Lexical Link Analysis (LLA) is a form of text mining in which word meanings represented in lexical terms (e.g., word pairs) are treated as if they are in a community of a word network. LLA can provide automated awareness for analyzing text data and reveal previously unknown, data-driven themed connections. We applied LLA to develop authentic archetypes and conversely determine potential imposters of that same archetype. We use publically available social media data to develop a cyber professional as an example. This paper reports the development of the algorithm, the collection and labeling of data, as well as the results of analysis of the characteristics of three authentic cyber professionals using data collected from Facebook, LinkedIn and Twitter. This method can provide automated analyzing and understanding massive Big Data in open and social media data sources to discover new knowledge for a widening range of applications.
Zhao, Ying; MacKinnon, Douglas J.; Gallup, Shelley P.; and Billingsley, Joseph L.
"Leveraging Lexical Link Analysis (LLA) To Discover New Knowledge,"
Military Cyber Affairs: Vol. 2
, Article 3.
Available at: https://scholarcommons.usf.edu/mca/vol2/iss1/3