Complementary to the fancy applications of social networks, influence analysis is an
indispensable technique supporting these practical applications. In recent years, this …

Social networks are currently gaining increasing impact in the light of the ongoing growth of
web-based services like facebook. com. One major challenge for the economically …

Large language models~(LLM) like ChatGPT have become indispensable to artificial
general intelligence~(AGI), demonstrating excellent performance in various natural …

Recognition of vital nodes in complex networks retains great importance in the improvement
of network's robustness and vulnerability. Consistent research proposed various …

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

Many brands utilize social media to communicate with consumers, but are they taking
advantage of these media's potential for co-creation? We explore this in the corporate social …

Vital node identification is the problem of finding nodes of highest importance in complex
networks. This problem has crucial applications in various contexts such as viral marketing …

Abstract Content-based filtering (CBF), one of the most successful recommendation
techniques, is based on correlations between contents. CBF uses item information …

Network embedding aims to preserve vertex similarity in an embedding space. Existing
approaches usually define the similarity by direct links or common neighborhoods between …

Abstract Since 2015, the United Nations has urged higher education institutions (HEIs) to
adopt an interdisciplinary approach towards the Sustainable Development Goals (SDGs). In …