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 « 1 of 2 »

Bot Detection in Reddit Political Discussion

Hurtado, Sofia; Ray, Poushali; Marculescu, Radu

Proceedings of the Fourth International Workshop on Social Sensing, pp. 30–35, 2019.

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Dimensionality reduction via community detection in small sample datasets

Bhardwaj, Kartikeya; Marculescu, Radu

Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 102–114, Springer, Cham 2018.

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Weighted betweenness preferential attachment: A new mechanism explaining social network formation and evolution

Topirceanu, Alexandru; Udrescu, Mihai; Marculescu, Radu

Scientific reports, 8 (1), pp. 1–14, 2018.

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From ideas to social signals: Spatiotemporal analysis of social media dynamics

Condessa, Filipe; Marculescu, Radu

Proceedings of the 2nd International Workshop on Social Sensing, pp. 29–34, 2017.

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Tolerance-based interaction: A new model targeting opinion formation and diffusion in social networks

Topirceanu, Alexandru; Udrescu, Mihai; Vladutiu, Mircea; Marculescu, Radu

PeerJ Computer Science, 2 , pp. e42, 2016.

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Data-Driven Engineering of Social Dynamics: Pattern Matching and Profit Maximization

Peng, Huan-Kai; Lee, Hao-Chih; Pan, Jia-Yu; Marculescu, Radu

PloS one, 11 (1), pp. e0146490, 2016.

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7 entries « 1 of 2 »