Mining Human Mobility In Location Based Social Networks

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Mining Human Mobility in Location-Based Social Networks

Author : Huiji Gao
Publisher : Springer Nature
ISBN 13 : 3031019083
Total Pages : 99 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Mining Human Mobility in Location-Based Social Networks by : Huiji Gao

Download or read book Mining Human Mobility in Location-Based Social Networks written by Huiji Gao and published by Springer Nature. This book was released on 2022-06-01 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience. Typical location-based social networking sites allow a user to "check in" at a real-world POI (point of interest, e.g., a hotel, restaurant, theater, etc.), leave tips toward the POI, and share the check-in with their online friends. The check-in action bridges the gap between real world and online social networks, resulting in a new type of social networks, namely location-based social networks (LBSNs). Compared to traditional GPS data, location-based social networks data contains unique properties with abundant heterogeneous information to reveal human mobility, i.e., "when and where a user (who) has been to for what," corresponding to an unprecedented opportunity to better understand human mobility from spatial, temporal, social, and content aspects. The mining and understanding of human mobility can further lead to effective approaches to improve current location-based services from mobile marketing to recommender systems, providing users more convenient life experience than before. This book takes a data mining perspective to offer an overview of studying human mobility in location-based social networks and illuminate a wide range of related computational tasks. It introduces basic concepts, elaborates associated challenges, reviews state-of-the-art algorithms with illustrative examples and real-world LBSN datasets, and discusses effective evaluation methods in mining human mobility. In particular, we illustrate unique characteristics and research opportunities of LBSN data, present representative tasks of mining human mobility on location-based social networks, including capturing user mobility patterns to understand when and where a user commonly goes (location prediction), and exploiting user preferences and location profiles to investigate where and when a user wants to explore (location recommendation), along with studying a user's check-in activity in terms of why a user goes to a certain location.

Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

Author : Tran Khanh Dang
Publisher : Springer Nature
ISBN 13 : 9811680620
Total Pages : 502 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications by : Tran Khanh Dang

Download or read book Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications written by Tran Khanh Dang and published by Springer Nature. This book was released on 2021-11-13 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 8th International Conference on Future Data and Security Engineering, FDSE 2021, held in Ho Chi Minh City, Vietnam, in November 2021.* The 28 full papers and 8 short were carefully reviewed and selected from 168 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; blockchain and access control; data analytics and healthcare systems; and short papers: security and data engineering. * The conference was held virtually due to the COVID-19 pandemic.

Point-of-Interest Recommendation in Location-Based Social Networks

Author : Shenglin Zhao
Publisher : Springer
ISBN 13 : 9811313490
Total Pages : 101 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Point-of-Interest Recommendation in Location-Based Social Networks by : Shenglin Zhao

Download or read book Point-of-Interest Recommendation in Location-Based Social Networks written by Shenglin Zhao and published by Springer. This book was released on 2018-07-13 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically introduces Point-of-interest (POI) recommendations in Location-based Social Networks (LBSNs). Starting with a review of the advances in this area, the book then analyzes user mobility in LBSNs from geographical and temporal perspectives. Further, it demonstrates how to build a state-of-the-art POI recommendation system by incorporating the user behavior analysis. Lastly, the book discusses future research directions in this area. This book is intended for professionals involved in POI recommendation and graduate students working on problems related to location-based services. It is assumed that readers have a basic knowledge of mathematics, as well as some background in recommendation systems.

Big Data Research for Social Sciences and Social Impact

Author : Miltiadis D. Lytras
Publisher : MDPI
ISBN 13 : 3039282204
Total Pages : 416 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Big Data Research for Social Sciences and Social Impact by : Miltiadis D. Lytras

Download or read book Big Data Research for Social Sciences and Social Impact written by Miltiadis D. Lytras and published by MDPI. This book was released on 2020-03-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Cities as Spatial and Social Networks

Author : Xinyue Ye
Publisher : Springer
ISBN 13 : 3319953516
Total Pages : 238 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Cities as Spatial and Social Networks by : Xinyue Ye

Download or read book Cities as Spatial and Social Networks written by Xinyue Ye and published by Springer. This book was released on 2018-07-24 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest, cutting-edge scholarship on integrating social network and spatial analyses in the built environment. It sheds light on conceptualization and Implementation of such integration, integration for intra-city level analysis, as well as integration for inter-city level analysis. It explores the use of new data sources concerning human and urban dynamics and provides a discussion of how social network and spatial analyses could be synthesized for a more nuanced understanding of the built environment. As such this book will be a valuable resource for scholars focusing on city-related networks in a number of ‘urban’ disciplines, including but not limited to urban geography, urban informatics, urban planning, urban sociology, and urban studies.

Detecting Fake News on Social Media

Author : Kai Shu
Publisher : Springer Nature
ISBN 13 : 3031019156
Total Pages : 121 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Detecting Fake News on Social Media by : Kai Shu

Download or read book Detecting Fake News on Social Media written by Kai Shu and published by Springer Nature. This book was released on 2022-05-31 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information: http://dmml.asu.edu/dfn/

Neural Information Processing

Author : Derong Liu
Publisher : Springer
ISBN 13 : 3319701398
Total Pages : 943 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Neural Information Processing by : Derong Liu

Download or read book Neural Information Processing written by Derong Liu and published by Springer. This book was released on 2017-11-07 with total page 943 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.

Workshop Proceedings of the 13th International AAAI Conference on Web and Social Media

Author : Emilio Zagheni
Publisher : Frontiers Media SA
ISBN 13 : 2889639118
Total Pages : 118 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Workshop Proceedings of the 13th International AAAI Conference on Web and Social Media by : Emilio Zagheni

Download or read book Workshop Proceedings of the 13th International AAAI Conference on Web and Social Media written by Emilio Zagheni and published by Frontiers Media SA. This book was released on 2020-07-31 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Information Science and Applications 2018

Author : Kuinam J. Kim
Publisher : Springer
ISBN 13 : 9811310564
Total Pages : 691 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Information Science and Applications 2018 by : Kuinam J. Kim

Download or read book Information Science and Applications 2018 written by Kuinam J. Kim and published by Springer. This book was released on 2018-07-23 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected papers from the 9th International Conference on Information Science and Applications (ICISA 2018) and provides a snapshot of the latest issues encountered in technical convergence and convergences of security technology. It explores how information science is core to most current research, industrial and commercial activities and consists of contributions covering topics including Ubiquitous Computing, Networks and Information Systems, Multimedia and Visualization, Middleware and Operating Systems, Security and Privacy, Data Mining and Artificial Intelligence, Software Engineering, and Web Technology. The proceedings introduce the most recent information technology and ideas, applications and problems related to technology convergence, illustrated through case studies, and reviews converging existing security techniques. Through this volume, readers will gain an understanding of the current state-of-the-art information strategies and technologies of convergence security. The intended readership includes researchers in academia, industry and other research institutes focusing on information science and technology.

Human Behavior Analysis: Sensing and Understanding

Author : Zhiwen Yu
Publisher : Springer Nature
ISBN 13 : 9811521093
Total Pages : 277 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Human Behavior Analysis: Sensing and Understanding by : Zhiwen Yu

Download or read book Human Behavior Analysis: Sensing and Understanding written by Zhiwen Yu and published by Springer Nature. This book was released on 2020-02-29 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade, there has been a growing interest in human behavior analysis, motivated by societal needs such as security, natural interfaces, affective computing, and assisted living. However, the accurate and non-invasive detection and recognition of human behavior remain major challenges and the focus of many research efforts. Traditionally, in order to identify human behavior, it is first necessary to continuously collect the readings of physical sensing devices (e.g., camera, GPS, and RFID), which can be worn on human bodies, attached to objects, or deployed in the environment. Afterwards, using recognition algorithms or classification models, the behavior types can be identified so as to facilitate advanced applications. Although such traditional approaches deliver satisfactory performance and are still widely used, most of them are intrusive and require specific sensing devices, raising issues such as privacy and deployment costs. In this book, we will present our latest findings on non-invasive sensing and understanding of human behavior. Specifically, this book differs from existing literature in the following senses. Firstly, we focus on approaches that are based on non-invasive sensing technologies, including both sensor-based and device-free variants. Secondly, while most existing studies examine individual behaviors, we will systematically elaborate on how to understand human behaviors of various granularities, including not only individual-level but also group-level and community-level behaviors. Lastly, we will discuss the most important scientific problems and open issues involved in human behavior analysis.

Correlation Clustering

Author : Francesco Bonchi
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636393241
Total Pages : 149 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Correlation Clustering by : Francesco Bonchi

Download or read book Correlation Clustering written by Francesco Bonchi and published by Morgan & Claypool Publishers. This book was released on 2022-03-08 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determined. Correlation clustering is perhaps the most natural formulation of clustering: as it just needs a definition of similarity, its broad generality makes it applicable to a wide range of problems in different contexts, and, particularly, makes it naturally suitable to clustering structured objects for which feature vectors can be difficult to obtain. Despite its simplicity, generality, and wide applicability, correlation clustering has so far received much more attention from an algorithmic-theory perspective than from the data-mining community. The goal of this lecture is to show how correlation clustering can be a powerful addition to the toolkit of a data-mining researcher and practitioner, and to encourage further research in the area.

Exploratory Causal Analysis with Time Series Data

Author : James M. McCracken
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627059342
Total Pages : 149 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Exploratory Causal Analysis with Time Series Data by : James M. McCracken

Download or read book Exploratory Causal Analysis with Time Series Data written by James M. McCracken and published by Morgan & Claypool Publishers. This book was released on 2016-03-31 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments. Data analysis techniques are required for identifying causal information and relationships directly from such observational data. This need has led to the development of many different time series causality approaches and tools including transfer entropy, convergent cross-mapping (CCM), and Granger causality statistics. A practicing analyst can explore the literature to find many proposals for identifying drivers and causal connections in time series data sets. Exploratory causal analysis (ECA) provides a framework for exploring potential causal structures in time series data sets and is characterized by a myopic goal to determine which data series from a given set of series might be seen as the primary driver. In this work, ECA is used on several synthetic and empirical data sets, and it is found that all of the tested time series causality tools agree with each other (and intuitive notions of causality) for many simple systems but can provide conflicting causal inferences for more complicated systems. It is proposed that such disagreements between different time series causality tools during ECA might provide deeper insight into the data than could be found otherwise.

Exploiting the Power of Group Differences

Author : Guozhu Dong
Publisher : Springer Nature
ISBN 13 : 303101913X
Total Pages : 135 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Exploiting the Power of Group Differences by : Guozhu Dong

Download or read book Exploiting the Power of Group Differences written by Guozhu Dong and published by Springer Nature. This book was released on 2022-05-31 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside of the computing discipline are also included. Emerging patterns (EPs) are useful in many ways. EPs can be used as features, as simple classifiers, as subpopulation signatures/characterizations, and as triggering conditions for alerts. EPs can be used in gene ranking for complex diseases since they capture multi-factor interactions. The length of EPs can be used to detect anomalies, outliers, and novelties. Emerging/contrast pattern based methods for clustering analysis and outlier detection do not need distance metrics, avoiding pitfalls of the latter in exploratory analysis of high dimensional data. EP-based classifiers can achieve good accuracy even when the training datasets are tiny, making them useful for exploratory compound selection in drug design. EPs can serve as opportunities in opportunity-focused boosting and are useful for constructing powerful conditional ensembles. EP-based methods often produce interpretable models and results. In general, EPs are useful for classification, clustering, outlier detection, gene ranking for complex diseases, prediction model analysis and improvement, and so on. EPs are useful for many tasks because they represent group differences, which have extraordinary power. Moreover, EPs represent multi-factor interactions, whose effective handling is of vital importance and is a major challenge in many disciplines. Based on the results presented in this book, one can clearly say that patterns are useful, especially when they are linked to issues of interest. We believe that many effective ways to exploit group differences' power still remain to be discovered. Hopefully this book will inspire readers to discover such new ways, besides showing them existing ways, to solve various challenging problems.

Mobile Social Networking

Author : Alvin Chin
Publisher : Springer Science & Business Media
ISBN 13 : 1461485797
Total Pages : 253 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Mobile Social Networking by : Alvin Chin

Download or read book Mobile Social Networking written by Alvin Chin and published by Springer Science & Business Media. This book was released on 2013-10-30 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of contextually aware, pervasive, distributed computing, and sensor networks to bridge the gap between the physical and online worlds is the basis of mobile social networking. This book shows how applications can be built to provide mobile social networking, the research issues that need to be solved to enable this vision, and how mobile social networking can be used to provide computational intelligence that will improve daily life. With contributions from the fields of sociology, computer science, human-computer interaction and design, this book demonstrates how mobile social networks can be inferred from users' physical interactions both with the environment and with others, as well as how users behave around them and how their behavior differs on mobile vs. traditional online social networks.

Data Mining and Big Data

Author : Ying Tan
Publisher : Springer
ISBN 13 : 3319618458
Total Pages : 544 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Data Mining and Big Data by : Ying Tan

Download or read book Data Mining and Big Data written by Ying Tan and published by Springer. This book was released on 2017-07-18 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control.

Elgar Encyclopedia of Law and Data Science

Author : Comandé, Giovanni
Publisher : Edward Elgar Publishing
ISBN 13 : 1839104597
Total Pages : 400 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Elgar Encyclopedia of Law and Data Science by : Comandé, Giovanni

Download or read book Elgar Encyclopedia of Law and Data Science written by Comandé, Giovanni and published by Edward Elgar Publishing. This book was released on 2022-02-18 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.

The Geography of Mobility, Wellbeing and Development in China

Author : Wenjie Wu
Publisher : Routledge
ISBN 13 : 1351623583
Total Pages : 221 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis The Geography of Mobility, Wellbeing and Development in China by : Wenjie Wu

Download or read book The Geography of Mobility, Wellbeing and Development in China written by Wenjie Wu and published by Routledge. This book was released on 2020-02-25 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. Today, there is unprecedented data availability, with detailed remote-sensed data on the built environment and rich mineable web-based sources in the form of social media, web mapping, information services and other sources of unstructured "big data". This book brings together a group of international contributors to consider the geographical implications of mobility, wellbeing and development within and across Chinese cities through location-based big data perspectives. The degree of urban sprawl, productive density and vibrancy can be reflected from location-based social media big data. The challenge is to identify, map and model these relationships to develop cities at different places in the urban hierarchical system that are more sustainable. This edited book aims to tackle these issues through two inter-related geographical scales: inter-city level and intra-city level. The text is designed for graduate courses in planning, geography, public policy and administration, and for international researchers who are involved in urban and regional economics and economic geography.