Crafting Cultural Networks From Text with R and igraph

Here, we consider the insight of a number of social network analysts and sociologists of culture who have developed new theoretical insights and methodological techniques for uncovering cultural networks based on text.
Sarah Shugars and Sandra González-Bailón, in "Semantic and Cultural Networks" (forthcoming in The Sage Handbook of Social Network Analysis, 2nd ed.), bring new clarity to ideas of the duality of cultural expectations and social positions, developing the classic works of Kathleen Carley, Ronald Breiger, Scott Feld, and before them Georg Simmel. These thinkers within sociology recognize that the affiliation of cultural expectations with social positions tie social positions with one another and also create networks between elements of cultural (the values, beliefs, symbols, and expectations associated with social positions).
In the next phase of this video, we move from theoretical and abstract conceptualization to strategies concrete observation. This video, recorded for the social science program of the University of Maine at Augusta, demonstrates how to make these insights practical by taking a text and from it developing either a network list of cultural associations or an affiliation matrix of cultural forms with social positions. Using R (shown here with RStudio) and the R package igraph, we can write a few very short scripts to generate three varieties of cultural networks from those depictions of cultural structure.

[@卡门不会卡门]

hi, but how to make the words sentiment spreadsheet for making words network analysis

[@JamesCookUMA]

Hi! That can be done one of two ways. Automated, you could rely on dictionaries that quantify sentiment. Or, in a rich but subjective qualitative process, you could read and interpret text.

[@卡门不会卡门]

@@JamesCookUMA I see thanks! Which you did you take and how did you identify the words in different categories such as bisexual etc?

[@卡门不会卡门]

@@JamesCookUMA (also wondering whether it is possible to post a video that explains this process haha i am very curious

[@JamesCookUMA]

@@卡门不会卡门 for this example, the latter!