In this paper, we concentrate on capturing dynamic information of social users and present a deep dynamic user mapping model to identify the accounts across ...

Abstract—Nowadays, it is common that a netizen creates multiple accounts across social platforms. Mapping accounts across platforms could facilitate various ...

Mapping users across social networks devotes to identify the accounts belong to the same user in different platforms. From a security point of view, mapping ...

Jul 1, 2019 · The proposed model captures dynamic latent features from three aspects including posting pattern, writing pattern, and emotional fluctuation. We ...

In this paper, we propose a Community-aware Dynamic Network Embedding method (short for CDNE) which considers the dynamics of macroscopic community structures.

Apr 27, 2020 · We propose a neural network framework to predict dynamic variations in weighted heterogeneous social networks.

In this survey, we conduct a comprehensive review of the current literature in network representation learning, utilizing neural network models.

Sep 28, 2023 · This study finds that these dynamics can reveal more apparent patterns better suited to lining up the social web of things (SWoT).

To make a good prediction, the model tends to capture the common patterns of all users, which is not optimal for modeling and predicting diverse user engagement ...

Our study sheds light on the impacts of social-network algorithms in opinion dynamics and unveils avenues to steer polarization in online social networks.