[1] 李栋, 徐志明, 李生, 等. 在线社会网络中信息扩散[J]. 计算机学报, 2014, 37(1): 189206.
LI D, XU Z M, LI S, et al. A survey on information diffusion in online social networks[J]. Chinese Journal of Computers, 2014, 37(1): 189206.
[2] 许小可, 胡海波, 张伦, 等. 社交网络上的计算传播学[M]. 北京: 高等教育出版社, 2015.
[3] 刘红丽, 黄雅丽, 罗春海, 等. 基于用户行为的微博网络信息扩散模型[J]. 物理学报, 2016, 65(15): 158901.
LIU H L, HUANG Y L, LUO C H, et al. Modeling information diffusion on microblog networks based on users' behaviors[J]. Acta Physica Sinica, 2016, 65(15): 158901.
[4] ZHANG Z K, LIU C, ZHAN X X, et al. Dynamics of information diffusion and its applications on complex networks[J]. Physics Reports, 2016, 651: 134.
[5] 李沧海, 许益贴, 罗春海, 等. 微博信息扩散的空间分析[J]. 复杂系统与复杂性科学, 2017, 14(3): 7584.
LI C H, XU Y T, LUO C H, et al. Spatial analysis of microblog information diffusion[J]. Complex Systems and Complexity Science, 2017, 14(3): 7584.
[6] 张凌, 罗曼曼, 朱礼军. 基于社交网络的信息扩散分析研究[J]. 数据分析与知识发现, 2018, 2(2): 4657.
ZHANG L, LUO M M, ZHU L J. Analyzing information dissemination on social networks[J]. Data Analysis and Knowledge Discovery, 2018, 2(2): 4657.
[7] WANG X C, LAN Y H, XIAO J H. Anomalous structure and dynamics in news diffusion among heterogeneous individuals[J]. Nature Human Bhaviour, 2019, 3(7): 709718.
[8] ZHOU B, PEI S, MUCHNIK L, et al. Realistic modelling of information spread using peer-to-peer diffusion patterns[J]. Nature Human Behaviour, 2020, 4(11): 110.
[9] XIE J R, MENG F H, SUN J C, et al. Detecting and modelling real percolation and phase transitions of information on social media[J]. Nature Human Behaviour, 2021, 5: 11611168.
[10] SEGAULT A. Crossplatform references on social media: methodological challenges and research avenues[C]//Proceedings of the 2nd International Conference on Web Studies. New York: ACM, 2018: 5255.
[11] 饶元, 吴连伟, 张君毅. 跨媒介舆情网络环境下信息传播机制研究与进展[J]. 中国科学: 信息科学, 2017, 47(12): 16231645.
RAO Y, WU L W, ZHANG J Y. A survey of information propaganda mechanism under the cross-medium[J]. Scientia Sinica Informationis, 2017, 47(12): 16231645.
[12] WEBSTER J G, KSIAZEK T B. The dynamics of audience fragmentation: public attention in an age of digital media[J]. Journal of Communication, 2012, 62(1): 3956.
[13] NEUBAUM G, KRAÄMER N C. Opinion climates in social media: blending mass and interpersonal communication[J]. Human Communication Research, 2017, 43(4): 464476.
[14] GUGGENHEIM L, JANG S M, BAE S Y, et al. The dynamics of issue frame competition in traditional and social media[J]. The ANNALS of the American Academy of Political and Social Science, 2015, 659(1): 207224.
[15] SHUAI X, LIU X, XIA T, et al. Comparing the pulses of categorical hot events in Twitter and Weibo[C]//Proceedings of the 25th ACM Conference on Hypertext and Social Media. New York: ACM, 2014: 126135.
[16] CHA M, PEÉREZ J A N, HADDADI H. Flash floods and ripples: the spread of media content through the blogosphere[C]//Proceedings of the 3rd International AAAI Conference on Weblogs and Social Media. Palo Alto, California: AAAI, 2009.
[17] HEIMBACH I, SCHILLER B, STRUFE T, et al. Content virality on online social networks: empirical evidence from Twitter, Facebook, and Google+ on German news websites[C]//Proceedings of the 26th ACM Conference on Hypertext & Social Media. New York: ACM, 2015: 3947.
[18] MYERS S A, ZHU C, LESKOVEC J. Information diffusion and external influence in networks[C]//Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2012: 3341.
[19] LESKOVEC J, BACKSTROM L, KLEINBERG J. Meme-tracking and the dynamics of the news cycle[C]//Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2009: 497506.
[20] RODRIGUEZ M G, LESKOVEC J, KRAUSE A. Inferring networks of diffusion and influence[C]//Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2010: 10191028.
[21] RODRIGUEZ M G, LESKOVEC J, BALDUZZI D, et al. Uncovering the structure and temporal dynamics of information propagation[J]. Network Science, 2014, 2(1): 2665.
[22] KIM M, NEWTH D, CHRISTEN P. Modeling dynamics of diffusion across heterogeneous social networks: news diffusion in social media[J]. Entropy, 2013, 15(10): 42154242.
[23] KIM M, NEWTH D, CHRISTEN P. Macro-level information transfer in social media: reflections of crowd phenomena[J]. Neurocomputing, 2016, 172: 8499.
[24] JULIA C, NICOLAS H, MARIE-LUCE V. The production of information in an online world[J]. The Review of Economic Studies, 2020, 87: 21262164.
[25] JOHNSON N F, LEAHY R, RESTREPO N J, et al. Hidden resilience and adaptive dynamics of the global online hate ecology[J]. Nature, 2019, 573(7773): 261265.
[26] VELAÁSQUEZ N, LEAHY R, RESTREPO N J, et al. Hate multiverse spreads malicious COVID-19 content online beyond individual platform control[EB/OL]. [20200810]. https://arxiv.org/abs/2004.00673.
[27] IRIBARREN J L, MORO E. Affinity paths and information diffusion in social networks[J]. Social Networks, 2011, 33: 134142.
[28] GOEL S, ANDERSON A, HOFMAN J, et al. The structural virality of online diffusion[J]. Management Science, 2016, 62(1): 180196.
[29] MARTIN T, HOFMAN J M, SHARMA A, et al. Exploring limits to prediction in complex social systems[C]//Proceedings of the 25th International Conference on World Wide Web. New York: ACM, 2016: 683694.