標(biāo)題: Titlebook: Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics; Atsushi Nara,Ming-Hsiang Tsou Book 2021 Springer Natur [打印本頁] 作者: malignant 時間: 2025-3-21 19:42
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書目名稱Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics讀者反饋學(xué)科排名
作者: 倔強(qiáng)一點(diǎn) 時間: 2025-3-21 21:02
Theorizing Social Media: A Formalization of the Multilevel Model of Meme Diffusion 2.0 (M3D2.0),iscovered. This essay extends a formative conceptualization of social media communication as meme diffusion into a propositional model, animated largely by evolutionary and attention economy explanatory metaphors. The result is an integrative model formalized in 18 propositions, indicating that mult作者: 貧困 時間: 2025-3-22 00:43 作者: 承認(rèn) 時間: 2025-3-22 05:55
Research Trends in Social Media/Big Data with the Emphasis on Data Collection and Data Management: prerequisite for Human Dynamics Research utilizing Social Media/Big Data. The ever-changing academic landscape of this field has been characterized by rapid expansion of various applications and dynamic collaboration across multiple disciplines, yielding an increasing number of publications. This ch作者: 暗諷 時間: 2025-3-22 09:59
Similarity Measurement on Human Mobility Data with Spatially Weighted Structural Similarity Index (a variety of data sources, and each describes unique mobility characteristics. Revealing similarity and difference in various data sources facilitates grasping comprehensive human mobility patterns. This study introduces a new method to measure similarities on two origin–destination (OD) matrices by作者: Anticonvulsants 時間: 2025-3-22 16:20 作者: Anticonvulsants 時間: 2025-3-22 20:12
Learning Dependence Relationships of Evacuation Decision Making Factors from Tweets,anding how they affect individuals’ evacuation decisions can help emergency response organizations improve evacuation plans and communication strategies. Conventionally, researchers have studied human evacuation behaviors by conducting post-disaster surveys, which could be costly, be?limited by samp作者: Engulf 時間: 2025-3-22 21:25
Examining Spatiotemporal and Sentiment Patterns of Evacuation Behavior During 2017 Hurricane Harveywledged that a more comprehensive understanding of the evacuation behaviors will significantly mitigate the loss of natural hazards, and can also improve the management process for corresponding agencies. Social media platform with user-generated content provides great potentials in better understan作者: 污穢 時間: 2025-3-23 04:00
Sentiment Analysis of Social Media Response and Spatial Distribution Patterns on the COVID-19 Outbrlion COVID-19 related tweets classified as fear, anger, and joy in four of Italy’s geographic regions to investigate whether socioeconomic factors and sentiments of tweets shift over the course of the pandemic and when lagged to specific policy shifts before and after the lock-down. The result shows作者: 高貴領(lǐng)導(dǎo) 時間: 2025-3-23 06:08 作者: 無法解釋 時間: 2025-3-23 12:16 作者: squander 時間: 2025-3-23 16:41 作者: dry-eye 時間: 2025-3-23 20:32 作者: monogamy 時間: 2025-3-23 22:53
The Future of Human Dynamics Study: Research Challenges and Opportunities During and After the COVIemic in the human history and opens many research opportunities for the study of Human Dynamics. This chapter provides some representative examples and suggestions for the future development in both short term and long-term periods. The short-term research agenda includes: (1) establishing a transdi作者: 宿醉 時間: 2025-3-24 05:51 作者: 退出可食用 時間: 2025-3-24 08:00 作者: Mystic 時間: 2025-3-24 11:25
https://doi.org/10.1007/978-3-030-83010-6Social Media; Human Dynamics; Spatial and Spatiotemporal Data Analytics; Big Data; Geovisualization; GIS; 作者: CUMB 時間: 2025-3-24 16:10
Introduction and Basic Concepts,ses on the understanding of dynamic patterns, relationships, narratives, changes, and transitions of human activities, behaviors, communications, and interactions. This book, entitled ., discusses theoretical backgrounds, techniques and methodologies, and applications of the current state-of-the-art作者: angina-pectoris 時間: 2025-3-24 23:01 作者: crutch 時間: 2025-3-25 02:02
Raymond R. Myers,Carl J. KnaussNSs, this review examines relevant scholarship published since 2004. Content of relevant articles is summarized in terms of examined contexts, involved disciplines (e.g., public health, communication), methodological approaches, use of theory, and solutions presently offered for addressing this impo作者: 青石板 時間: 2025-3-25 07:09
https://doi.org/10.1007/978-1-4684-3635-8prerequisite for Human Dynamics Research utilizing Social Media/Big Data. The ever-changing academic landscape of this field has been characterized by rapid expansion of various applications and dynamic collaboration across multiple disciplines, yielding an increasing number of publications. This ch作者: UTTER 時間: 2025-3-25 10:22 作者: gerontocracy 時間: 2025-3-25 13:02
https://doi.org/10.1007/978-94-011-2136-1nderstand social perception from local residents. Although a large number of evacuation models has been reported in the literature, many used census survey data which represent only the nighttime population distribution. To fill this research gap, this study introduces a novel data integration frame作者: 過份 時間: 2025-3-25 16:56
Polymer Electrolyte Fuel Cell Durabilityanding how they affect individuals’ evacuation decisions can help emergency response organizations improve evacuation plans and communication strategies. Conventionally, researchers have studied human evacuation behaviors by conducting post-disaster surveys, which could be costly, be?limited by samp作者: 勾引 時間: 2025-3-25 22:24 作者: d-limonene 時間: 2025-3-26 01:57
https://doi.org/10.1007/978-3-662-59837-5lion COVID-19 related tweets classified as fear, anger, and joy in four of Italy’s geographic regions to investigate whether socioeconomic factors and sentiments of tweets shift over the course of the pandemic and when lagged to specific policy shifts before and after the lock-down. The result shows作者: 遍及 時間: 2025-3-26 06:25
https://doi.org/10.1007/978-3-662-59841-2line communities. Geo-tagged and time-stamped data generated from these online activities could inform public health practitioners of the population’s information needs, opinions, attitudes, and behaviors on specific health issues, and health status, becoming an important source of public health sur作者: 嚴(yán)重傷害 時間: 2025-3-26 10:20 作者: paleolithic 時間: 2025-3-26 14:38
Time and Temperature Behavior of Polymers,th neighbors. How consistent is community connection for racial/ethnic minorities within ethnic neighborhoods? Does this community connection extend beyond these neighborhoods? To address these questions, I utilize the 2014/15 wave of the Public Health Management Corporations (PHMC) Southeastern Pen作者: cruise 時間: 2025-3-26 17:32 作者: 極大的痛苦 時間: 2025-3-26 22:01 作者: arthroscopy 時間: 2025-3-27 04:53
Atsushi Nara,Ming-Hsiang TsouHighlights geospatial research using social media and big data.Introduces methodologies and techniques on how to handle and analyze social media and big data.Exhibits various research examples from in作者: Matrimony 時間: 2025-3-27 05:40 作者: 聚集 時間: 2025-3-27 11:27
2523-7780 edia and big data.Exhibits various research examples from in.This book discusses theoretical backgrounds, techniques and methodologies, and applications of the current state-of-the-art human dynamics research utilizing social media and geospatial big data. It describes various forms of social media 作者: 通便 時間: 2025-3-27 14:26
Time and Temperature Behavior of Polymers,e 2011–2015 American Community Survey. While I find that Black community connection is generally weaker outside of mostly Black neighborhoods, it is not consistently strong in these neighborhoods, either. For the Hispanic population, even more variation exists within and beyond mostly non-White neighborhoods.作者: modest 時間: 2025-3-27 19:17
Placing Community: Exploring Racial/Ethnic Community Connection Within and Between Racial/Ethnic Nee 2011–2015 American Community Survey. While I find that Black community connection is generally weaker outside of mostly Black neighborhoods, it is not consistently strong in these neighborhoods, either. For the Hispanic population, even more variation exists within and beyond mostly non-White neighborhoods.作者: chiropractor 時間: 2025-3-28 00:33
Book 2021tilizing social media and geospatial big data. It describes various forms of social media and big data with location information, theory development, data collection and management techniques, and analytical methodologies to conduct human dynamics research including geographic information systems (G作者: 兇兆 時間: 2025-3-28 05:14 作者: 闡釋 時間: 2025-3-28 08:30
Theorizing Social Media: A Formalization of the Multilevel Model of Meme Diffusion 2.0 (M3D2.0),ses (polymemic). The model integrates extensive cross-disciplinary research and manifold theoretical influences in the interest of demonstrating a process of theory construction in the context of social media and new media.作者: 后退 時間: 2025-3-28 13:00
Research on Misinformation and Social Networking Sites,ation of conceptualizations of misinformation and increased consistency in usage of terms; (3) greater integration of theory for enhancing understanding of how misinformation spreads and how to best correct misinformation once it proliferates on SNSs; and (4) promotion of interdisciplinary collabora作者: 鐵塔等 時間: 2025-3-28 15:22 作者: 樂器演奏者 時間: 2025-3-28 18:56 作者: 采納 時間: 2025-3-28 23:17 作者: AIL 時間: 2025-3-29 04:51 作者: Induction 時間: 2025-3-29 09:23 作者: biopsy 時間: 2025-3-29 15:20
Sentiment Analysis of Social Media Response and Spatial Distribution Patterns on the COVID-19 Outbr and delays implemented by governments when addressing the emergency, lack of response to a nationwide emergency and communication plan, and decentralization of the health care system. By tracking and analyzing health communications and their impacts, this study demonstrates value of social media an作者: Lament 時間: 2025-3-29 17:55
Conceptualizing an Ecological Model of Google Search and Twitter Data in Public Health,we construct an ecological model of Google Search and Twitter data for public health surveillance by differentiating message sources, goals, content, and geo- and time-stamped information. This model monitors public attention of health issues by analyzing information flow from celebrities, media, or作者: Cytology 時間: 2025-3-29 21:31
A Case Study in Belief Surveillance, Sentiment Analysis, and Identification of Informational Targetes of this tool include monitoring social messages about e-cigarettes for combating the spread of tobacco-related misinformation and disinformation, and detecting and targeting informational needs of communities for intervention.作者: Constant 時間: 2025-3-30 01:58
Exploring Gentrification Through Social Media Data and Text Clustering Techniques,om geotagged Instagram posts by employing text processing and text clustering techniques. The spatial distribution of gentrification ambiance over years revealed that areas observed with a sense of gentrification closely correspond to the human-perceived gentrifying areas. Furthermore, clustering re作者: 暫時過來 時間: 2025-3-30 06:44
The Future of Human Dynamics Study: Research Challenges and Opportunities During and After the COVIudes: (1) the percentage of work-from-home employees and online education (synchronic or asynchronized) students will increase dramatically; (2) analyzing the dynamic movements of consumer products, and mixed digital online services; (3) using Internet of Things devices to study Human Dynamics; (4) 作者: VEIL 時間: 2025-3-30 09:51
Spatial Distribution Patterns of Geo-tagged Twitter Data Created by Social Media Bots and Recommend作者: 凝乳 時間: 2025-3-30 16:05 作者: 同步信息 時間: 2025-3-30 18:40
Book 2021iffusion. By providing theoretical foundations, solid empirical research backgrounds, techniques, and methodologies as well as application examples from diverse interdisciplinary fields, this book will be a valuable resource to students, researchers and practitioners who utilize or plan to employ social media and big data in their work..作者: Ligneous 時間: 2025-3-30 23:14
