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Maximum Value Matters: Finding Hot Topics in Scholarly Fields [article]

Jinghao Zhao, Hao Wu, Fengyu Deng, Wentian Bao, Wencheng Tang, Luoyi Fu, Xinbing Wang
2017 arXiv   pre-print
Given the compromised effectiveness of such predictions, in this paper we use a real scholarly dataset from Microsoft Academic Graph, which provides more than 12000 topics in the field of Computer Science  ...  Interestingly, our prediction suggests that the maximum value matters in finding hot topics in scholarly fields, primarily from three aspects: (1) the maximum value of each factor, such as authors' maximum  ...  predict the future trend of scholarly topics.  ... 
arXiv:1710.06637v1 fatcat:c32ls2e26bhalasiijshwqsoeq

Can We Count on Social Media Metrics?

Maryam Mehrazar, Christoph Carl Kling, Steffen Lemke, Athanasios Mazarakis, Isabella Peters
2018 Proceedings of the 10th ACM Conference on Web Science - WebSci '18  
Measuring research impact is important for ranking publications in academic search engines and for research evaluation.  ...  Our findings have direct implications for the future design of altmetrics for scientific impact prediction.  ...  In order to improve altmetrics for scientific impact prediction, it is essential to understand the demographics and motives of scholarly social media users.  ... 
doi:10.1145/3201064.3201101 dblp:conf/websci/MehrazarKLMP18 fatcat:qukt7e5hmvb4ncekj6cf535x2y

Unveiling Scholarly Communities over Knowledge Graphs [chapter]

Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal
2018 Lecture Notes in Computer Science  
In this paper, we tackle the problem of knowledge discovery in scholarly knowledge graphs, i.e., graphs that integrate scholarly data, and present Korona, a knowledge-driven framework able to unveil scholarly  ...  communities for the prediction of scholarly networks.  ...  Intuitively, the application of the homophily prediction principle enables Korona to relate two researchers r i and r j whenever they work on similar research topics or publish in similar scientific venues  ... 
doi:10.1007/978-3-030-00066-0_9 fatcat:lomxthsvkvaqjkno2rjvp6jkwi

Unveiling Scholarly Communities over Knowledge Graphs [article]

Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal
2018 arXiv   pre-print
In this paper, we tackle the problem of knowledge discovery in scholarly knowledge graphs, i.e., graphs that integrate scholarly data, and present Korona, a knowledge-driven framework able to unveil scholarly  ...  communities for the prediction of scholarly networks.  ...  Intuitively, the application of the homophily prediction principle enables Korona to relate two researchers r i and r j whenever they work on similar research topics or publish in similar scientific venues  ... 
arXiv:1807.06816v1 fatcat:3yo5it5i65hmjnuey3wijnhg2u

Comparison of Quality Indicators in User-generated Content Using Social Media and Scholarly Text [article]

Manirupa Das, Renhao Cui
2019 arXiv   pre-print
available from the text, and show how these features inform prediction of document quality in different ways.  ...  prediction of quality across these disparate domains.  ...  more predictive value to the quality of scholarly text.  ... 
arXiv:1910.11399v1 fatcat:y4w6o2eegradlf6zmfupqnret4

Measuring discursive influence across scholarship

Aaron Gerow, Yuening Hu, Jordan Boyd-Graber, David M. Blei, James A. Evans
2018 Proceedings of the National Academy of Sciences of the United States of America  
Building on dynamic topic models that track distributional shifts in discourse over time, we introduce a variant that incorporates features, such as authorship, affiliation, and publication venue, to assess  ...  Analysis of citations alongside discursive influence reveals that citations tend to credit authors who persist in their fields over time and discount credit for works that are influential over many topics  ...  Predicting citations is notoriously difficult (15, 17) , in part because many papers are never cited.  ... 
doi:10.1073/pnas.1719792115 pmid:29531061 pmcid:PMC5879694 fatcat:dpjxfwdb2zbspbcs2zrp33totq

Guest Editorial: Scholarly Big Data

Feng Xia, C. Lee Giles, Huan Liu, Kuansan Wang
2021 IEEE Transactions on Emerging Topics in Computing  
In addition, they develop a classification model for predicting whether a citing paper would be a citation promoter for its cited paper.  ...  citation fitness in scholarly big data.  ... 
doi:10.1109/tetc.2021.3059329 fatcat:n73qoatwyvhsta3goqwqmnhvte

Brain Activation-based Filtering: a Scholarly Journal Recommendation Model for Human Neuroimaging Studies [article]

Junsol Kim
2020 bioRxiv   pre-print
Therefore, this paper proposes a scholarly journal recommendation model for human neuroimaging studies called brain activation-based filtering (BAF).  ...  Five-fold cross-validation shows that BAF predicts journals with a reliable area under the curve score of 0.855.  ...  Therefore, this paper proposes a scholarly journal recommendation model for human neuroimaging 23 studies called brain activation-based filtering (BAF).  ... 
doi:10.1101/2020.10.06.327684 fatcat:5y36oygaqjbpza3fy22gjaha4a

Author Impact: Evaluations, Predictions, and Challenges

Fuli Zhang, Xiaomei Bai, Ivan Lee
2019 IEEE Access  
In this paper, we first introduce the background of the author impact evaluation and prediction.  ...  Author impact evaluation and prediction play a key role in determining rewards, funding, and promotion.  ...  author feature (author influence, number of co-authors, first author's h-index, average h-index of all authors), paper feature (citations, average citations, topic novelty, topic diversity), social feature  ... 
doi:10.1109/access.2019.2905955 fatcat:uxszsekr3zb7nedkra4gkuv4sq

An Overview on Evaluating and Predicting Scholarly Article Impact

Xiaomei Bai, Hui Liu, Fuli Zhang, Zhaolong Ning, Xiangjie Kong, Ivan Lee, Feng Xia
2017 Information  
Scholarly article impact reflects the significance of academic output recognised by academic peers, and it often plays a crucial role in assessing the scientific achievements of researchers, teams, institutions  ...  This article provides a comprehensive review of recent progresses related to article impact assessment and prediction.  ...  How to predict impact of Sleeping Beauties? Whether the trending topics are related to Sleep Beauties? Whether the trending topics have contributed to predict Sleep Beauties?  ... 
doi:10.3390/info8030073 fatcat:qtlxuy2jengmtoo6kbp2shzjgy

An Overview on Evaluating and Predicting Scholarly Article Impact [article]

Xiaomei Bai, Hui Liu, Fuli Zhang, Zhaolong Ning, Xiangjie Kong, Ivan Lee, Feng Xia
2020 arXiv   pre-print
Scholarly article impact reflects the significance of academic output recognised by academic peers, and it often plays a crucial role in assessing the scientific achievements of researchers, teams, institutions  ...  This article provides a comprehensive review of recent progresses related to article impact assessment and prediction.  ...  How to predict impact of Sleeping Beauties? Whether the trending topics are related to Sleep Beauties? Whether the trending topics have contributed to predict Sleep Beauties?  ... 
arXiv:2008.03867v1 fatcat:esj4z5dsobbjrkuktyw3nzqghq

The Influence of Social Usage Data on Science

Xin Shuai
2013 Bulletin of IEEE Technical Committee on Digital Libraries  
This paper proposes to model scientific development by leveraging a large amount of diverse social media data, including Twitter, Wikipedia, and web usage data, from three aspects.  ...  The development of science is inevitably affected by social dynamics since more and more scholarly activities are happening online.  ...  Three research topics are proposed: First, to investigate how social impact is related to scholarly reputation; Second, to analyze how scientific messages propagate on social web; Third, to study the scientific  ... 
dblp:journals/tcdl/Shuai13 fatcat:jebuhp2cufc35ij27rpaybb6xm

Correlation of Scholarly Networks and Social Networks [article]

Amir Razmjou
2014 arXiv   pre-print
Missing a valuable dimension of network, which is an audience scholarly paper. We aim at this paper to assess the impact that social networks and media can have on scholarly papers.  ...  In previous studies, much attention from multidisciplinary fields has been devoted to understand the mechanism of underlying scholarly networks including bibliographic networks, citation networks and co-citation  ...  Predict emergence of new fields can be fascinating for research institute to make right investments into research topics that a potential for them can be foreseen.  ... 
arXiv:1411.5245v1 fatcat:suvse6hjfvg5lmjuoz5cl2nm6a

Author Impact: Evaluations, Predictions, and Challenges [article]

Fuli Zhang, Xiaomei Bai, Ivan Lee
2020 arXiv   pre-print
Author impact evaluation and prediction play a key role in determining rewards, funding, and promotion. In this paper, we first introduce the background of author impact evaluation and prediction.  ...  This paper should help the researchers obtain a broader understanding in author impact evaluation and prediction, and provides future research directions.  ...  author feature (author influence, number of coauthors, first author's h-index, average h-index of all authors), paper feature (citations, average citations, topic novelty, topic diversity), social feature  ... 
arXiv:2008.04648v1 fatcat:j4wp4mxy45gcjenn6tjmerc6qq

Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other

Erjia Yan, Ying Ding
2012 Journal of the American Society for Information Science and Technology  
, topical networks, coauthorship networks, and co-word networks.  ...  We recommend the use of hybrid or heterogeneous networks to study research interaction and scholarly communications.  ...  Stanley Wasserman for his guidance in this research project. The authors would also like to thank Ludo Waltman of CWTS, Leiden University for his comments on methods used in this article.  ... 
doi:10.1002/asi.22680 fatcat:o3id3z45t5d3zhxzlqlcxgnj7m
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