Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Link prediction is a significant and challenging task in network science. The majority of
known methods are similarity-based, which assign similarity indices for node pairs and …

Social media and online navigation bring us enjoyable experiences in accessing
information, and simultaneously create information cocoons (ICs) in which we are …

Identifying influential nodes on directed networks is a challenging and widely studied task
that keeps drawing extensive attention from both academia and industry. The simultaneous …

The article discusses the nature of the impact of artificial intelligence on society from the
standpoint of religious figures of Islam. The main method was a questionnaire using the …

Link prediction is a fundamental challenge in network science. Among various methods,
local similarity indices are widely used for their high cost-performance. However, the …

Based on population dynamics models, the literature on cultural transmission has studied
the formation and diffusion of religious traits through evolutionary and bottom-up forces such …

The overwhelming amounts of data we generate in our daily routine and in social networks
has been crucial for the understanding of various social and economic factors. The use of …

The increasing availability of data sources and analysis tools borrowed from computer
science and physical science have sharply changed traditional methodologies of social …

社会计算(social computing) 的方法论以社会科学理论为导引, 并结合大数据与人工智能算法
解决社会问题. 本文从大量文献中提炼出融合大数据与社会科学理论的五种研究类型 …