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Author: Fernando Conde Gutiérrez del Álamo Publisher: ISBN: 9788436278651 Category : Languages : es Pages : 0
Book Description
Big Data, topología e investigación social, orientado para los estudiantes y para los investigadores universitarios y empresariales que trabajan en el ámbito de las ciencias sociales, pretende ser un texto introductorio al debate sobre los usos del big data y de la inteligencia artificial en la investigación social y sus repercusiones en las metodologías y los estilos de trabajo de los investigadores en ciencias sociales. El libro aborda las distintas posiciones que unas y otras corrientes teóricas han desarrollado sobre el big data y la inteligencia artificial. Propone una caracterización del big data en el conjunto de las metodologías de la investigación social y, basándose en la larga experiencia de investigación del autor, desarrolla una aproximación al big data que respetando su singularidad sugiere, en el caso de la investigación con redes complejas, el uso de la topología como lenguaje de análisis y de acercamiento a otras líneas de investigación.
Author: Fernando Conde Gutiérrez del Álamo Publisher: ISBN: 9788436278651 Category : Languages : es Pages : 0
Book Description
Big Data, topología e investigación social, orientado para los estudiantes y para los investigadores universitarios y empresariales que trabajan en el ámbito de las ciencias sociales, pretende ser un texto introductorio al debate sobre los usos del big data y de la inteligencia artificial en la investigación social y sus repercusiones en las metodologías y los estilos de trabajo de los investigadores en ciencias sociales. El libro aborda las distintas posiciones que unas y otras corrientes teóricas han desarrollado sobre el big data y la inteligencia artificial. Propone una caracterización del big data en el conjunto de las metodologías de la investigación social y, basándose en la larga experiencia de investigación del autor, desarrolla una aproximación al big data que respetando su singularidad sugiere, en el caso de la investigación con redes complejas, el uso de la topología como lenguaje de análisis y de acercamiento a otras líneas de investigación.
Author: Bilal Abu-Salih Publisher: Springer Nature ISBN: 9813366524 Category : Business & Economics Languages : en Pages : 218
Book Description
This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.
Author: Mrutyunjaya Panda Publisher: CRC Press ISBN: 1351622587 Category : Business & Economics Languages : en Pages : 255
Book Description
Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools. This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.
Author: My T. Thai Publisher: Chapman and Hall/CRC ISBN: 9781498726849 Category : Business & Economics Languages : en Pages : 0
Book Description
The ultimate objective of this book is to provide the academic and industrial communities with an in-depth introduction to the recent advances in development, theory, and impacts of Big Data, tailored to applications in complex and social networks. Specifically, the book focuses on how to retrieve, store, manipulate and analyze data and how to develop new tools and techniques to study and visualize massive datasets in the domain of complex and social networks.
Author: Kwok Tai Chui Publisher: ISBN: 9783039282210 Category : Engineering (General). Civil engineering (General) Languages : en Pages : 416
Book Description
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.
Author: William J. Mitchell Publisher: MIT Press ISBN: 0262263688 Category : Architecture Languages : en Pages : 193
Book Description
How an electronically connected world will shape cities and urban relationships of the future. The global digital network is not just a delivery system for email, Web pages, and digital television. It is a whole new urban infrastructure—one that will change the forms of our cities as dramatically as railroads, highways, electric power supply, and telephone networks did in the past. In this lucid, invigorating book, William J. Mitchell examines this new infrastructure and its implications for our future daily lives. Picking up where his best-selling City of Bits left off, Mitchell argues that we must extend the definitions of architecture and urban design to encompass virtual places as well as physical ones, and interconnection by means of telecommunication links as well as by pedestrian circulation and mechanized transportation systems. He proposes strategies for the creation of cities that not only will be sustainable but will make economic, social, and cultural sense in an electronically interconnected and global world. The new settlement patterns of the twenty-first century will be characterized by live/work dwellings, 24-hour pedestrian-scale neighborhoods rich in social relationships, and vigorous local community life, complemented by far-flung configurations of electronic meeting places and decentralized production, marketing, and distribution systems. Neither digiphile nor digiphobe, Mitchell advocates the creation of e-topias—cities that work smarter, not harder.
Author: Andrew Turner Publisher: "O'Reilly Media, Inc." ISBN: 0596529953 Category : Computers Languages : en Pages : 54
Book Description
Neogeography combines the complex techniques of cartography and GIS and places them within reach of users and developers. This Short Cut introduces you to the growing number of tools, frameworks, and resources available that make it easy to create maps and share the locations of your interests and history. Learn what existing and emerging standards such as GeoRSS, KML, and Microformats mean; how to add dynamic maps and locations to your web site; how to pinpoint the locations of your online visitors; how to create genealogical maps and Google Earth animations of your family's ancestry; or how to geotag and share your travel photographs.
Author: Patricia Victor Publisher: Springer Science & Business Media ISBN: 9491216082 Category : Computers Languages : en Pages : 210
Book Description
This book describes research performed in the context of trust/distrust propagation and aggregation, and their use in recommender systems. This is a hot research topic with important implications for various application areas. The main innovative contributions of the work are: -new bilattice-based model for trust and distrust, allowing for ignorance and inconsistency -proposals for various propagation and aggregation operators, including the analysis of mathematical properties -Evaluation of these operators on real data, including a discussion on the data sets and their characteristics. -A novel approach for identifying controversial items in a recommender system -An analysis on the utility of including distrust in recommender systems -Various approaches for trust based recommendations (a.o. base on collaborative filtering), an in depth experimental analysis, and proposal for a hybrid approach -Analysis of various user types in recommender systems to optimize bootstrapping of cold start users.
Author: Benjamín Vargas-Quesada Publisher: Springer Science & Business Media ISBN: 3540697284 Category : Computers Languages : en Pages : 311
Book Description
This book presents a methodology for visualizing large scientific domains. Authors Moya-Anegón and Vargas-Queseda create science maps, so-called "scientograms", based on the interactions between authors and their papers through citations and co-citations, using approaches such as domain analysis, social networks, cluster analysis and pathfinder networks. The resulting scientograms offer manifold possibilities.
Author: Fernando Conde Gutiérrez del Álamo
Author: Fernando Conde Gutiérrez del Álamo
Author: Bilal Abu-Salih
Author: Mrutyunjaya Panda
Author: My T. Thai
Author: Kwok Tai Chui
Author: William J. Mitchell
Author: Andrew Turner
Author: Patricia Victor
Author: Benjamín Vargas-Quesada
Author: Joshua A. Fishman