research-article

Predicting the Future Popularity of Images on Social Networks

Authors:

Khaled Almgren,

Minkyu kimAuthors Info & Claims

MISNC, SI, DS 2016: Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, Data Science 2016

Article No.: 15, Pages 1 - 6

https://doi.org/10.1145/2955129.2955154

Published: 15 August 2016 Publication History

Abstract

This paper addresses the problem of predicting future image popularity on social networks by considering the changes of image popularity over time. For this problem, we collect information about an image within an hour of upload and keep track of its popularity for one month to predict its future popularity (e.g., after a day, a week, a month). For the prediction of popularity, we employ three features: social context (i.e., user information), the image's semantics and the image's early popularity. We propose a novel approach to extract the semantic of images, based on well established natural language processing and clustering techniques. Using a Gaussian Naive Bayes classifier, we predict the future popularity of images using such social context, image semantics, and early popularity. The results show that the accuracy of the classifier reaches 90% on average in predicting future popularity; image semantics is the only feature that increases popularity predictions accuracy along the timeline.

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Cited By

Bhat AK TDevamane SK UC RC L(2024)Instagram Reach Analysis using Machine Learning Algorithms2024 International Conference on Computational Intelligence for Security, Communication and Sustainable Development (CISCSD)10.1109/CISCSD63381.2024.00031(88-92)Online publication date: 25-Apr-2024
https://doi.org/10.1109/CISCSD63381.2024.00031
Ebadi Jokandan SBayat PFarrokhbakht Foumani M(2022)Targeted Advertising in Social Media Platforms Using Hybrid Convolutional Learning Method besides Efficient Feature WeightsJournal of Electrical and Computer Engineering10.1155/2022/61596502022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/6159650
Abousaleh FCheng WYu NTsao Y(2021)Multimodal Deep Learning Framework for Image Popularity Prediction on Social MediaIEEE Transactions on Cognitive and Developmental Systems10.1109/TCDS.2020.303669013:3(679-692)Online publication date: Sep-2021
https://doi.org/10.1109/TCDS.2020.3036690
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cover image ACM Other conferences

MISNC, SI, DS 2016: Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, Data Science 2016

August 2016

371 pages

ISBN:9781450341295

DOI:10.1145/2955129

Copyright © 2016 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: 15 August 2016

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MISNC, SI, DS 2016

MISNC, SI, DS 2016: The 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016

August 15 - 17, 2016

NJ, Union, USA

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MISNC, SI, DS 2016 Paper Acceptance Rate 57 of 97 submissions, 59%;

Overall Acceptance Rate 57 of 97 submissions, 59%

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Cited By

Bhat AK TDevamane SK UC RC L(2024)Instagram Reach Analysis using Machine Learning Algorithms2024 International Conference on Computational Intelligence for Security, Communication and Sustainable Development (CISCSD)10.1109/CISCSD63381.2024.00031(88-92)Online publication date: 25-Apr-2024
https://doi.org/10.1109/CISCSD63381.2024.00031
Ebadi Jokandan SBayat PFarrokhbakht Foumani M(2022)Targeted Advertising in Social Media Platforms Using Hybrid Convolutional Learning Method besides Efficient Feature WeightsJournal of Electrical and Computer Engineering10.1155/2022/61596502022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/6159650
Abousaleh FCheng WYu NTsao Y(2021)Multimodal Deep Learning Framework for Image Popularity Prediction on Social MediaIEEE Transactions on Cognitive and Developmental Systems10.1109/TCDS.2020.303669013:3(679-692)Online publication date: Sep-2021
https://doi.org/10.1109/TCDS.2020.3036690
Gupta VJung KYoo S(2020)Exploring the Power of Multimodal Features for Predicting the Popularity of Social Media Image in a Tourist DestinationMultimodal Technologies and Interaction10.3390/mti40300644:3(64)Online publication date: 5-Sep-2020
https://doi.org/10.3390/mti4030064
Ortis AFarinella GBattiato S(2020)Survey on visual sentiment analysisIET Image Processing10.1049/iet-ipr.2019.127014:8(1440-1456)Online publication date: 14-May-2020
https://doi.org/10.1049/iet-ipr.2019.1270
Purba KAsirvatham DMurugesan R(2020)An analysis and prediction model of outsiders percentage as a new popularity metric on InstagramICT Express10.1016/j.icte.2020.07.001Online publication date: Jul-2020
https://doi.org/10.1016/j.icte.2020.07.001
Ding KMa KWang SAmsaleg LHuet BLarson MGravier GHung HNgo CTsang Ooi W(2019)Intrinsic Image Popularity AssessmentProceedings of the 27th ACM International Conference on Multimedia10.1145/3343031.3351007(1979-1987)Online publication date: 15-Oct-2019
https://dl.acm.org/doi/10.1145/3343031.3351007
Gayberi MOguducu SChbeir RManolopoulos YIlarri SPapadopoulos A(2019)Popularity Prediction of Posts in Social Networks Based on User, Post and Image FeaturesProceedings of the 11th International Conference on Management of Digital EcoSystems10.1145/3297662.3365812(9-15)Online publication date: 12-Nov-2019
https://dl.acm.org/doi/10.1145/3297662.3365812
Ortis AFarinella GBattiato S(2019)Predicting Social Image Popularity Dynamics at Time ZeroIEEE Access10.1109/ACCESS.2019.29538567(171691-171706)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2953856
Ortis AFarinella GBattiato S(2019)Prediction of Social Image Popularity DynamicsImage Analysis and Processing – ICIAP 201910.1007/978-3-030-30645-8_52(572-582)Online publication date: 2-Sep-2019
https://doi.org/10.1007/978-3-030-30645-8_52
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