Information Stratification and Its Formation Mechanism:An Analysis Based on ERGM
From the perspective of complex networks,the operation of information stratification is transformed into a us-er information co-attention network.User information exposure data is collected through log analysis,and the exponential random graph model(ERGM)is used to analyze the formation mechanism of stratification.The study reveals that the densi-ty of user information co-attention network is relatively low,showing a trend towards stratification.User attributes(inclu-ding demographic characteristics and media usage preferences),existing social relationships,and self-organizing structures in the information co-attention network all influence information layering.Among them,the impact of self-organizing structures in the network far outweighs other factors.Node degree centrality and clustering coefficient positively affect information laye-ring,while intermediary centrality negatively affects it.The influence of user social relationship quantity and intensity on in-formation co-attention weakens due to self-organizing structures in the network,thus not affecting information stratification.Online social media usage does not promote information stratification either.Additionally,algorithmic recommendation plat-form preferences and algorithmic political bias do not lead to information stratification.
information stratificationinformation co-attention networkself-organized networkERGM
万方数据
维普
