2026-09-19T20:52:19Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/105102 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Kumar, Ranjitha Chen, Qinglin 2019-08-23T20:36:12Z 2019-08-23T20:36:12Z 2021-08-24T09:15:34Z 2019-04-26 2019-05 The rise of social media has changed the nature of the fashion industry. Influence is no longer concentrated in the hands of an elite few: social networks distribute power across a broad set of tastemakers; trends are driven bottom-up and top-down; and designers, retailers, and consumers are regularly inundated with new styles and looks. This thesis presents a large-scale study of fashion influencers on Twitter and proposes a fashion graph visualization dashboard to explore the social interactions between these Twitter accounts. Leveraging a dataset of 11.5k Twitter fashion accounts, a content-based classifier was trained to predict which accounts are fashion-centric. With the classifier, I identified more than 300k fashion-related accounts through a snowball crawling and then defined a stable group of 1000 influencers as the fashion core. I further human-labeled these influencers’ Twitter accounts and mine their recent tweets. Finally, I built a fashion graph visualization dashboard that allows users to visualize the interactions and relationships between individuals, brands, and media influencers. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01 The student, Qinglin Chen, accepted the attached license on 2019-04-25 at 15:13. The student, Qinglin Chen, submitted this Thesis for approval on 2019-04-25 at 15:19. This Thesis was approved for publication on 2019-04-26 at 14:13. DSpace SAF Submission Ingestion Package generated from Vireo submission #13922 on 2019-08-22 at 15:08:43 Made available in DSpace on 2019-08-23T20:36:12Z (GMT). No. of bitstreams: 2 CHEN-THESIS-2019.pdf: 10256513 bytes, checksum: c4ff0b8f2db78d40d23868675deca11b (MD5) LICENSE.txt: 4209 bytes, checksum: d887e9034c676c149aa0fbfc0932c6f5 (MD5) Previous issue date: 2019-04-26 Embargo set by: Seth Robbins for item 112221 Lift date: 2021-08-23T20:36:18Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only Restriction Lifted for Item 112221 on 2021-08-24T09:15:34Z. application/pdf http://hdl.handle.net/2142/105102 en © 2019 Qinglin Chen Fashion Influencers Social Networks Twitter Machine Learning Data Mining HCI A large-scale study of fashion influencers on Twitter text text Computer Science Computer Science University of Illinois at Urbana-Champaign Thesis M.S.