Two temporal networks, Sampson’s affect and Newcomb’s fraternity, were both collected for qualitative social network analysis. Sampson’s affect31 was collected via 12 months of fieldwork at an American monastery, where interactions between 18 monks were recorded. The author also created a questionnaire asking each monk to list “3 brothers who you like the most” in order to examine the friendship network among different subgroups of monks (young turks, outcasts, loyal oppositions, and waverers). Newcomb’s fraternity data was created from a 15-week survey of 17 fraternity brothers at the University of Michigan in 1956. The temporal nature of the dataset allowed for in-depth examination of the formation of acquaintanceship and social groups. For the Philosophers network data, master-pupil and acquaintanceship ties between philosophers from 800 B.C.E to 1935 C.E were gathered from Randall Collins’ seminal book32 based on close readings of historical texts. Among many findings, through an examination of the ties between different groups of philosophers, the author found that successful philosophers had the most ties to other philosophers, regardless of the signs of ties.
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.
Tips for asking effective questions
+ Description
Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.