Relevant bibliographies by topics / Topic evolution networks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Topic evolution networks'

Author: Grafiati
Published: 25 May 2024
Last updated: 28 July 2025

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Journal articles on the topic "Topic evolution networks"

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Liang, Wei, Zixian Lu, Qun Jin, Yonghua Xiong, and Min Wu. "Modeling and Analyzing of Research Topic Evolution Associated with Social Networks of Researchers." International Journal of Distributed Systems and Technologies 7, no. 3 (2016): 42–62. http://dx.doi.org/10.4018/ijdst.2016070103.

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Research trends keep evolving along the time with certain trackable patterns. Mining academic literature and discovering the latent research trends evolution is an interesting and important problem. Few of previous studies focusing on academic topic evolution modeling have addressed the temporal topic evolution patterns. In addition, researchers' profile and their social networks are valuable complementary to the research trends tracking. In this study, to analyze the underlying research trends evolution along with the scientific collaborations of researchers, a novel temporal research trends
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Jensen, Scott, Xiaozhong Liu, Yingying Yu, and Staša Milojevic. "Generation of topic evolution trees from heterogeneous bibliographic networks." Journal of Informetrics 10, no. 2 (2016): 606–21. http://dx.doi.org/10.1016/j.joi.2016.04.002.

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Jung, Sukhwan, and Aviv Segev. "Analyzing the generalizability of the network-based topic emergence identification method." Semantic Web 13, no. 3 (2022): 423–39. http://dx.doi.org/10.3233/sw-212951.

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Topic evolution helps the understanding of current research topics and their histories by automatically modeling and detecting the set of shared research fields in academic publications as topics. This paper provides a generalized analysis of the topic evolution method for predicting the emergence of new topics, which can operate on any dataset where the topics are defined as the relationships of their neighborhoods in the past by extrapolating to the future topics. Twenty sample topic networks were built with various fields-of-study keywords as seeds, covering domains such as business, materi
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Liu, Yanni, Dongsheng Liu, and Yuwei Chen. "Research on Sentiment Tendency and Evolution of Public Opinions in Social Networks of Smart City." Complexity 2020 (June 4, 2020): 1–13. http://dx.doi.org/10.1155/2020/9789431.

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With the rapid development of mobile Internet, the social network has become an important platform for users to receive, release, and disseminate information. In order to get more valuable information and implement effective supervision on public opinions, it is necessary to study the public opinions, sentiment tendency, and the evolution of the hot events in social networks of a smart city. In view of social networks’ characteristics such as short text, rich topics, diverse sentiments, and timeliness, this paper conducts text modeling with words co-occurrence based on the topic model. Besides
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Wang, Xiang Yang. "Hot Topic Detection in News Blog." Applied Mechanics and Materials 513-517 (February 2014): 1114–18. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1114.

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Topic detection in news blogs needs to carefully arrange the information and analyze the characteristics of topics. However, there are some difficulties for hot topic detection in blogs. On one hand, information overload and dynamic change of web pages are obstacles of information arrangement. On the other hand, there are different hotness evaluation norms for web topics. The proposed method first analyzes the characteristics of the news blog and recognizes the factors which can influence the evolution of a topic. Then a word network is constructed, and candidate topics are extracted from the
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Lee, Won Sang. "Analyzing the Evolution of Interdisciplinary Areas." Journal of Global Information Management 30, no. 1 (2022): 1–23. http://dx.doi.org/10.4018/jgim.304062.

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Recently, various new areas of research have been of great interest to researchers. As these areas are highly based on academic and industrial needs, it is necessary to examine the change and evolution in research. This study proposed a framework for identifying emerging areas and their evolution. The proposed framework suggests that latent Dirichlet allocation is applied to identify emerging topics and their networks in such interdisciplinary areas. The simulation for empirical network analysis was then applied to the identified topic networks to terminate continuous evolution. The proposed f
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Chen, Mo. "Research on Key Technology of Web Hierarchical Topic Detection and Evolution Based on Behaviour Tracking Analysis." International Journal of Computers Communications & Control 14, no. 3 (2019): 311–28. http://dx.doi.org/10.15837/ijccc.2019.3.3534.

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In the development background of today’s big data era, the research direction of Web hierarchical topic detection and evolution characterized by the semistructured or unstructured data has caught wide attention for academicians. This paper proposes an idea of Web hierarchical topic detection and evolution based on behaviour tracking analysis taking the network big data as the research object, and expounds main implementation methods, which include the instance analysis of the usage mode, the instance analysis of the seed, the set analysis of similar instance supporting the topics, the set anal
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Chen, Huarong, Yadong Wu, Huaquan Tang, et al. "Visual Analysis Method for Traffic Trajectory with Dynamic Topic Movement Patterns Based on the Improved Markov Decision Process." Electronics 13, no. 3 (2024): 467. http://dx.doi.org/10.3390/electronics13030467.

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The visual analysis of trajectory topics is helpful for mining potential trajectory patterns, but the traditional visual analysis method ignores the evolution of the temporal coherence of the topic. In this paper, a novel visual analysis method for dynamic topic analysis of traffic trajectory is proposed, which is used to explore and analyze the traffic trajectory topic and evolution. Firstly, the spatial information is integrated into trajectory words, calculating the dynamic trajectory topic model based on dynamic analysis modeling and, consequently, correlating the evolution of the trajecto
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Ali, Faizan, Eunhye (Olivia) Park, Junehee Kwon, and Bongsug (Kevin) Chae. "30 years of contemporary hospitality management." International Journal of Contemporary Hospitality Management 31, no. 7 (2019): 2641–65. http://dx.doi.org/10.1108/ijchm-10-2018-0832.

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Purpose This paper aims to showcase the trends in the research topics and their contributors over a time period of 30 years in the International Journal of Contemporary Hospitality Management (IJCHM). To be specific, this paper uncovers IJCHM’s latent topics and hidden patterns in published research and highlights the differences across three decades and before and after Social Sciences Citation indexing. Design/methodology/approach In total, 1,573 documents published over 199 issues of IJCHM were analyzed using two computational tools, i.e. metaknowledge and structural topic modeling (STM), a
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Zhang, Lan, Yuxuan Hu, Weihua Li, Quan Bai, and Parma Nand. "LLM-AIDSim: LLM-Enhanced Agent-Based Influence Diffusion Simulation in Social Networks." Systems 13, no. 1 (2025): 29. https://doi.org/10.3390/systems13010029.

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This paper introduces an LLM-Enhanced Agent-Based Influence Diffusion Simulation (LLM-AIDSim) framework that integrates large language models (LLMs) into agent-based modelling to simulate influence diffusion in social networks. The proposed framework enhances traditional influence diffusion models by allowing agents to generate language-level responses, providing deeper insights into user agent interactions. Our framework addresses the limitations of probabilistic models by simulating realistic, context-aware user behaviours in response to public statements. Using real-world news topics, we de
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Dissertations / Theses on the topic "Topic evolution networks"

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Li, Ke. "Exploring Topic Evolution in Large Scientific Archives with Pivot Graphs." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS043.

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Il existe une demande croissante d'outils pratiques pour explorer l'évolution de la recherche scientifique publiée dans des archives bibliographiques telles que le Web of Science, arXiv, PubMed ou ISTEX. L’extraction de topics et de leur évolution à partir de ces archives documentaires a de nombreuses applications et peut être étendue pour synthétiser des récits à partir d'ensembles de documents dans plusieurs domaines, y compris les flux d’actualités, les articles de recherche, les textes juridiques et les œuvres littéraires. Dans cette thèse, nous proposons un modèle de données et un langage
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Teixeira, Diana Von-Haff Lopes. "Spatio-temporal distribution analysis of brand interest in social networks." Master's thesis, 2018. http://hdl.handle.net/10071/18604.

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Social Networks applications such as Facebook and Twitter became part of many people’s lives and are used daily by millions of users. In such platforms, users share their emotions, opinions, experiences, and thoughts. Twitter, in particular, is used to discuss diverse topics, including brands, their products and services. In this thesis, we analyse how brand interest is reflected on Twitter and how this platform can be used to monitor what people say about specific brands, as an indicator of brand interest. Brand interest can be defined as the level of interest one has in a brand, and th
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Chen, Jia-Yu, and 陳佳瑜. "A Novel Citation Network for Research Topic Evolution." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/d5j5cc.

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碩士<br>國立臺灣大學<br>資訊管理學研究所<br>107<br>In the past, people consumed related research thesis, journal papers or patent specifications to conclude the research trend of a topic area. However, with the coming of information explosion, consuming such a large number of data only by human seems to be inefficient. Therefore, it is important to develop a method to help users observe the evolution of research topics. In this study, we propose a novel citation network for detecting research trend to replace the past citation network that use a single document as a node and the citation relationships between
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"Topics in dynamical processes in networked objects." 2008. http://library.cuhk.edu.hk/record=b5896855.

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Lee, Kwan Ho = 探討網絡上的若干動態過程 / 李鈞浩.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2008.<br>Includes bibliographical references (leaves 114-118).<br>Abstracts in English and Chinese.<br>Lee, Kwan Ho = Tan tao wang luo shang de ruo gan dong tai guo cheng / Li Junhao.<br>Chapter 1 --- Overview --- p.1<br>Chapter 2 --- Networks --- p.5<br>Chapter 2.1 --- Describing Networks --- p.5<br>Chapter 2.1.1 --- Adjacency Matrix --- p.6<br>Chapter 2.1.2 --- "Degree, Degree Distribution and Mean Degree" --- p.6<br>Chapter 2.1.3 --- Clustering Coefficient --- p.7<br>Chapter 2.1.4 --- "Shortest Pa
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Books on the topic "Topic evolution networks"

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Verloo, Nanke, and Luca Bertolini, eds. Seeing the City. Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789463728942.

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The city is a complex object. Some researchers look at its shape, others at its people, animals, ecology, policy, infrastructures, buildings, history, art, or technical networks. Some researchers analyse processes of in- or exclusion, gentrification, or social mobility; others biological evolution, traffic flows, or spatial development. Many combine these topics or add still more topics beyond this list. Some projects cross the boundaries of research and practice and engage in action research, while others pursue knowledge for the sake of curiosity. This volume embraces this variety of perspec
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Poluhina, Anna, Marina Sheresheva, and Vladimir Lezhnin. Management in the tourism industry. INFRA-M Academic Publishing LLC., 2024. https://doi.org/10.12737/1896454.

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The textbook covers the topics of the course "Management in the tourism industry" from the perspective of understanding the basic principles and problems of management of organizations in the tourism industry. The issues that help to understand the evolution of ideas and modern approaches of management theory and practice in relation to the tourism industry are highlighted. The issues related to international trends in the development of the tourism market, the formation of new conditions for the development of the tourism industry in the 21st century and the corresponding adaptation of the cl
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The Myc/Max/Mad Transcription Factor Network (Current Topics in Microbiology and Immunology). Springer, 2006.

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R. Fritz, Jason. China's Cyber Warfare. Published by Lexington Books, 2017. https://doi.org/10.5040/9781666988178.

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The turn of the century was accompanied by two historically significant phenomena. One was the emergence of computer networks as a vital component of advanced militaries and interdependent global economic systems. The second concerned China’s rise on the global stage through economic reforms that led to sustained growth and military modernization. At the same time, Chinese government policies and actions have drawn international criticisms including persistent allegations of online espionage, domestic Internet censorship, and an increased military capability, all of which utilize computer netw
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Prescott, Tony J., and Leah Krubitzer. Evo-devo. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0008.

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This chapter explores how principles underlying natural evo-devo (evolution and development) continue to inspire the design of artificial systems from models of cell growth through to simulated three-dimensional evolved creatures. Research on biological evolvability shows that phenotypic outcomes depend on multiple interactions across different organizational levels—the adult organism is the outcome of a series of genetic cascades modulated in time and space by the wider embryological, bodily, and environmental context. This chapter reviews evo-devo principles discovered in biology and explore
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Halassa, Michael M., ed. The Thalamus. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108674287.

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The thalamus is a key structure in the mammalian brain, providing a hub for communication within and across distributed forebrain networks. Research in this area has undergone a revolution in the last decade, with findings that suggest an expanded role for the thalamus in sensory processing, motor control, arousal regulation, and cognition. Moving beyond previous studies of anatomy and cell neurochemistry, scientists have expanded into investigations of cognitive function, and harness new methods and theories of neural computation. This book provides a survey of topics at the cutting edge of t
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Matthews, Joseph, and Carson Block. Library Information Systems. 2nd ed. Libraries Unlimited, 2019. http://dx.doi.org/10.5040/9798400679124.

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Information systems are central to libraries, and managing information systems is critical to serving library communities. Both a textbook for LIS courses and a handbook for practitioners, this volume thoroughly addresses modern libraries' challenges of integrating information technology. Written by Joseph R. Matthews and Carson Block, both experts on library information systems, this book describes the evolution of library information systems, their enabling technologies, and today's dynamic IT marketplace. It explains specific technologies and related topics, including standards and standard
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Chow, Peter C. Taiwan in the Global Economy. Greenwood Publishing Group, Inc., 2002. http://dx.doi.org/10.5040/9798216022121.

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A role model for late industrializing countries, Taiwan provides unique and interesting development lessons for third world countries. Once a poverty-stricken, resource-poor, technologically backward nation, Taiwan has become the hub of a global production network in many high tech industries with increasing significance in the world economy. In ten outstanding essays, written by highly respected economists, this book analyzes Taiwan's postwar economic development path, providing a valuable case study of its structural transformation from a labor-intensive to a technology-intensive economy. Th
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Child, John, David Faulkner, Stephen Tallman, and Linda Hsieh. Cooperative Strategy. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198814634.001.0001.

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Cooperation has become the leading strategy adopted by business and other organizations. It is taking on new forms that are adapted to changing market expectations and technological possibilities in the rapidly evolving business environment. This new edition of Cooperative Strategy provides a comprehensive view of the practical and theoretical literature concerning cooperative strategies, and the alliance and network organizational forms that are the enablers of these strategies. It takes the reader through the stages of developing a cooperative alliance, from choosing a cooperative form and s
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Duhaime, Irene M., Michael A. Hitt, and Majorie A. Lyles, eds. Strategic Management. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190090883.001.0001.

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This contributed volume provides the knowledge portfolio for the Strategic Management field. Strategic Management has experienced significant growth as a research discipline and builds on strong theoretical and empirical research to provide valuable knowledge for managerial practice. The book is designed to capture the rich breadth and depth of knowledge in the field as well as insightful examinations of critical topics for the future and opportunities for future research (50 percent of the focus). Such information and knowledge are critical for all current and future scholars in the field and
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Book chapters on the topic "Topic evolution networks"

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Rahimi, Hamed, Hubert Naacke, Camelia Constantin, and Bernd Amann. "ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives." In Complex Networks & Their Applications XII. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53472-0_28.

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Pacelli, Vincenzo, Ida Claudia Panetta, and Maria Melania Povia. "Systemic Risk and Network Science: A Bibliometric and Systematic Review." In New Economic Windows. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64916-5_2.

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AbstractEstimating systemic risk in networks of financial institutions is increasingly a challenge in policymaking. The complexity of financial networks may increase the difficulty of mitigating systemic risk and how the topology of connections can propagate the failure of an individual entity through the network in the system. Our study’s primary purpose is to apply the bibliometric techniques and the systematic review method to understand the evolution of research on systemic risk and interconnectedness among financial markets and institutions and highlight the literature’s progress during t
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Le Coze, Jean-Christophe. "Safety and Subcontracting." In SpringerBriefs in Applied Sciences and Technology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35163-1_1.

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AbstractThe aim of this introductory chapter is to provide a description of the evolving operating landscape of safety-critical systems (e.g. aviation, chemical and nuclear industries, railway) in the past two to three decades, towards network configurations based on contracting out. The topic of this book is strongly connected to this evolution and our understanding of its consequences for safety. The chapter situates the rise of these network configurations in the context of the advent of what has been described as globalisation, a phenomenon shaped by the liberalisation of trade and finance
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Sangiorgio, Matteo. "Deep Learning in Multi-step Forecasting of Chaotic Dynamics." In Special Topics in Information Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85918-3_1.

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AbstractThe prediction of chaotic dynamical systems’ future evolution is widely debated and represents a hot topic in the context of nonlinear time series analysis. Recent advances in the field proved that machine learning techniques, and in particular artificial neural networks, are well suited to deal with this problem. The current state-of-the-art primarily focuses on noise-free time series, an ideal situation that never occurs in real-world applications. This chapter provides a comprehensive analysis that aims at bridging the gap between the deterministic dynamics generated by archetypal c
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Tangi, Marco. "Dynamic Sediment Connectivity Modelling for Strategic River Basin Planning." In Special Topics in Information Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_3.

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AbstractSediment connectivity is a distributed property of river systems that emerges from the connected transfer of sediment between multiple sources and sinks. Its disruption, brought by anthropic disturbances, can have severe and unforeseen consequences on both fluvial ecosystems and human livelihood. Modeling network-scale sediment connectivity provides a foundational understanding of river processes and their response to new pressures and can be used to forecast future system evolutions. In this chapter, we present the basin-scale, dynamic sediment connectivity model D-CASCADE (Dynamic CA
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Stadler, Peter F. "Evolution of RNA-Based Networks." In Current Topics in Microbiology and Immunology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/82_2015_470.

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Zhou, Qingling, Genying Wang, and Haiqiang Chen. "A Topic Evolution Model Based on Microblog Network." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7262-5_89.

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Yang, Yang, and Yunong Mao. "Tourism Network Public Opinion Topic Mining and Evolution Analysis." In Advances in Social Science, Education and Humanities Research. Atlantis Press SARL, 2025. https://doi.org/10.2991/978-2-38476-400-6_21.

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Bioglio, Livio, Ruggero G. Pensa, and Valentina Rho. "TrAnET: Tracking and Analyzing the Evolution of Topics in Information Networks." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71273-4_46.

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Valladolid, Juan D., Paul Ortiz, Steven Castillo, and Carlos Ochoa. "Comprehensive Mapping and Simulation Approaches for Urban Scenarios for Autonomous Vehicles Operation." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87065-1_19.

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Abstract Autonomous driving has been one of the most popular and challenging topics in recent years. Researchers striving for full autonomy have employed a variety of sensors, such as Light Detection and Ranging (LiDAR), cameras, inertial measurement units (IMU), and GPS, along with developing intelligent algorithms for their effective application. In addition to these advancements, the creation of high-precision maps has gained significant attention. These maps play a crucial role in localization using point clouds and in detailing the operational environment by generating routes and identify
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Conference papers on the topic "Topic evolution networks"

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Jung, Sukhwan, and Aviv Segev. "Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020287.

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Zehnalova, S., Z. Horak, M. Kudelka, and V. Snasel. "Evolution of Author's Topic in Authorship Network." In 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). IEEE, 2012. http://dx.doi.org/10.1109/asonam.2012.208.

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Liang, Wei, Zixian Lu, Qun Jin, Yonghua Xiong, and Min Wu. "Modeling of Research Topic Evolution Associated with Social Networks of Researchers." In 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom). IEEE, 2015. http://dx.doi.org/10.1109/uic-atc-scalcom-cbdcom-iop.2015.213.

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Guo, Tinghao, Jiarui Xu, Yue Sun, Yilin Dong, Neal E. Davis, and James T. Allison. "Network Analysis of Design Automation Literature." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67361.

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In this paper we present a study of citation and co-authorship networks for articles from the ASME Design Automation Conference (DAC) during the years 2002–2015. We identify key authors, show that the co-authorship network exhibits the small world network property, and reveal other insights from network structure. Results from two topic modeling methods are presented. A frequency-based model was developed to explore DAC topic distribution and evolution. Citation analysis was also conducted for each core topic. A correlation matrix and association rule mining were used to discover topic relatio
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Zhao, Yunwei, Can Wang, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, and Min Shu. "Beyond the Power of Mere Repetition: Forms of Social Communication on Twitter through the Lens of Information Flows and Its Effect on Topic Evolution." In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019. http://dx.doi.org/10.1109/ijcnn.2019.8852290.

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Besharatloo, Mohammad, Atiye Rahimizadeh, and Masoud Besharatloo. "Hybrid Intrusion Detection Model for Computer Networks." In 11th International Conference on Signal Image Processing and Multimedia. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130906.

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Intrusion detection is an important research topic in network security because of increasing growth in the use of computer network services. Intrusion detection is done with the aim of detecting the unauthorized use or abuse in the networks and systems by the intruders. Therefore, the intrusion detection system is an efficient tool to control the user's access through some predefined regulations. Since, the data used in intrusion detection system has high dimension, a proper representation is required to show the basis structure of this data. Therefore, it is necessary to eliminate the redunda
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Hakimova, Aida. "Network Approach for Visualizing the Evolution of the Research of Cross-lingual Semantic Similarity." In International Conference "Computing for Physics and Technology - CPT2020". Bryansk State Technical University, 2020. http://dx.doi.org/10.30987/conferencearticle_5fce2773d960b0.37534641.

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The paper is devoted to the problem of the bibliometric study of publications on the topic “Cross-lingual Semantic Similarity”, available in the Dimensions database. Visualization of scientific networks showed fragmentation of research, limited interaction of organizations. Leading countries, leading organizations and authors are highlighted. Overlay visualization allowed us to assess the trends in citing authors. The expansion of the geography of research is shown. For international cooperation, the uniformity of semantic approaches to describing the concepts of critical infrastructure, incid
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Peres, Leandro, Pablo Cecilio, Francielly Rodrigues, Nícollas Silva, and Leonardo Rocha. "An overview of Brazilian researches in the Computer Science field in last years." In VII Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/kdmile.2019.8783.

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Recently, most traditional market services have joined online service platforms. Despite the practicality achieved, such services eventually bring a large amount of data to the Web. In this sense, data analysis, data engi- neering, and data science activities have become extremely necessary. In general, they can extract extra information about systems and users, allowing the owners to produce insights and analyze patterns. Then, we propose an evalua- tion methodology to be applied in the online scenario of registration of publications and scientific productions, such as ResearchGate and Lattes
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Ju, Wei, Siyu Yi, Yifan Wang, et al. "A Survey of Data-Efficient Graph Learning." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/896.

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Graph-structured data, prevalent in domains ranging from social networks to biochemical analysis, serve as the foundation for diverse real-world systems. While graph neural networks demonstrate proficiency in modeling this type of data, their success is often reliant on significant amounts of labeled data, posing a challenge in practical scenarios with limited annotation resources. To tackle this problem, tremendous efforts have been devoted to enhancing graph machine learning performance under low-resource settings by exploring various approaches to minimal supervision. In this paper, we intr
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Haichen, Zhou, Jorge Gulín-González, and Chen Yunwei. "Application of Molecular Docking Technology in Drug Discovery Based on Bibliometric and Patent Analysis." In 20th International Conference on Scientometrics & Informetrics. Institute for Informatics and Automation Problems of NAS RA, 2025. https://doi.org/10.51408/issi2025_143.

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In the field of molecular modeling, molecular docking (MD) is a method which predicts the preferred orientation of one molecule to a second when bound to each other to form a stable complex. Knowledge of the preferred orientation in turn may be used to predict the strength of association or binding affinity between two molecules using scoring functions. MD is frequently used to predict the binding orientation of small molecule drugs candidates to their protein targets in order to in turn predict the affinity and activity of the small molecules. MD plays an important role in the rational design
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Reports on the topic "Topic evolution networks"

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Savu, Alin, Bogdan Pălici, Maria Trifon, and Cristian Georgescu. Public Libraries: Dynamics of Infrastructure and Access. National Institute for Cultural Research and Training, 2023. http://dx.doi.org/10.61789/pub.cdi.bibp.en.23.

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"This publication presents the last decades’ dynamics of some essential aspects regarding the network of public libraries in Romania. The first chapter illustrates the territorial distribution of public libraries on an interactive map with disaggregation down to locality level. Subsequently, the chapter presents a dynamic comparison of the evolution of public libraries at county level between 1995 and 2022. Next, the second chapter interactively addresses the complementary topic of the population’s access to the public library in the locality of residence. Over the past three decades, the numb
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Payment Systems Report - June of 2020. Banco de la República de Colombia, 2021. http://dx.doi.org/10.32468/rept-sist-pag.eng.2020.

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With its annual Payment Systems Report, Banco de la República offers a complete overview of the infrastructure of Colombia’s financial market. Each edition of the report has four objectives: 1) to publicize a consolidated account of how the figures for payment infrastructures have evolved with respect to both financial assets and goods and services; 2) to summarize the issues that are being debated internationally and are of interest to the industry that provides payment clearing and settlement services; 3) to offer the public an explanation of the ideas and concepts behind retail-value paymen
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