Modeling interest-driven data dissemination in online social networks

Turnitin 降AI改写 早检测系统 早降重系统 Turnitin-UK版 万方检测-期刊版 维普编辑部版 Grammarly检测 Paperpass检测 checkpass检测 PaperYY检测

User behavior prediction of social hotspots based on multimessage interaction and neural network

Y **ao, J Li, Y Zhu, Q Li - IEEE Transactions on Computational …, 2020 - ieeexplore.ieee.org
In network public-opinion analysis, the diversity of messages under social hot topics plays
an important role in user participation behavior. Considering the interactions among multiple …
Зберегти Послатися Цитовано в 20 джерелах Пов’язані статті
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Emergence of Metcalfe's Law: Mechanism and Model

C Wang, Y Wang, C Jiang - arxiv preprint arxiv:2312.11110, 2023 - arxiv.org
Metcalfe's Law captures the relationship between the value of a network and its scale,
asserting that a network's value is directly proportional to the square of its size. Over the past …
Зберегти Послатися Пов’язані статті Кількість версій: 2 Показати у форматі HTML

Transport complexity of data dissemination in large-scale online social networks

C Wang, H Zhu, C Wang, Q Zhao, B Zhang - Proceedings of the ACM …, 2019 - dl.acm.org
In this paper, we aim to measure the transport difficulty of data dissemination in online social
networks (OSNs). We focus on a usual type of interest-driven social sessions in OSNs …
Зберегти Послатися Цитовано в 1 джерелах Пов’язані статті