi.org/10.1016/j.cosrev.2020.100286
- N. Mehrabi, F. Morstatter, N. Saxena, K. Lerman, and A. Galstyan, "A survey on bias and fairness in machine learning," ACM Computing Surveys (CSUR), vol. 54, no. 6, article no. 115, 2021. https://doi.org/10.1145/3457607
- S. Vincent-Lancrin and R. Van der Vlies, "Trustworthy artificial intelligence (AI) in education: promises and challenges," OECD Education Working Papers No. 218, Paris, France, 2020. https://doi.org/10.1787/a6c90fa9-en
- F Hao, W. Huang, and D. S. Park, "Absolute fair maximal cliques detection in attributed social networks," in Proceedings of the 16th International Conference on Multimedia & Ubiquitous Engineering (MUE), Jeju, South Korea, 2022.
- M. Pan, R. H. Li, Q. Zhang, Y. Dai, Q. Tian, and G. Wang, "Fairness-aware maximal clique enumeration," in Proceedings of 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 2022, pp. 259-271. https://doi.org/10.1109/ICDE53745.2022.00024
- L. Ji, "How to crack the information cocoon room under the background of intelligent media," International Journal of Social Science and Education Research, vol. 3, no. 3, pp. 169-173, 2020. https://doi.org/10.6918/IJOSSER.202003_3(3).0026
- Y. Fang, C. K. Cheng, S. Luo, and J. Hu, "Effective community search for large attributed graphs," Proceedings of the VLDB Endowment, vol. 9, no. 12, pp. 1233-1244, 2016. https://doi.org/10.14778/2994509.2994538
- A. Khan, L. Golab, M. Kargar, J. Szlichta, and M. Zihayat, "Compact group discovery in attributed graphs and social networks," Information Processing & Management, vol. 57, no. 2, article no. 102054, 2020. https://doi.org/10.1016/j.ipm.2019.102054
- Y. Li, C. Sha, X. Huang, and Y. Zhang, "Community detection in attributed graphs: an embedding approach," Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32, no. 1, pp. 338-345, 2018. https://doi.org/10.1609/aaai.v32i1.11274
- C. Pizzuti and A. Socievole, "A genetic algorithm for community detection in attributed graphs," in Applications of Evolutionary Computation. Cham, Switzerland: Springer, 2018, pp. 159-170. https://doi.org/10.1007/978-3-319-77538-8_12
- Z. Chen, L. Yuan, X. Lin, L. Qin, and J. Yang, "maximal balanced clique enumeration in signed networks," in Proceedings of the Web Conference, Taipei, Taiwan, 2020, pp. 339-349. https://doi.org/10.1145/3366423.3380119
- J. Salminen, M. Hopf, S. A. Chowdhury, S. G. Jung, H. Almerekhi, and B. J. Jansen, "Developing an online hate classifier for multiple social media platforms," Human-centric Computing and Information Sciences, vol. 10, article no. 1, 2020. https://doi.org/10.1186/s13673-019-0205-6
- Y. Yang, D. S. Park, F. Hao, S. Peng, H. Lee, and M. P. Hong, "Detection of maximal balance clique using three-way concept lattice," Journal of Information Processing Systems, vol. 19, no. 2, pp. 189-202, 2023. https://doi.org/10.3745/JIPS.01.0094
- A. Beutel, J. Chen, T. Doshi, H. Qian, L. Wei, Y. Wu, et al., "Fairness in recommendation ranking through pairwise comparisons," in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage, AK, USA, pp. 2212-2220. https://doi.org/10.1145/3292500.3330745
- F. Hao, G. Min, Z. Pei, D. S. Park, and L. T. Yang, "K-clique community detection in social networks based on formal concept analysis," IEEE Systems Journal, vol. 11, no. 1, pp. 250-259, 2017. https://doi.org/10.1109/JSYST.2015.2433294
- Y. Yang, S. Peng, D. S. Park, and H. J. Lee, "Absolute-fair maximal balanced cliques detection in signed attributed social network," Proceedings of the Annual Spring Conference of KIPS, vol. 29, no. 1, pp. 9-11, 2022.
- R. L. Cross and A. Parker, The Hidden Power of Social Networks: Understanding How Work Really Gets Done in Organizations. Boston, MA: Harvard Business Press, 2004.
- C. R. Sunstein, "law of group polarization," University of Chicago Law School, John M. Olin Law & Economics Working Paper No.91, 1999. https://doi.org/10.2139/ssrn.199668
- F. Chen and D. Xu, "Comments and links: group political polarization in social networking sites: an explanation based on micro behaviors," Chinese Journal of Sociology, vol. 37, no. 4, pp. 217-240, 2017.