Emergence in Complex Social Systems:An Analysis of Structure and Action Co-evolution through Big Data
Through empirical case studies,this paper aims to explore how social computing can be used to study emergent phenomena in social systems.The case of China's venture capital(VC)industry demonstrates how positive feedback between VC investment behavior and industry network structure leads to the emergence of a"small-world network with an elite-clique".This explains how individual actions contribute to collective emergence.The case of a large technology company illustrates the evolution process of team innovation and the factors behind the emergence of a team's high innovative ability.Additionally,it demonstrates differences in factors influencing the innovation capabilities of internal subsystems before and after systemic transformation,shedding light on the impact of non-linear development on employee behavior.These cases highlight the feasibility of combining survey data with big data and employing various social computing methods in complex system research.
NETL
NSTL
万方数据
