Identifying Influential Individuals in Complex Networks: An Overview | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=Eygh44qOCtE


Duration: 52:10
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For slides and more information on the paper, visit https://ai.science/e/identifying-influential-individuals-in-complex-networks--2020-11-05-faraz

Speaker: Faraz Zaidi; Host: Nabila Abraham

Motivation:

In this video Faraz gives a review on the latest techniques in identifying influential individuals in large social networks. The three papers covered are:

- Ruan, Y., Tang, J., Hu, Y., Wang, H., & Bai, L. (2020). Efficient Algorithm for the Identification of Node Significance in Complex Network. IEEE Access, 8, 28947-28955. link: https://ieeexplore.ieee.org/document/8985345
- Wandelt, S., Sun, X., Feng, D., Zanin, M., & Havlin, S. (2018). A comparative analysis of approaches to network-dismantling. Scientific reports, 8(1), 1-15. link: https://www.nature.com/articles/s41598-018-31902-8
- Pei, S., Morone, F., & Makse, H. A. (2018). Theories for influencer identification in complex networks. In Complex spreading phenomena in social systems (pp. 125-148). Spring link: https://arxiv.org/abs/1707.01594

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