Twitter Trends

Principal investigator(s):

Peter Dahlgren - University of Gothenburg, JMG

Abstract:

Collection of all trends on Twitter from three geographical positions (Sweden, Gothenburg, and Stockholm). Collected automatically every hour, at all hours.

Topic classification:

MEDIA, COMMUNICATION AND LANGUAGE, Social Sciences

Homepage:

https://github.com/peterdalle/swedishtwitter

Principal organisation:

University of Gothenburg

Availability status:

3a - Data are not available at SND. Can be downloaded or ordered from an external website

Identifiers:

SND-ID:

Principal investigator(s):

Peter Dahlgren - University of Gothenburg, JMG

Principal organisation:

Producer:

Abstract:

Collection of all trends on Twitter from three geographical positions (Sweden, Gothenburg, and Stockholm). Collected automatically every hour, at all hours.

Topic classification:

MEDIA, COMMUNICATION AND LANGUAGE, Social Sciences

Time period(s) investigated:

2014-12-18 — ongoing

Collection events:

2014-12-18 (Aggregation)

Geographic location:

Sweden

Unit of analysis:

Time Method/Study design:

Sampling procedure:

Total universe/Complete enumeration
Collection of all trends on Twitter from three geographical positions (Sweden, Gothenburg, and Stockholm). Collected automatically every hour, at all hours.

Availability status:

3a - Data are not available at SND. Can be downloaded or ordered from an external website

Homepage:

https://github.com/peterdalle/swedishtwitter

Download metadata:

Twitter Trends

Description:

Collection of all trends on Twitter from three geographical areas (Sweden, Gothenburg, and Stockholm). These trends are aggregated by Twitter automatically and presented for all users in the specific geographical area. The trends are collected automatically every hour, at all hours. Custom software has been written for the task.

Kind of data:

Time period(s) investigated:

2014-12-18 — ongoing

Variables:

4