Styles in the fashion social network: An analysis on lookbook.nu

Yusan Lin; Heng Xu; Yilu Zhou; Wang Chien Lee

doi:10.1007/978-3-319-16268-3_43

Styles in the fashion social network: An analysis on lookbook.nu

Yusan Lin, Heng Xu, Yilu Zhou, Wang Chien Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

As birds of a feather flock together, so do people with similar interests and preferences befriend with each other. Numerous Social Network Analysis (SNA) researchers have investigated how individuals’ identification affects their behaviors, such as ethnicity, education, political opinions and even musical tastes. What about one’s fashion style? These days, online social networks provide rich resources for us to study these phenomena; however, no research has investigated people’s styles/tastes within a social network. In this paper, we analyze the largest fashion social network, Lookbook.nu. By applying SNA techniques, we answer whether people with similar styles tend to connect with each other on the online social networks and whether people form communities based on their styles. We believe this is the first work studying people’s fashion styles on an online social network empirically.

Original language	English (US)
Title of host publication	Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings
Editors	Kevin Xu, Nitin Agarwal, Nathaniel Osgood
Publisher	Springer Verlag
Pages	356-361
Number of pages	6
ISBN (Electronic)	9783319162676
DOIs	https://doi.org/10.1007/978-3-319-16268-3_43
State	Published - 2015
Event	8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015 - Washington, United States Duration: Mar 31 2015 → Apr 3 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9021
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015
Country/Territory	United States
City	Washington
Period	3/31/15 → 4/3/15

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-16268-3_43

Cite this

Lin, Y., Xu, H., Zhou, Y., & Lee, W. C. (2015). Styles in the fashion social network: An analysis on lookbook.nu. In K. Xu, N. Agarwal, & N. Osgood (Eds.), Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings (pp. 356-361). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9021). Springer Verlag. https://doi.org/10.1007/978-3-319-16268-3_43

Lin, Yusan ; Xu, Heng ; Zhou, Yilu et al. / Styles in the fashion social network : An analysis on lookbook.nu. Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. editor / Kevin Xu ; Nitin Agarwal ; Nathaniel Osgood. Springer Verlag, 2015. pp. 356-361 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d2ed525eb1b04f18aadfb2273675057a,

title = "Styles in the fashion social network: An analysis on lookbook.nu",

abstract = "As birds of a feather flock together, so do people with similar interests and preferences befriend with each other. Numerous Social Network Analysis (SNA) researchers have investigated how individuals{\textquoteright} identification affects their behaviors, such as ethnicity, education, political opinions and even musical tastes. What about one{\textquoteright}s fashion style? These days, online social networks provide rich resources for us to study these phenomena; however, no research has investigated people{\textquoteright}s styles/tastes within a social network. In this paper, we analyze the largest fashion social network, Lookbook.nu. By applying SNA techniques, we answer whether people with similar styles tend to connect with each other on the online social networks and whether people form communities based on their styles. We believe this is the first work studying people{\textquoteright}s fashion styles on an online social network empirically.",

author = "Yusan Lin and Heng Xu and Yilu Zhou and Lee, {Wang Chien}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015 ; Conference date: 31-03-2015 Through 03-04-2015",

year = "2015",

doi = "10.1007/978-3-319-16268-3_43",

language = "English (US)",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "356--361",

editor = "Kevin Xu and Nitin Agarwal and Nathaniel Osgood",

booktitle = "Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings",

address = "Germany",

}

Lin, Y, Xu, H, Zhou, Y & Lee, WC 2015, Styles in the fashion social network: An analysis on lookbook.nu. in K Xu, N Agarwal & N Osgood (eds), Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9021, Springer Verlag, pp. 356-361, 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015, Washington, United States, 3/31/15. https://doi.org/10.1007/978-3-319-16268-3_43

Styles in the fashion social network: An analysis on lookbook.nu. / Lin, Yusan; Xu, Heng; Zhou, Yilu et al.
Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. ed. / Kevin Xu; Nitin Agarwal; Nathaniel Osgood. Springer Verlag, 2015. p. 356-361 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Styles in the fashion social network

T2 - 8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015

AU - Lin, Yusan

AU - Xu, Heng

AU - Zhou, Yilu

AU - Lee, Wang Chien

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - As birds of a feather flock together, so do people with similar interests and preferences befriend with each other. Numerous Social Network Analysis (SNA) researchers have investigated how individuals’ identification affects their behaviors, such as ethnicity, education, political opinions and even musical tastes. What about one’s fashion style? These days, online social networks provide rich resources for us to study these phenomena; however, no research has investigated people’s styles/tastes within a social network. In this paper, we analyze the largest fashion social network, Lookbook.nu. By applying SNA techniques, we answer whether people with similar styles tend to connect with each other on the online social networks and whether people form communities based on their styles. We believe this is the first work studying people’s fashion styles on an online social network empirically.

AB - As birds of a feather flock together, so do people with similar interests and preferences befriend with each other. Numerous Social Network Analysis (SNA) researchers have investigated how individuals’ identification affects their behaviors, such as ethnicity, education, political opinions and even musical tastes. What about one’s fashion style? These days, online social networks provide rich resources for us to study these phenomena; however, no research has investigated people’s styles/tastes within a social network. In this paper, we analyze the largest fashion social network, Lookbook.nu. By applying SNA techniques, we answer whether people with similar styles tend to connect with each other on the online social networks and whether people form communities based on their styles. We believe this is the first work studying people’s fashion styles on an online social network empirically.

UR - http://www.scopus.com/inward/record.url?scp=84925298871&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84925298871&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-16268-3_43

DO - 10.1007/978-3-319-16268-3_43

M3 - Conference contribution

AN - SCOPUS:84925298871

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 356

EP - 361

BT - Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings

A2 - Xu, Kevin

A2 - Agarwal, Nitin

A2 - Osgood, Nathaniel

PB - Springer Verlag

Y2 - 31 March 2015 through 3 April 2015

ER -

Lin Y, Xu H, Zhou Y, Lee WC. Styles in the fashion social network: An analysis on lookbook.nu. In Xu K, Agarwal N, Osgood N, editors, Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings. Springer Verlag. 2015. p. 356-361. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-16268-3_43

Styles in the fashion social network: An analysis on lookbook.nu

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this