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Yaotian Zhang, Mingming Feng, Ke-ke Shang, Yijun Ran, Cheng-Jun Wang * (2022) Peeking strategy for Online News Diffusion Prediction via Machine Learning. Accepted by Physica A. In Press.

Although popular users are relatively more influential on social media, there may exist a popularity fallacy in terms of their civic …

Social influence plays a crucial role in determining the size of information diffusion. Drawing on threshold models, we reformulate the …

Using the word embedding techniques, we reveal the constructed emotional dependency of female characters on male characters in stories. …

Based on collaborative information filtering and information aggregation services, the social news website carries out a collective …

With the widespread use of mobile computing devices in contemporary society, our trajectories in the physical space and virtual world …

We suggest that the tree-like, stable structure of clickstream networks reveals the time-sensitive preference of users in online …

The parent–child relationship normally experiences a significant change during the transition from adolescence to adulthood. However, …

Despite the burgeoning research on social entrepreneurship (SE), SE strategies remain poorly understood. Drawing on extant research on …

We use clicks as a proxy of collective attention and construct networks to study the temporal dynamics of attention. In particular we …