Article
Mathematics, Interdisciplinary Applications
Genki Ichinose, Tomohiro Tsuchiya, Shunsuke Watanabe
Summary: By constructing passing networks with players as nodes and passes as links, key players with higher centrality metrics can be identified. The robustness of passing networks, which has a significant impact on game outcomes, is poorly understood but crucial as it relates to ball possession and game strategies. Hubs in passing networks, like full backs, play a key role in increasing robustness through emphasis on attack, showing that not just the number of passes but also the robustness of passing networks are important for winning.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Interdisciplinary Applications
Jiayun Wu, Langzhou He, Tao Jia, Li Tao
Summary: In this paper, a high-accuracy white-box TLP algorithm called DMAB is proposed by shifting the perspective of link prediction to the microscopic level of nodes. Two dynamic properties, node activity and node loyalty, are extracted and quantified to build the DMAB model. Comparative experiments with six state-of-the-art black-box methods on 12 real networks demonstrate that DMAB achieves excellent prediction performance and effectively captures network evolution mechanisms.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Physics, Multidisciplinary
Feifei Wang, Zejun Sun, Quan Gan, Aiwan Fan, Hesheng Shi, Haifeng Hu
Summary: In this paper, a new method is proposed to identify influential nodes in complex networks by aggregating local structure information (ALSI). The algorithm considers the influence of the node itself and the influence contributed by its neighbor node. Experimental results show that the proposed algorithm outperforms many state-of-the-art algorithms in detecting node influence.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Mathematics
Yanjie Xu, Tao Ren, Shixiang Sun
Summary: This study introduces an edge ranking algorithm DID based on node influence distribution and dissimilarity strategy for identifying influential edges in networks. Experimental results demonstrate the superiority of DID in this task, and also show that combining Degree Product and Diffusion Intensity algorithm with node dissimilarity strategy effectively enhances their effectiveness as well.
Article
Computer Science, Artificial Intelligence
Zhili Zhao, Ding Li, Yue Sun, Ruisheng Zhang, Jun Liu
Summary: This study proposes a novel ranking method called SHKS, which improves the k-shell decomposition method based on structural holes. SHKS not only identifies core nodes with large k-shell indices but also finds nodes with small k-shell indices that play an important role in bridging different parts of a network. Experimental results show that SHKS outperforms baseline methods in terms of Kendall Tau correlation results and has good performance in identifying the most influential top-k nodes.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Obstetrics & Gynecology
Heping Zhang
Summary: Success in conducting clinical trials in reproductive medicine requires trained and cultivated teams to collaborate towards a common goal. This article shares personal experiences and lessons learned in teaming, covering topics such as time management, resource allocation, collaboration, publishing, and communication.
FERTILITY AND STERILITY
(2022)
Article
Computer Science, Information Systems
Gary Lin, Sauleh Siddiqui, Jen Bernstein, Diego A. Martinez, Lauren Gardner, Tenley Albright, Takeru Igusa
Summary: This study analyzed collaborations among actors in clinical trials, finding a positive correlation between interdisciplinary collaborations and successful clinical trials, and a negative effect of local clustering coefficient on success. Large pharmaceutical companies tend to collaborate with a wider range of actors, particularly smaller industry actors, which may result in exclusive access to resources. Further research is needed to understand how concentrations of influence and resources could impact treatment development gains.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Computer Science, Cybernetics
Weinan Niu, Wenan Tan, Wei Jia, Lida Xu
Summary: Network embedding (NE) is important for various applications, but most existing systems cannot combine structural and attribute information. To address this problem, we propose a novel model called influential node diffusion-based matrix factorization (INDMF) for attribute NE (ANE). INDMF extracts high-order information through influential node diffusion sequences and optimizes structure-based and attribute-based loss functions using matrix factorization. Experiments demonstrate that INDMF outperforms competing algorithms in node categorization, community detection, and graph visualization on real-world datasets.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Medicine, Research & Experimental
Tara G. Mehta, Jane Mahoney, Aaron L. Leppin, Kathleen R. Stevens, Reza Yousefi-Nooraie, Brad H. Pollock, Rachel C. Shelton, Rowena Dolor, Harold Pincus, Sapana Patel, Justin B. Moore
Summary: Translation is defined as the process of turning observations into interventions that are adopted, sustained, and improve health. Dissemination and implementation (D&I) sciences are informed by understanding the critical role of people and systems in disseminating, adopting, and sustaining innovations within real-world settings, providing a set of principles to guide translational work. The integration of D&I sciences into critical areas like methods, workforce development, and evaluation can enhance translation across the translational spectrum.
JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Rupkumar Mahapatra, Sovan Samanta, Madhumangal Pal
Summary: This article introduces a new method of centrality measurement using a neutrosophic graph, which considers the different merits of individuals in a network and includes the self-weight of individuals. The potential fields of application of this new method are demonstrated through a case study of a small network of university faculty members.
Article
Computer Science, Interdisciplinary Applications
Sebastiano A. Piccolo, Sune Lehmann, Anja M. Maier
Summary: It has been found that collaboration and communication networks in a large engineering project are weakly correlated and exhibit opposite purposes and topological structures. The email communication network is designed to facilitate information dissemination, while the collaboration network is organized to suppress error propagation.
COMPUTERS IN INDUSTRY
(2022)
Article
Mathematics, Interdisciplinary Applications
Linfeng Zhong, Yu Bai, Yan Tian, Chen Luo, Jin Huang, Weijun Pan
Summary: An improved information entropy (IIE) method was proposed to identify the most influential nodes in complex networks, which is important for disease control and viral marketing. The IIE method showed better performance in Kendall's Tau and imprecision function compared to benchmark methods in six different empirical networks, especially in the Facebook network.
Article
Engineering, Electrical & Electronic
Axida Shan, Xiumei Fan, Celimuge Wu, Xinghui Zhang, Rui Men
Summary: Cooperative communication among nodes on roads is crucial in vehicular networks, but selfish nodes greatly reduce network performance. Therefore, this paper proposes a novel detection scheme that takes into account link quality, mobility, and vehicle behaviors using fuzzy logic in a decentralized manner. Additionally, a perception module based on probabilistic calculations is deployed to improve detection decisions. Simulation results demonstrate that the proposed scheme outperforms conventional schemes in terms of Precision, Recall, and F1-score, with acceptable communication overhead.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Physics, Multidisciplinary
Xu-Hua Yang, Zhen Xiong, Fangnan Ma, Xiaoze Chen, Zhongyuan Ruan, Peng Jiang, Xinli Xu
Summary: This study proposes an algorithm based on network embedding method to effectively identify high influence nodes in complex networks. Through numerical simulation experiments, the algorithm's superior performance is demonstrated in eight real networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Environmental Sciences
Petro Tolochko, Alice B. M. Vadrot
Summary: Over the past two decades, marine biodiversity research has become one of the most dynamic fields in environmental research, spanning various spatial and temporal scales, scientific disciplines, and infrastructures. Patterns of scientific collaboration and legal-political-territorial orders shape contributions from different world regions to the field.-Methods such as topic modeling provide insights into the collaboration dynamics and regional specificity in the emergence of new research fields.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Computer Science, Hardware & Architecture
Yue Zhao, Kenji Yoshigoe, Mengjun Xie, Jiang Bian, Ke Xiong
JOURNAL OF SUPERCOMPUTING
(2020)
Review
Medicine, Research & Experimental
Zhe He, Xiang Tang, Xi Yang, Yi Guo, Thomas J. George, Neil Charness, Kelsa Bartley Quan Hem, William Hogan, Jiang Bian
CTS-CLINICAL AND TRANSLATIONAL SCIENCE
(2020)
Review
Environmental Sciences
Hansi Zhang, Hui Hu, Matthew Diller, William R. Hogan, Mattia Prosperi, Yi Guo, Jiang Bian
Summary: An individual's health is influenced by a complex interplay between genetics and environmental exposures. While genetics only account for about 10% of health conditions, the remaining is determined by environmental factors. Comprehensive understanding of disease causes and prevention requires systematic exploration of environmental exposures, especially the external exposome. However, the heterogeneity of external exposome data sources increases the difficulty of analyzing and understanding the associations between environmental exposures and health outcomes. Development of semantic standards using ontologies is crucial to provide a consistent understanding of variables and relationships in heterogeneous data sources.
ENVIRONMENTAL RESEARCH
(2021)
Article
Computer Science, Information Systems
William R. Hogan, Elizabeth A. Shenkman, Temple Robinson, Olveen Carasquillo, Patricia S. Robinson, Rebecca Z. Essner, Jiang Bian, Gigi Lipori, Christopher Harle, Tanja Magoc, Lizabeth Manini, Tona Mendoza, Sonya White, Alex Loiacono, Jackie Hall, Dave Nelson
Summary: The OneFlorida Data Trust is a centralized research patient data repository managed by the OneFlorida Clinical Research Consortium, collecting structured electronic health record and other data on 17.2 million individuals in Florida. The Data Trust uses privacy-preserving entity resolution for patient deduplication and establishes mother-baby relationships, serving as a valuable and relatively unique research resource.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Biochemistry & Molecular Biology
Xinsong Du, Juan J. Aristizabal-Henao, Timothy J. Garrett, Mathias Brochhausen, William R. Hogan, Dominick J. Lemas
Summary: Clinical metabolomics is a novel approach for biomarker discovery, but ensuring reproducibility in clinical research using metabolomics data is challenging. Existing checklists may not be sufficient to guarantee reproducible metabolomics data processing. This paper introduces an eight-item checklist to guide researchers in making computational steps reproducible for clinical metabolomics studies.
Article
Chemistry, Analytical
Ruipeng Zhang, Chen Xu, Mengjun Xie
Summary: The research proposes an innovative IoT service platform powered by consortium blockchain technology, abstracting M2M and H2M communications into services provided by IoT devices and realizing data exchange through smart contracts and blockchain transactions. Experimental results demonstrate high performance under light to moderate workloads and provide valuable insights into the optimization of blockchain configuration.
Article
Cardiac & Cardiovascular Systems
Steven M. M. Smith, Almut G. G. Winterstein, Matthew J. J. Gurka, Marta G. G. Walsh, Shailina Keshwani, Anne M. M. Libby, William R. R. Hogan, Carl J. J. Pepine, Rhonda M. M. Cooper-DeHoff
Summary: This study reveals significant variation in initial antihypertensive prescribing among new users, highlighting a gap between current guideline recommendations and real-world implementation in early hypertension care.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2023)
Article
Computer Science, Information Systems
Cheng Peng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu
Summary: The study proposes a natural language processing system that addresses clinical concept extraction and relation extraction using a unified prompt-based MRC architecture, with good generalizability for cross-institution applications. State-of-the-art transformer models are explored and compared with existing deep learning models for concept and relation extraction on benchmark datasets. The proposed MRC models achieve better performance and transfer learning ability in a cross-institution setting.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Article
Computer Science, Information Systems
Piaopiao Li, Tianchen Lyu, Khalid Alkhuzam, Eliot Spector, William T. Donahoo, Sarah Bost, Yonghui Wu, William R. Hogan, Mattia Prosperi, Desmond A. Schatz, Mark A. Atkinson, Michael J. Haller, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Hui Shao
Summary: This study aimed to establish an EHR-based surveillance system for type 1 diabetes (T1D) in children and adolescents across racial and ethnic groups by identifying the minimum population coverage from EHR-connected health systems to accurately estimate T1D prevalence.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Article
Health Care Sciences & Services
Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian
Summary: This study explored the feasibility of using real-world data to simulate clinical trials for Alzheimer's disease, comparing different formulations of donepezil. Two main simulation scenarios were considered: one-arm simulation and two-arm simulation with propensity score matching. Higher SAE rates were observed in the simulated trials compared to the original trial, indicating potential limitations of the approach.
NPJ DIGITAL MEDICINE
(2021)
Article
Computer Science, Information Systems
Xi Yang, Jiang Bian, William R. Hogan, Yonghui Wu
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2020)
Letter
Medicine, General & Internal
William Hogan, Stephen Frost, Lissa Johnson, Thomas G. Schulze, E. Anthony S. Nelson, William Frost
Article
Medical Informatics
Caitrin W. McDonough, Steven M. Smith, Rhonda M. Cooper-DeHoff, William R. Hogan
JMIR MEDICAL INFORMATICS
(2020)
Proceedings Paper
Telecommunications
Chen Xu, Ruipeng Zhang, Mengjun Xie, Li Yang
2019 IEEE 27TH INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (IEEE ICNP)
(2019)
Proceedings Paper
Telecommunications
Ruipeng Zhang, Chen Xu, Mengjun Xie
2019 IEEE 27TH INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (IEEE ICNP)
(2019)