research-article

Trend makers and trend spotters in a mobile application

Authors:

Daniele Quercia,

Matteo Dell'Amico,

Pietro MichiardiAuthors Info & Claims

CSCW '13: Proceedings of the 2013 conference on Computer supported cooperative work

Pages 1365 - 1374

https://doi.org/10.1145/2441776.2441930

Published: 23 February 2013 Publication History

Abstract

Media marketers and researchers have shown great interest in what becomes a trend within social media sites. Their interests have focused on analyzing the items that become trends, and done so in the context of Youtube, Twitter, and Foursquare. Here we move away from these three platforms and consider a new mobile social-networking application with which users share pictures of "cool" things they find in the real-world. Besides, we shift focus from items to people. Specifically, we focus on those who generate trends (trend makers) and those who spread them (trend spotters). We analyze the complete dataset of user interactions, and characterize trend makers (spotters) by activity, geographical, and demographic features. We find that there are key characteristics that distinguish them from typical users. Also, we provide statistical models that accurately identify who is a trend maker (spotter). These contributions not only expand current studies on trends in social media but also promise to inform the design of recommender systems, and new products.

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Cited By

Lepe-Salazar FCortes-Alvarez T(2023)FORTAGONO: A Model for the Technological Mediation of the Teaching and Learning ProcessesIEEE Access10.1109/ACCESS.2023.325444111(64294-64323)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3254441
Rossetti GMilli LGiannotti FPedreschi D(2017)Forecasting success via early adoptions analysis: A data-driven studyPLOS ONE10.1371/journal.pone.018909612:12(e0189096)Online publication date: 7-Dec-2017
https://doi.org/10.1371/journal.pone.0189096
Quercia DChung CBroder AShim KSuel T(2014)Evolutionary habits on the webProceedings of the 23rd International Conference on World Wide Web10.1145/2567948.2580067(1241-1242)Online publication date: 7-Apr-2014
https://dl.acm.org/doi/10.1145/2567948.2580067

Index Terms

Trend makers and trend spotters in a mobile application
1. Information systems
  1. Information systems applications

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cover image ACM Conferences

CSCW '13: Proceedings of the 2013 conference on Computer supported cooperative work

February 2013

1594 pages

ISBN:9781450313315

DOI:10.1145/2441776

General Chairs:
Amy Bruckman
Georgia Institute of Technology, USA
,
Scott Counts
Microsoft Research, USA
,
Program Chairs:
Cliff Lampe
University of Michigan, USA
,
Loren Terveen
University of Minnesota, USA

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 23 February 2013

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CSCW '13: Computer Supported Cooperative Work

February 23 - 27, 2013

Texas, San Antonio, USA

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Cited By

Lepe-Salazar FCortes-Alvarez T(2023)FORTAGONO: A Model for the Technological Mediation of the Teaching and Learning ProcessesIEEE Access10.1109/ACCESS.2023.325444111(64294-64323)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3254441
Rossetti GMilli LGiannotti FPedreschi D(2017)Forecasting success via early adoptions analysis: A data-driven studyPLOS ONE10.1371/journal.pone.018909612:12(e0189096)Online publication date: 7-Dec-2017
https://doi.org/10.1371/journal.pone.0189096
Quercia DChung CBroder AShim KSuel T(2014)Evolutionary habits on the webProceedings of the 23rd International Conference on World Wide Web10.1145/2567948.2580067(1241-1242)Online publication date: 7-Apr-2014
https://dl.acm.org/doi/10.1145/2567948.2580067

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