Narrative maps are produced from analysis of narbs, where the maps are made up of specific nodes and connectors. The nodes represent attitudes, concepts, behaviors and different issues that people are talking about in their narbs. For instance, a common node is “positive opinion” which could be made up of positively affected terms such as “like,” “love,” “good,” etc. Similarly, another node could be “immigration” referring to the issue. The map connects nodes together to indicate how strongly two nodes are related to each other. For instance, a dark line between two nodes would show a strong relationship between the nodes, suggesting people are talking about two things simultaneously, almost “in the same breath!”
Published in Chapter:
Managing and Visualizing Unstructured Big Data
Copyright: © 2018
|Pages: 12
DOI: 10.4018/978-1-5225-2255-3.ch035
Abstract
One of the most common terms that is used in a significant amount of popular and scholarly discussion is “Big Data.” As pointed out earlier, the term has a dubious history and different people claim ownership (see, e.g., Mitra, 2014). What remains true of the notion of Big Data is that it exists. With the increasing rate at which institutions and individuals are digitizing many different kind of information the amount of data can only go up in volume. Therefore, Big Data has become an object of analysis for a variety of groups, from academics to marketers, all of whom are interested in understanding how Big Data could provide highly granular information about people.