Creating Extended-Form Eventgraphs from Social Media Using Publicly Available Software Tools

Abstract

This chapter explores the feasibility of exploring surprise and unfolding events through the extraction of strategic data from social media platforms and the Web and Internet to form extended-form eventgraphs. “Extended-form eventgraphs” are conceptualized as those involving multivariate descriptors of events: participants, their respective roles, their interrelationships, their messaging, the timeline, related locations, and other event features and dynamics. What are the current extant methods and tools, then, and how are they applied in sequence, and what is ultimately knowable to sketch out an eventgraph based on social media channels? What sorts of real-world human events, which may not be directly “social” or pre-planned, are observable in online spaces? This chapter offers an initial proof-of-concept of a non-scalable manual-based eventgraphing process with two real-world examples: one of a mainstream tracked event and one of a more silent event. Finally, it offers a simple sense of a possible way forward which may be used in whole or in part. The challenge here involves using publicly available software tools for this information capture (versus self-created programs).

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 0 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.