@inproceedings{581d1953e1154f9588bb6720e6ef25b8,
title = "The Role of Positive Feedbacks in the Watts Model",
abstract = "Watts model is a classic paradigm for studying social contagion phenomena. In prior research, the decision threshold of an individual is independent of its neighbors{\textquoteright} states. In this paper, we extend the Watts model by introducing the positive-feedback mechanism. In our model, each adopter may give positive feedbacks with a certain probability. Correspondingly, the threshold of its susceptible neighbors will decrease by a small number. We perform extensive numerical simulations on synthetic networks and an empirical social network, and demonstrate that positive feedbacks could significantly facilitate the contagion process. Furthermore, we find that network heterogeneity plays a complex role in the cascading dynamics.",
keywords = "Complex networks, Feedback mechanism, Information cascade, Social contagion, Threshold model",
author = "Man Yang and Lina Zhang and Xincheng Shu and Zhongyuan Ruan",
year = "2022",
doi = "10.1007/978-981-19-7532-5_21",
language = "English",
isbn = "978-981-19-7531-8",
series = "Communications in Computer and Information Science",
publisher = "Springer Singapore",
pages = "332--340",
editor = "Xiaofeng Meng and Qi Xuan and Yang Yang and Yang Yue and Zi-Ke Zhang",
booktitle = "Big Data and Social Computing",
address = "Singapore",
note = "7th China National Conference on Big Data and Social Computing, BDSC 2022 ; Conference date: 11-08-2022 Through 13-08-2022",
}