Searching for superspreaders of information in real-world social media

S Pei, L Muchnik, JS Andrade, Jr, Z Zheng… - Scientific reports, 2014 - nature.com
A number of predictors have been suggested to detect the most influential spreaders of
information in online social media across various domains such as Twitter or Facebook. In …

[Књига][B] Bursty human dynamics

M Karsai, HH Jo, K Kaski - 2018 - Springer
Bursty dynamics is a common temporal property of various complex systems in nature but it
also characterises the dynamics of human actions and interactions. At the …

Understanding metropolitan patterns of daily encounters

L Sun, KW Axhausen, DH Lee, X Huang - Proceedings of the National …, 2013 - pnas.org
Understanding of the mechanisms driving our daily face-to-face encounters is still limited;
the field lacks large-scale datasets describing both individual behaviors and their collective …

Modeling brand post popularity dynamics in online social networks

AH Zadeh, R Sharda - Decision Support Systems, 2014 - Elsevier
Today's social media platforms are excellent vehicles for businesses to build and foster
relationship with customers. Companies create official fan pages on social network websites …

Spontaneous symmetry breaking in interdependent networked game

Q **, L Wang, CY ** probabilistic models for temporal activity of users in
social networks (eg, posting and tweeting) by incorporating the social network influence as …

Marketing analysis of wineries using social collective behavior from users' temporal activity on Twitter

G Bello-Orgaz, RM Mesas, C Zarco, V Rodriguez… - Information Processing …, 2020 - Elsevier
Marketing professionals face challenges of increasing complexity to adapt classic marketing
strategies to the phenomenon of social networks. Companies are currently trying to take …