@inproceedings{f146206f0d8f4fe0bbc180628342d636,
title = "Social Structure Construction from the Forums Using Interaction Coherence",
abstract = "Social network analysis is one of the important tasks for cybersecurity field to identify some potentially important members in the hackers{\textquoteright} forums and communities. To create the social network of the forums and communities, we need to understand the social structure of them. Once the metadata from each forum is collected, the social structure is constructed based on the users{\textquoteright} interactions such as who replies to whose post and when the response is posted. However, most of the hackers{\textquoteright} forums are unstructured, and there is no way to find the interaction between the users. We introduce the Next Paragraph Prediction method that returns true if a response is a direct response of the previous post. This method helps to create the social structure from an unstructured forum. We evaluated our method with 10 different topics{\textquoteright} threads about the cybersecurity related field, and the method shows above accuracy on average with the largest training dataset.",
keywords = "BERT, Cybersecurity, Nest paragraph prediction, Social structure",
author = "Kazuaki Kashihara and Jana Shakarian and Chitta Baral",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; Future Technologies Conference, FTC 2020 ; Conference date: 05-11-2020 Through 06-11-2020",
year = "2021",
doi = "10.1007/978-3-030-63092-8_55",
language = "English (US)",
isbn = "9783030630911",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "830--843",
editor = "Kohei Arai and Supriya Kapoor and Rahul Bhatia",
booktitle = "Proceedings of the Future Technologies Conference, FTC 2020, Volume 3",
address = "Germany",
}