论文标题
在Darknet论坛中跟踪话语的影响
Tracking Discourse Influence in Darknet Forums
论文作者
论文摘要
该技术报告记录了我们在解决2021年AMOC（网络犯罪事业的高级建模）Hackathon所规定的任务方面的努力。我们的主要贡献是对语义和时间特征的联合可视化，通过新颖性，瞬态和共振的各个方面深入了解了Darknet网络犯罪的所提供的数据，这些数据描述了信息可能对Darknet社区的整体话语产生的潜在影响。作为这次黑客马拉松的一部分，我们生产的所有代码和数据均可公开使用。
This technical report documents our efforts in addressing the tasks set forth by the 2021 AMoC (Advanced Modelling of Cyber Criminal Careers) Hackathon. Our main contribution is a joint visualisation of semantic and temporal features, generating insight into the supplied data on darknet cybercrime through the aspects of novelty, transience, and resonance, which describe the potential impact a message might have on the overall discourse in darknet communities. All code and data produced by us as part of this hackathon is publicly available.
