arXiv cs.CL· Amalia Foka·· 11 小时前AI 评分18
利用社交媒体挖掘构建艺术界影响力者网络
Constructing an Artworld Influencers Network by Mining Social Media
AI 导读
研究者提出一种构建艺术界网络图谱的方法：以人工选定的样本艺术界人物推文为起点，用 NLP 方法识别出重要艺术界人物（包括没有 Twitter 账号者），再用 Louvain 方法检测社群、用 HITS 中心性评估其权威度。该网络能从少量样本人物出发发现新的艺术界人物，并提供难以通过其他方式收集的数据。
正文 · 原文
Abstract:The author shows a methodology for constructing a network map of the artworld. The tweets posted by a manually comprised set of exemplar artworld actors and Natural Language Processing (NLP) methods are used to identify significant artworld actors, including those that do not own a Twitter account. Identified artworld actors form communities detected with the Louvain method, and their authority is evaluated with the HITS centrality method. The resulting artworld network exhibits the ability, starting with a small set of exemplar actors, to identify new artworld actors and provides a wealth of data that would be very hard to collect otherwise.
| Comments: | Author's accepted manuscript. Published in Leonardo 55(1), 24-29 (2022), MIT Press. (c) 2022 ISAST. Supplemental material and tweet IDs: this https URL |
| Subjects: | Social and Information Networks (cs.SI); Computation and Language (cs.CL); Computers and Society (cs.CY) |
| ACM classes: | H.3.3; J.5; I.2.7 |
| Cite as: | arXiv:2611.02657 [cs.SI] |
| (or arXiv:2611.02657v1 [cs.SI] for this version) | |
| https://doi.org/10.48550/arXiv.2611.02657 arXiv-issued DOI via DataCite (pending registration) |
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| Journal reference: | Leonardo 55(1), 24-29 (2022) |
| Related DOI: | https://doi.org/10.1162/leon_a_02094
DOI(s) linking to related resources |
Submission history
From: Amalia Foka [view email]
[v1]
Mon, 2 Nov 2026 07:16:12 UTC (2,933 KB)
来源：arXiv cs.CL · arxiv.org