Computer Science – Social and Information Networks
Scientific paper
2011-07-04
Computer Science
Social and Information Networks
Scientific paper
It becomes more difficult to explain the social information transfer phenomena using the classic models based merely on Shannon Information Theory (SIT) and Classic Probability Theory (CPT), because the transfer process in the social world is rich of semantic and highly contextualized. This paper aims to use twitter data to explore whether the traditional models can interpret information transfer in social networks, and whether quantum-like phenomena can be spotted in social networks. Our main contributions are: (1) SIT and CPT fail to interpret the information transfer occurring in Twitter; and (2) Quantum interference exists in Twitter, and (3) a mathematical model is proposed to elucidate the spotted quantum phenomena.
Busemeyer Jerome
Chen Shanshan
Ding Yanxia
Shuai Xin
Sun Yuyin
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