The digital innovation accompanied by explicit economic incentives have fundamentally changed the process of innovation diffusion. As a representative of digital innovation, NFTs (Non-Fungible Tokens) potentially offer new revenue streams in the digital space. However, current researches mainly focus on transaction networks and community culture, leaving the interplay among diffusion dynamics, economic dynamics, and social constraints on Twitter. By collecting and analyzing NFTs-related tweet dataset, the motivations of retweeters, the information mechanisms behind emojis, and the networked-based diffusion dynamics is systematically investigated. Results indicate that Retweeting is fueled by Freemint and trading information, with the higher economic incentives as a major motivation and some potential organizational tendencies. The diffusion of NFTs is primarily driven by a “Ringed-layered” information mechanism involving individual promoters and speculators. The presentation of content contribute positively to the growth of the retweet network. This study contributes to the innovation diffusion theory with economic incentives embedded.

Computational communication delves into the analysis of digital data, social media interactions, and algorithms that shape communication processes, yet few studies focus on the framework and internal structure of the methodological framework related to adaptive topics. This study employs text mining techniques to analyze 9795 publications from international scientific citation databases, and outlines a classification framework to describe the methods used in empirical research. The framework highlights traditional quantitative methods and new computational methods. The former conduct statistical analysis on medium-sized and structured samples, while the latter provides microscopic outlooks with extensive data analysis. Experimental results show the thematic distribution, evolution phases, and subject boundaries of the method categories. This study expands the scope of social computing methodology and provides a wealth of empirical insights.