From Topic Networks to Distributed Cognitive Maps: Zipfian Topic Universes in the Area of Volunteered Geographic Information

Figure 14

A procedural model of investigating LMNs and MTNs: generating, randomizing, and quantifying topic networks in 9 steps including Natural Language Processing (NLP) (1), topic classification using a classifier θ according to Definition 2 (2), topic network induction according to Definition 8 (3), network randomization according to Section 3.2.4 (4), network quantification (5), and network similarity analysis (6) both based on Section 3.2.6, machine learning of network classifiers (7) and classification analysis (8) both based on Section 3.2.7, and finally, time series analysis of topic networks (which will not be performed here) (9).