4 papers
Identifying Stable Influencers: Distinguishing Stable and Temporal Influencers Using Long-Term Twitter Data
Harutaka Yamada, Sho Tsugawa, Mitsuo Yoshida
For effective social media marketing, identifying stable influencers-those who sustain their influence over an extended period-is more valuable than focusing on users who are influ…
Contrastive Cascade Graph Learning for Classifying Real and Synthetic Information Diffusion Patterns
Naoki Shibao, Sho Tsugawa
A wide variety of information is disseminated through social media, and content that spreads at scale can have tangible effects on the real world. To curb the spread of harmful con…
Exploring Unknown Social Networks for Discovering Hidden Nodes
Sho Tsugawa, Hiroyuki Ohsaki
In this paper, we address the challenge of discovering hidden nodes in unknown social networks, formulating three types of hidden-node discovery problems, namely, Sybil-node discov…
Do Large Language Models Advocate for Inferentialism?
Yuzuki Arai, Sho Tsugawa
The emergence of large language models (LLMs) such as ChatGPT and Claude presents new challenges for philosophy of language, particularly regarding the nature of linguistic meaning…