과제정보
This research was supported by the National Research Foundation of Korea (No. NRF-2020RIA2B5B01002134) and the BK21 Fostering Outstanding Universities for Research (No. 5199990914048), European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 840922, the National Natural Science Foundation of China (No. 61702317), and the Fundamental Research Funds for the Central Universities (No. GK202103080).
참고문헌
- P. Vilakone, X. Xinchang, and D. S. Park, "Movie recommendation system based on users' personal information and movies rated using the method of k-clique and normalized discounted cumulative gain," Journal of Information Processing Systems, vol. 16, no. 2, pp. 494-507, 2020. https://doi.org/10.3745/JIPS.04.0169
- P. Vilakone, K. Xinchang, and D. S. Park, "Personalized movie recommendation system combining data mining with the k-clique method," Journal of Information Processing Systems, vol. 15, no. 5, pp. 1141-1155, 2019. https://doi.org/10.3745/JIPS.04.0138
- L. Yuan, L. Qin, X. Lin, L. Chang, and W. Zhang, "Diversified top-k clique search," The VLDB Journal, vol. 25, pp. 171-196, 2016. https://doi.org/10.1007/s00778-015-0408-z
- 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
- S. Kumar, F. Spezzano, V. S. Subrahmanian, and C. Faloutsos, "Edge weight prediction in weighted signed networks," in Proceedings of 2016 IEEE 16th International Conference on Data Mining (ICDM), Barcelona, Spain, 2016, pp. 221-230.
- J. Kunegis, A. Lommatzsch, and C. Bauckhage, "The Slashdot Zoo: mining a social network with negative edges," in Proceedings of the 18th International Conference on World Wide Web, Madrid, Spain, 2009, pp. 741-750.
- Z. Chen, L. Yuan, X. Lin, L. Qin, and J. Yang, "Efficient maximal balanced clique enumeration in signed networks," in Proceedings of the Web Conference 2020, Taipei, Taiwan, 2020, pp. 339-349.
- 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
- S. Ahmad, M. Z. Asghar, F. M. Alotaibi, and I. Awan, "Detection and classification of social media-based extremist affiliations using sentiment analysis techniques," Human-centric Computing and Information Sciences, vol. 9, article no. 24, 2019. https://doi.org/10.1186/s13673-019-0185-6
- Y. Yang, F. Hao, B. Pang, K. Qin, Z. Pei, and B. Li, "A quick algorithm on generating concept lattice for attribute-incremental streaming data," in Proceedings of 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; and IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Zhangjiajie, China, 2019, pp. 2811-2816.
- S. Yang, Y. Lu, X. Jia, and W. Li, "Constructing three-way concept lattice based on the composite of classical lattices," International Journal of Approximate Reasoning, vol. 121, pp. 174-186, 2020. https://doi.org/10.1016/j.ijar.2020.03.007
- F. Hao, Y. Yang, G. Min, and V. Loia, "Incremental construction of three-way concept lattice for knowledge discovery in social networks," Information Sciences, vol. 578, pp. 257-280, 2021. https://doi.org/10.1016/j.ins.2021.07.031
- G. A. Miller, WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press, 1998.
- R. L. Cross and A. Parker, The Hidden Power of Social Networks: Understanding How Work Really Gets Done in Organizations. Boston, MA: Harvard Business School Publishing, 2004.
- S. C. Freeman and L. C. Freeman, "The networkers network: a study of the impact of a new communications medium on sociometric structure," School of Social Sciences, University of California, CA, 1979.
- J. Leskovec, D. Huttenlocher, and J. Kleinberg, "Signed networks in social media," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Atlanta, GA, 2010, pp. 1361-1370.
- F. Hao, S. S. Yau, G. Min, and L. T. Yang, "Detecting k-balanced trusted cliques in signed social networks," IEEE Internet Computing, vol. 18, no. 2, pp. 24-31, 2014. https://doi.org/10.1109/MIC.2014.25