Sociocultural trend signatures in minimal persistence and past novelty

paper, specified "long paper"
  1. 1. Kristoffer Nielbo

    Center for Humanities Computing Aarhus - Aarhus University, DATALAB - Aarhus University

  2. 2. Peter Bjerregaard Vahlstrup

    Center for Humanities Computing Aarhus - Aarhus University, DATALAB - Aarhus University

  3. 3. Jianbo Gao

    Faculty of Geographical Science - Beijing Normal University, Institute of Automation - Chinese Academy of Sciences

  4. 4. Anja Bechmann

    DATALAB - Aarhus University

Work text
This plain text was ingested for the purpose of full-text search, not to preserve original formatting or readability. For the most complete copy, refer to the original conference program.

Sociocultural trends from social media platforms such as Twitter or Instagram have become an important part of knowledge discovery. The `trend' construct is however ambiguous and its estimation from unstructured sociocultural data complicated by several methodological issues. This paper presents an approach to trend estimation that combines (`intersects') domain knowledge of social media with advances in information theory and dynamical systems. In particular, we show how *trend reservoirs* (i.e., signals that display trend potential) can be identified by their relationship between novel and resonant behavior, and their minimal persistence.This approach contrasts with trend estimation that relies on linear or polynomial techniques to study point-like novelty behavior in social media, and it completes approaches that rely on smooth functions of time.

If this content appears in violation of your intellectual property rights, or you see errors or omissions, please reach out to Scott B. Weingart to discuss removing or amending the materials.

Conference Info

In review

ADHO - 2020
"carrefours / intersections"

Hosted at Carleton University, Université d'Ottawa (University of Ottawa)

Ottawa, Ontario, Canada

July 20, 2020 - July 25, 2020

475 works by 1078 authors indexed

Conference cancelled due to coronavirus. Online conference held at Data for this conference were initially prepared and cleaned by May Ning.

Conference website:


Series: ADHO (15)

Organizers: ADHO