Social Networks

Objective social media exhibit rich yet distinct temporal dynamics which cover a wide range of different scales. We are able to identify the compositional structures that can accurately characterize the complex social dynamics from these two social media. We further show that identifying these patterns can enable new applications such as anomaly detection and improved social dynamics forecasting. We aim to uncover new insights on understanding and engineering social media dynamics and their consequences on offline behaviors.

social networks

Selected Publications

7 entries « ‹ 2 of 2 › »

Peng, Huan-Kai; Marculescu, Radu

Multi-scale compositionality: identifying the compositional structures of social dynamics using deep learning Journal Article

In: PloS one, vol. 10, no. 4, pp. e0118309, 2015.

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7 entries « ‹ 2 of 2 › »