Deepinf: Social influence prediction with deep learning

J Qiu, J Tang, H Ma, Y Dong, K Wang… - Proceedings of the 24th …, 2018 - dl.acm.org
Social and information networking activities such as on Facebook, Twitter, WeChat, and
Weibo have become an indispensable part of our everyday life, where we can easily access …

Causal inference-based root cause analysis for online service systems with intervention recognition

M Li, Z Li, K Yin, X Nie, W Zhang, K Sui… - Proceedings of the 28th …, 2022 - dl.acm.org
Fault diagnosis is critical in many domains, as faults may lead to safety threats or economic
losses. In the field of online service systems, operators rely on enormous monitoring data to …

Identification of influential users on Twitter: A novel weighted correlated influence measure for Covid-19

S Jain, A Sinha - Chaos, solitons & fractals, 2020 - Elsevier
In the era of advanced mobile technology, freedom of expression over social media has
become prevalent among online users. This generates a huge amount of communication …

Diffnet++: A neural influence and interest diffusion network for social recommendation

L Wu, J Li, P Sun, R Hong, Y Ge… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Social recommendation has emerged to leverage social connections among users for
predicting users' unknown preferences, which could alleviate the data sparsity issue in …

The dynamics of health behavior sentiments on a large online social network

M Salathé, DQ Vu, S Khandelwal, DR Hunter - EPJ Data Science, 2013 - Springer
Modifiable health behaviors, a leading cause of illness and death in many countries, are
often driven by individual beliefs and sentiments about health and disease. Individual …

Time-aware domain-based social influence prediction

B Abu-Salih, KY Chan, O Al-Kadi, M Al-Tawil… - Journal of Big Data, 2020 - Springer
Online social networks have established virtual platforms enabling people to express their
opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate …

CNN-RNN based intelligent recommendation for online medical pre-diagnosis support

X Zhou, Y Li, W Liang - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
The rapidly developed Health 2.0 technology has provided people with more opportunities
to conduct online medical consultation than ever before. Understanding contexts within …