Community-Based Event Detection in Temporal Networks

التفاصيل البيبلوغرافية
العنوان: Community-Based Event Detection in Temporal Networks
المؤلفون: Yong-Yeol Ahn, Jorge Finke, Pablo Moriano
المصدر: Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports
بيانات النشر: Nature Publishing Group, 2019.
سنة النشر: 2019
مصطلحات موضوعية: 0301 basic medicine, Community based, Multidisciplinary, Computer science, Event (computing), lcsh:R, Community structure, lcsh:Medicine, Models, Theoretical, computer.software_genre, Telecommunications network, Article, Social Networking, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Humans, lcsh:Q, Data mining, Information cascade, lcsh:Science, computer, Social Media, 030217 neurology & neurosurgery, Algorithms
الوصف: We propose a method for detecting large events based on the structure of temporal communication networks. Our method is motivated by findings that viral information spreading has distinct diffusion patterns with respect to community structure. Namely, we hypothesize that global events trigger viral information cascades that easily cross community boundaries and can thus be detected by monitoring intra- and inter-community communications. By comparing the amount of communication within and across communities, we show that it is possible to detect events, even when they do not trigger a significantly larger communication volume. We demonstrate the effectiveness of our method using two examples—the email communication network of Enron and the Twitter communication network during the Boston Marathon bombing.
اللغة: English
تدمد: 2045-2322
DOI: 10.1038/s41598-019-40137-0
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac043e57c08b760cfd87839ee39d4752
http://link.springer.com/article/10.1038/s41598-019-40137-0
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....ac043e57c08b760cfd87839ee39d4752
قاعدة البيانات: OpenAIRE
الوصف
تدمد:20452322
DOI:10.1038/s41598-019-40137-0