activity
20162026
most citedTiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics

103 citations · 193 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SI2026

Inferring Temporal Dependencies from Social Time Series with the Cross-Correlogram

Bridget Smart, Renaud Lambiotte, Takaaki Aoki +1

Characterizing temporal interactions in social systems is challenging because social behavior can be bursty and non-stationary, violating the stationarity assumptions of many metho…

physics.soc-ph2022

Evolution of the public opinion on COVID-19 vaccination in Japan

Yuri Nakayama, Yuka Takedomi, Towa Suda +7

Vaccines are promising tools to control the spread of COVID-19. An effective vaccination campaign requires government policies and community engagement, sharing experiences for soc…

cs.SI2021

Modeling Collective Anticipation and Response on Wikipedia

Ryota Kobayashi, Patrick Gildersleve, Takeaki Uno +1

The dynamics of popularity in online media are driven by a combination of endogenous spreading mechanisms and response to exogenous shocks including news and events. However, littl…

cs.SI2021★ 9 cited

Estimating Community Feedback Effect on Topic Choice in Social Media with Predictive Modeling

David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber +1

Social media users post content on various topics. A defining feature of social media is that other users can provide feedback -- called community feedback -- to their content in t…

cs.SI2020★ 62 cited

Modeling the spread of fake news on Twitter

Taichi Murayama, Shoko Wakamiya, Eiji Aramaki +1

Fake news can have a significant negative impact on society because of the growing use of mobile devices and the worldwide increase in Internet access. It is therefore essential to…

cs.SI2016★ 103 cited

TiDeH: Time-Dependent Hawkes Process for Predicting Retweet Dynamics

Ryota Kobayashi, Renaud Lambiotte

Online social networking services allow their users to post content in the form of text, images or videos. The main mechanism driving content diffusion is the possibility for users…

physics.soc-ph2016★ 19 cited

Input-output relationship in social communications characterized by spike train analysis

Takaaki Aoki, Taro Takaguchi, Ryota Kobayashi +1

We study the dynamical properties of human communication through different channels, i.e., short messages, phone calls, and emails, adopting techniques from neuronal spike train an…