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Topic models are popular models for analyzing a collection of text documents. The models assert that documents are distributions over latent topics and latent topics are distributions over words. A nested document collection is where…

信息检索 · 计算机科学 2021-04-05 Jason Wang , Robert E. Weiss

In this era of fake news and political polarization, it is desirable to have a system to enable users to access balanced news content. Current solutions focus on top down, server based approaches to decide whether a news article is fake or…

信息检索 · 计算机科学 2018-03-12 Anish Anil Patankar , Joy Bose , Harshit Khanna

One major component of the VO will be catalogs measuring gigabytes and terrabytes if not more. Some mechanism like XML will be used for structuring the information. However, such mechanisms are not good for information retrieval on their…

天体物理学 · 物理学 2009-11-07 A. Mahabal , S. G. Djorgovski , R. Brunner , R. Williams

We apply bio-inspired methods for the analysis of different dynamic bibliometric networks (linking papers by citation, authors, and keywords, respectively). Biological species are clusters of individuals defined by widely different criteria…

数字图书馆 · 计算机科学 2011-01-20 Sandor Soos , George Kampis

Clustering scientific publications can reveal underlying research structures within bibliographic databases. Graph-based clustering methods, such as spectral, Louvain, and Leiden algorithms, are frequently utilized due to their capacity to…

数字图书馆 · 计算机科学 2025-05-27 Vu Thi Huong , Thorsten Koch

Do different fields of knowledge require different research strategies? A numerical model exploring different virtual knowledge landscapes, revealed two diverging optimal search strategies. Trend following is maximized when the popularity…

物理与社会 · 物理学 2023-07-19 Klaus Jaffe

A recurrent neural network that has been trained to separately model the language of several documents by unknown authors is used to measure similarity between the documents. It is able to find clues of common authorship even when the…

计算与语言 · 计算机科学 2016-08-17 Douglas Bagnall

Data can be collected in scientific studies via a controlled experiment or passive observation. Big data is often collected in a passive way, e.g. from social media. In studies of causation great efforts are made to guard against bias and…

统计方法学 · 统计学 2018-11-21 Elena Pesce , Eva Riccomagno , Henry P. Wynn

The use of science to understand its own structure is becoming popular, but understanding the organization of knowledge areas is still limited because some patterns are only discoverable with proper computational treatment of large-scale…

社会与信息网络 · 计算机科学 2016-04-25 Filipi N. Silva , Diego R. Amancio , Maria Bardosova , Osvaldo N. Oliveira , Luciano da F. Costa

We present a novel approach to visually locate bodies of research within the sciences, both at each moment of time and dynamically. This article describes how this approach fits with other efforts to locally and globally map scientific…

数字图书馆 · 计算机科学 2009-12-22 Ismael Rafols , Alan L. Porter , Loet Leydesdorff

Scholars frequently employ relatedness measures to estimate the similarity between two different items (e.g., documents, authors, and institutes). Such relatedness measures are commonly based on overlapping references ($\textit{i.e.}$,…

社会与信息网络 · 计算机科学 2020-04-14 Jinhyuk Yun , Sejung Ahn , June Young Lee

A Topic Map is a structured network of hyperlinks that points into an information pool. Topic Maps have an existence independent of the information pool and hence different Topic Maps can form different layers above the same information…

天体物理学 · 物理学 2015-06-24 A A Mahabal , S G Djorgovski , R E Williams , R Brunner

Many Artificial Intelligence systems depend on the agent's updating its beliefs about the world on the basis of experience. Experiments constitute one type of experience, so scientific methodology offers a natural environment for examining…

人工智能 · 计算机科学 2013-04-08 Harold P. Lehmann

Conflicts of interest often arise between data sources and their users regarding how the users' information needs should be interpreted by the data source. For example, an online product search might be biased towards presenting certain…

数据库 · 计算机科学 2026-03-09 Nischal Aryal , Arash Termehchy , Marianne Winslett

In recent years, data science has become an indispensable part of our society. Over time, we have become reliant on this technology because of its opportunity to gain value and new insights from data in any field - business, socializing,…

计算机与社会 · 计算机科学 2020-10-28 Dinh-An Ho , Oya Beyan

Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix only. This offers flexible and robust global data inspection methods…

机器学习 · 计算机科学 2009-09-04 Barbara Hammer , Alexander Hasenfuß , Fabrice Rossi

The instances of templates in Wikipedia form an interesting data set of structured information. Here I focus on the cite journal template that is primarily used for citation to articles in scientific journals. These citations can be…

数字图书馆 · 计算机科学 2008-06-12 Finn Aarup Nielsen

The sheer volume of scientific experimental results and complex technical statements, often presented in tabular formats, presents a formidable barrier to individuals acquiring preferred information. The realms of scientific reasoning and…

计算与语言 · 计算机科学 2024-03-28 Zhixin Guo , Jianping Zhou , Jiexing Qi , Mingxuan Yan , Ziwei He , Guanjie Zheng , Zhouhan Lin , Xinbing Wang , Chenghu Zhou

The ISI subject categories classify journals included in the Science Citation Index (SCI). The aggregated journal-journal citation matrix contained in the Journal Citation Reports can be aggregated on the basis of these categories. This…

物理与社会 · 物理学 2009-11-06 Loet Leydesdorff , Ismael Rafols

While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimensions, such as the authors mood, gender, age, or sentiment.…

信息检索 · 计算机科学 2014-01-22 Sajib Dasgupta , Vincent Ng