Online Program Home
  My Program

Abstract Details

Activity Number: 630 - Machine Learning Applications
Type: Contributed
Date/Time: Thursday, August 3, 2017 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Learning and Data Science
Abstract #323190 View Presentation
Title: Quantifying the Influence of Tourism on 19th Century American Landscape Painting Using Galois Lattices of Affiliation Networks
Author(s): Roger Bilisoly*
Companies: Central Connecticut State University
Keywords: Social network analysis ; Affiliation matrices ; Galois lattices ; Art history ; Hudson River School
Abstract:

Influenced by Romanticism and European theories of the picturesque and sublime, the Hudson River School of American landscape painters flourished from roughly 1825 to 1875. Although some of the scenes depicted were allegorical or imagined, many were based on popular destinations such as Niagara Falls. Also during this period, America's transportation infrastructure grew tremendously, which in turn grew domestic tourism, which influenced painters. For example, Thomas Moran was hired by the Santa Fe railroad to paint scenic wonders such as the Grand Canyon for use in advertising western vacations by train. This talk compares (1) the titles of works by Hudson River school artists with (2) the locations featured in the first American travel guides published in the 1820s. An affiliation network is created by connecting a painter with a location exactly when the latter is mentioned in the former's title. This network is then represented by a Galois lattice, a tool from social network analysis, the structure of which gives information about both the artists and locations as well as how these interact. For example, a ranking of the destinations by their influence on the painters is done.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2017 program

 
 
Copyright © American Statistical Association