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Scale-free collaboration networks: An author name disambiguation perspective
[article]
2018
pre-print
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This study argues that collaboration networks can look more or less scale-free depending on the methods for resolving author name ambiguity in bibliographic data. ...
Analyzing networks constructed from multiple datasets containing 3.4M 9.6M publication records, this study shows that collaboration networks in which author names are disambiguated by the commonly used ...
Serving as evidence of scale-free social networks, the aggregated findings of scale-free-ness in collaboration networks have formed an important basis of various efforts to model human interaction patterns ...
doi:10.1002/asi.24158
arXiv:1811.03030v1
fatcat:efbfuttw3bfanjlu2wkcptf5lq
Mining and Analyzing Academic Social Networks
2015
International Journal of Computer Applications Technology and Research
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Of all types of possible academic and research collaborations, co-authorship is best documented. ...
Academics establish relationships by way of various interactions like jointly authoring a research paper or report, jointly supervising a thesis, working jointly on a project, etc. ...
Removal of duplicates or name disambiguation plays an important role in efficient analysis of publications data. ...
doi:10.7753/ijcatr0412.1001
fatcat:x64zodhqy5febmlfngsmk53ffm
Distortive effects of initial-based name disambiguation on measurements of large-scale coauthorship networks
2015
Journal of the Association for Information Science and Technology
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2015 pre-print arXiv:1502.06306v1 fatcat:vbk3ly4wufhadbbk4p5vi464im
Scholars have often relied on name initials to resolve name ambiguities in large-scale coauthorship network research. ...
Also, on average, more than half of top 10 productive or collaborative authors drop off the lists. ...
Such a mechanism was shown to lead to a scale-free network, where the distribution of node degree follows a power law. ...
doi:10.1002/asi.23489
fatcat:yycygvw2ybcupkqgxqivdihmae
Trends in science networks: understanding structures and statistics of scientific networks
2012
Social Network Analysis and Mining
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through the emergence of new papers and authors. ...
Following an interdisciplinary approach, we perform a wideranging analysis of the high-energy physics dataset using techniques such as social networks centrality analysis, topological analysis, investigation ...
Acknowledgments The authors would like to thank Niting Qi and Dongyang Teng for their help in extending the dataset studied in this research, and the anonymous reviewers for their feedback and suggestions ...
doi:10.1007/s13278-011-0044-6
fatcat:h7fcgsxenjcizgzluc2iwzi5qu
Co-authorship network of national researchers of Social Sciences in Mexico
2020
Revista de la Universidad del Zulia. Ciencias sociales y arte
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with properties that are explained by both the small-world and the free-scale model. ...
One of the conclusions of the research is that the researchers under study publish in a similar proportion individually or collaboratively, configuring a fragmented co-authorship network with a main component ...
In some of them, it implied correcting the disambiguation of their names as authors, that is, the records were checked to see the variations of the names of the authors as well as the incorrect characters ...
doi:10.46925//rdluz.31.02
fatcat:c4nywcifvbg3rdtmrqf6cta55a
Tie Persistence in Academic Social Networks
2016
Informatica (Ljubljana, Tiskana izd.)
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Our purpose is to assess the extent to which the frequency of the tie, the academic closeness between its actors, and the scientific contributions of the actors in the tie can affect the scientific collaboration ...
We experimented the model on a social network extracted from the DBLP computer science bibliographic network. We compared the output of the model with that of the link prediction baseline methods. ...
They are also scale free following a power law in several node properties and their structures are affected by the preferential attachment phenomenon [18, 37] . ...
dblp:journals/informaticaSI/MohdebBC16
fatcat:6dcetf5o3jbzhpswdftgbl7scq
The Extraction of Community Structures from Publication Networks to Support Ethnographic Observations of Field Differences in Scientific Communication
[article]
2013
arXiv
pre-print
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The scientific community of researchers in a research specialty is an important unit of analysis for understanding the field specific shaping of scientific communication practices. ...
networks thereby enabling the systematic study of field differences. ...
Author Name Disambiguation To address the problem of name homonymy we apply an algorithm, which was developed and evaluated in Velden et al. (2011) , to disambiguate author names. ...
arXiv:1205.2114v2
fatcat:orzsm63tivhdbgyjmli3re736q
Identifying and improving AGU collaborations using network analysis and scientometrics
2019
Geoscience Communication
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We are interested in the AGU network structure and what its properties can tell us about how the procedures of the AGU Fall Meeting can be enhanced to facilitate better scientific communication and collaboration ...
</strong> The American Geophysical Union (AGU) is an Earth and space science professional society based in the United States. ...
Eric's work was made possible through an ESIP mini-grant. The work ESIP enabled, and Eric's early discussions with the first author, helped lay the groundwork for the research presented here. ...
doi:10.5194/gc-2-55-2019
fatcat:6gzt2wu2mjfn5alkj4hiik32ym
Social Centralization and Semantic Collapse: Hyperbolic Embeddings of Networks and Text
[article]
2020
arXiv
pre-print
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We illustrate this method by examining the relationship between social centralization and semantic diversity within 21st Century physics, empirically demonstrating how dense, centralized collaboration ...
We discuss the complex of causes underlying this association, and theorize the dynamic interplay between structural centralization and semantic contraction, arguing that it introduces an essential tension ...
Name disambiguation of authors and institutions In order to disambiguate WoS authors we use a hybrid algorithm. ...
arXiv:2001.09493v1
fatcat:7lbn7xps6rhjjokgixct3j7ye4
Predicting scientific success based on coauthorship networks
2014
EPJ Data Science
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Analyzing a data set of over 100,000 publications from the field of Computer Science, we study how centrality in the coauthorship network differs between authors who have highly cited papers and those ...
We further show that a Machine Learning classifier, based only on coauthorship network centrality metrics measured at the time of publication, is able to predict with high precision whether an article ...
Each publication record contains a list of author IDs, which, by means of disambiguation heuristics internally applied by the MSAS service, uniquely identify authors independent of name spelling variations ...
doi:10.1140/epjds/s13688-014-0009-x
fatcat:zetnbkqurnbsbkuszrzbkvyp6e
Seven Decades of Chemotherapy Clinical Trials: A Pan-Cancer Social Network Analysis
[article]
2019
biorxiv/medrxiv
pre-print
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Small numbers of individuals were highly connected and had disproportionate impact (scale-free effects). ...
Individual author impact and productive period were analyzed as a function of gender and subspecialty. Findings: From 1946-2018, the network grew to 29,197 authors and 697,084 co-authors. ...
Disambiguation of author names. For each included publication, author names were extracted and disambiguated. ...
doi:10.1101/19010603
fatcat:bebfp4rwuvabrnegwrhmuw7eeq
Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation
[article]
2017
arXiv
pre-print
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Thus, understanding how people seek information online is an important issue of study. ...
Finally, we go on to suggest applications for this analysis in identifying and correcting deficiencies in the Wikipedia page network that may also be adapted to more general information networks. ...
From a network perspective, these data act as an edge list and may be used to construct a weighted, directed graph. ...
arXiv:1710.03326v2
fatcat:wjlmnkkmizam5cyd6m4d6yffwq
The extraction of community structures from publication networks to support ethnographic observations of field differences in scientific communication
2013
Journal of the American Society for Information Science and Technology
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The scientific community of researchers in a research specialty is an important unit of analysis for understanding the field-specific shaping of scientific communication practices. ...
networks thereby enabling the systematic study of field differences. ...
To improve the accuracy of the network we apply an author disambiguation algorithm, described below in the Author Name Disambiguation section. ...
doi:10.1002/asi.22929
fatcat:2x3vgniy6rea5jtwjtzz74irbm
An LDA-based Community Structure Discovery Approach for Large-Scale Social Networks
2007
2007 IEEE Intelligence and Security Informatics
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This paper describes an LDA(latent Dirichlet Allocation)-based hierarchical Bayesian algorithm, namely SSN-LDA(Simple Social Network LDA). ...
The experimental results demonstrate that this approach is promising for discovering community structures in large-scale networks. 1 ...
ACKNOWLEDGMENT The authors would like to thank Wei Li, Xuerui Wang, and Ding Zhou for the helpful discussions on this paper. The authors would also thank NSF and Dr. ...
doi:10.1109/isi.2007.379553
dblp:conf/isi/ZhangQGFY07
fatcat:npsvtec45fewlcz6k4o4inzggq
Exploring dynamic multilayer graphs for digital humanities
2020
Applied Network Science
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The corpus allowed generating a dynamic multilayer network which represents different kinds of named entities appearing and co-appearing in the collections. ...
for common flaws with the annotation of named entities. ...
Acknowledgements The authors would like to thank the master student Samuel Guillaume for his excellent contribution to the implementation of the Intergraph platform. ...
doi:10.1007/s41109-020-00295-x
fatcat:ehrttvesfrcsdkhe7nlompliaq
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