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Online popularity and topical interests through the lens of instagram

Authors:

Emilio Ferrara,

Roberto Interdonato,

Andrea TagarelliAuthors Info & Claims

HT '14: Proceedings of the 25th ACM conference on Hypertext and social media

Pages 24 - 34

https://doi.org/10.1145/2631775.2631808

Published: 01 September 2014 Publication History

Abstract

Online socio-technical systems can be studied as proxy of the real world to investigate human behavior and social interactions at scale. Here we focus on Instagram, a media-sharing online platform whose popularity has been rising up to gathering hundred millions users. Instagram exhibits a mixture of features including social structure, social tagging and media sharing. The network of social interactions among users models various dynamics including follower/followee relations and users' communication by means of posts/comments. Users can upload and tag media such as photos and pictures, and they can "like" and comment each piece of information on the platform. In this work we investigate three major aspects on our Instagram dataset: (i) the structural characteristics of its network of heterogeneous interactions, to unveil the emergence of self organization and topically-induced community structure; (ii) the dynamics of content production and consumption, to understand how global trends and popular users emerge; (iii) the behavior of users labeling media with tags, to determine how they devote their attention and to explore the variety of their topical interests.

Our analysis provides clues to understand human behavior dynamics on socio-technical systems, specifically users and content popularity, the mechanisms of users' interactions in online environments and how collective trends emerge from individuals' topical interests.

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Hu WChen WYuan WWang YCai SZhang YCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Dual-Stream Pre-Training Transformer to Enhance Multimodal Learning for Social Media PredictionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688998(11450-11456)Online publication date: 28-Oct-2024
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Wu BLiu PHuang QZeng ZWang JLiu BLuo JCheng WCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)SMP Challenge Summary: Social Media Prediction ChallengeProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688996(11442-11444)Online publication date: 28-Oct-2024
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Seaman AFranzidis ANelson M(2024)CONSIDERING INVASIVE ALIEN SPECIES AS A FOOD SOURCE: CURRENT MOTIVATIONS AND FUTURE IMPLICATIONS FOR CONTROLLING THROUGH CONSUMPTIONGeographical Review10.1080/00167428.2023.2299785(1-18)Online publication date: 16-Jan-2024
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Index Terms

Online popularity and topical interests through the lens of instagram
1. Information systems
  1. Information systems applications
    1. Data mining

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Published In

cover image ACM Conferences

HT '14: Proceedings of the 25th ACM conference on Hypertext and social media

September 2014

346 pages

ISBN:9781450329545

DOI:10.1145/2631775

General Chairs:
Leo Ferres
University of Concepción, Chile
,
Gustavo Rossi
University of La Plata, Argentina
,
Program Chairs:
Virgilio Almeida
Federal University of Minas Gerais, Brazil
,
Eelco Herder
L3S Research Center, Germany

Copyright © 2014 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 the author(s) 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: 01 September 2014

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HT '14: 25th ACM Conference on Hypertext and Social Media

September 1 - 4, 2014

Santiago, Chile

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HT '14 Paper Acceptance Rate 49 of 86 submissions, 57%;

Overall Acceptance Rate 378 of 1,158 submissions, 33%

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Cited By

Hu WChen WYuan WWang YCai SZhang YCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Dual-Stream Pre-Training Transformer to Enhance Multimodal Learning for Social Media PredictionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688998(11450-11456)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688998
Wu BLiu PHuang QZeng ZWang JLiu BLuo JCheng WCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)SMP Challenge Summary: Social Media Prediction ChallengeProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688996(11442-11444)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688996
Seaman AFranzidis ANelson M(2024)CONSIDERING INVASIVE ALIEN SPECIES AS A FOOD SOURCE: CURRENT MOTIVATIONS AND FUTURE IMPLICATIONS FOR CONTROLLING THROUGH CONSUMPTIONGeographical Review10.1080/00167428.2023.2299785(1-18)Online publication date: 16-Jan-2024
https://doi.org/10.1080/00167428.2023.2299785
Barnes KJuhász PNagy MMolontay R(2024)Topicality boosts popularity: a comparative analysis of NYT articles and Reddit memesSocial Network Analysis and Mining10.1007/s13278-024-01272-314:1Online publication date: 23-Jun-2024
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