Having generated word frequencies distributed across semantic domains (e.g. saints and figures, community and identity terms, landscape and the built environment) we can zoom in to certain concepts, terms and keywords in search of deeper links and relations. We generated lists of collocates for certain terms in order to analyze them closer, in their immediate context, as they appear in the text. We applied stopword lists to exclude common English words (“of”, “the”, “and”) and highlight meaningful neighboring terms. The following visualizations show some of these terms as they tend to appear next to certain ‘neighbors’ or as part of repeating pairs or phrases.

SAINTS: “GEORGE”, “KHIDR” and “ELIAS”. Relation of key terms” (“George“, “Khidr“, “Elias“) to “neighbor” terms most frequently appearing in proximity (at least 5 times). Node size shows frequency. Uze controls to zoom in / zoom out and increase / decrease the number of nodes shown in the network. Read the “Saints we share: George, Khidr and Elias” micro-essay to learn more about the correlation of these saints.

‘STONE, WATER, TREE’: SANCTITY MARKERS
Relation of key terms “stone”, “water” and “tree” to “neighbors” that appear at least twice in proximity to the key term. Node size shows frequency.
Uze controls to zoom in / zoom out and increase / decrease the number of nodes shown in the network.. To learn more about landscape sanctity markers read: Venerated Landscapes:’Natural Sanctuaries’ and Sacred Space Markers in F.W. Hascluck’s ‘Christianity and Islam‘.

‘BEKTASHI’ AND ‘KIZILBASH’
Relation of key terms (‘Bektashi‘, ‘Kizilbash‘) to ‘neighbors’, most frequently appearing in proximity. Node size shows frequency. Uze controls to zoom in / zoom out and increase / decrease the number of nodes shown in the network. To learn more about tracing identity in “Christianity and Islam” read Visualizing Identity in Hasluck’s text.