In this article, we explore the micro-foundations of elite politics by focusing on changes in network structures that emerge from informal conversations. Empirically, we offer a novel “situational conflict” explanation to account for the puzzle of why reformist leaders were periodically ousted during China’s reform era (1977–1992), emphasizing the unexpected power collision that catalyzed the violent crackdown on the Tiananmen movement in 1989. To do so, we employ network analysis and narrative to utilize an original dataset of elite conversations and (...) primary sources that have only recently been made available. We find that ideological cleavage and manipulative brokerage produced each conflict to varying degrees but were contingent on the relational structure arising from elite conversational interactions. Furthermore, the actual unfolding of those conflicts often resulted from key actors’ discrepant understandings of the changing relationships via ongoing interactions at vital moments, such as during the Tiananmen movement. Integrating micro-sociological theories and network analysis, our work has methodological and theoretical implications for unpacking the black box of elite politics and its role in macro-historical change. (shrink)

Apoptosis proteins have a central role in the development and homeostasis of an organism. These proteins are very important for understanding the mechanism of programmed cell death, and their function is related to their types. According to the classification scheme by Zhou and Doctor (2003), the apoptosis proteins are categorized into the following four types: (1) cytoplasmic protein; (2) plasma membrane-bound protein; (3) mitochondrial inner and outer proteins; (4) other proteins. A powerful learning machine, the Support Vector Machine, is applied (...) for predicting the type of a given apoptosis protein by incorporating the sqrt-amino acid composition effect. High success rates were obtained by the re-substitute test (98/98 = 100 %) and the jackknife test (89/98 = 90.8%). (shrink)

In this work we report a simple way to measure the similarity between two nucleotide sequences by using graph theory and information theory. This method reported allows for theoretical comparisons of naturally occurring nucleotide sequences.