research-article

Assessing the impact of the social network on marking photos as favorites in flickr

Authors:

Luiz Oliveira Alves,

Matheus Maciel,

Lesandro Ponciano,

Andrey BritoAuthors Info & Claims

WebMedia '12: Proceedings of the 18th Brazilian symposium on Multimedia and the web

Pages 79 - 82

https://doi.org/10.1145/2382636.2382655

Published: 15 October 2012 Publication History

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Abstract

Understanding user behavior in user generated-contend systems (UGCs) is a fundamental building block for maximizing usefulness of these systems. For example, the importance of users' connections and the degree of iteration is needed in order to build meaningful recommendation systems. In this paper, we evaluate the impact of users' network on marking photos as favorites in Flickr considering various levels of distance between users in the network topology. We have observed that users' first-degree contacts are clearly the biggest contributors to the evaluation of hers/his photos (i.e., marking them as favorites). This result indicates that, in contrast to other UGCs such as Twitter and Digg, contact relations are a good indication of content interests in Flickr.

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Cited By

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Aloufi SZhu SEl Saddik A(2017)On the Prediction of Flickr Image Popularity by Analyzing Heterogeneous Social Sensory DataSensors10.3390/s1703063117:3(631)Online publication date: 19-Mar-2017
https://doi.org/10.3390/s17030631
Boateng FQuan Liu Y(2014)Web 2.0 applications' usage and trends in top US academic librariesLibrary Hi Tech10.1108/LHT-07-2013-009332:1(120-138)Online publication date: 11-Mar-2014
https://doi.org/10.1108/LHT-07-2013-0093

Index Terms

Assessing the impact of the social network on marking photos as favorites in flickr
1. Applied computing
  1. Law, social and behavioral sciences

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Information & Contributors

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Published In

WebMedia '12: Proceedings of the 18th Brazilian symposium on Multimedia and the web

October 2012

426 pages

ISBN:9781450317061

DOI:10.1145/2382636

General Chairs:
Graça Bressan
University of São Paulo, Brazil
,
Regina Melo Silveira
University of São Paulo, Brazil
,
Program Chairs:
Ethan V. Munson
University of Wisconsin-Milwaukee, USA
,
André Santanchà
State University of Campinas, Brazil
,
Maria da Graèa Campos Pimentel
University of São Paulo, Brazil

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2012

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WebMedia '12

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WebMedia '12: Brazilian Symposium on Multimedia and the Web

October 15 - 18, 2012

São Paulo/SP, Brazil

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Cited By

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Aloufi SZhu SEl Saddik A(2017)On the Prediction of Flickr Image Popularity by Analyzing Heterogeneous Social Sensory DataSensors10.3390/s1703063117:3(631)Online publication date: 19-Mar-2017
https://doi.org/10.3390/s17030631
Boateng FQuan Liu Y(2014)Web 2.0 applications' usage and trends in top US academic librariesLibrary Hi Tech10.1108/LHT-07-2013-009332:1(120-138)Online publication date: 11-Mar-2014
https://doi.org/10.1108/LHT-07-2013-0093

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Flickr tag recommendation based on collective knowledge

Mining Tags from Flickr User Comments Using a Hybrid Ranking Model

Extracting Representative Tags for Flickr Users