Warning: Trying to access array offset on false in E:\WWW\html\user.php on line 119 Kawash Jalal, Agarwal Nitin, Цzyer Tansel Prediction and Inference from Social Networks and Social Media 9783319845531
Prediction and Inference from Social Networks and Social Media, Kawash Jalal, Agarwal Nitin, Цzyer Tansel
Автор: Jalal Kawash; Nitin Agarwal; Tansel ?zyer Название: Prediction and Inference from Social Networks and Social Media ISBN: 3319510487 ISBN-13(EAN): 9783319510484 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the challenges of social network and social media analysis in terms of prediction and inference. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection.
Автор: Pandey Babita, Khamparia Aditya Название: Hidden Link Prediction in Stochastic Social Networks ISBN: 1522590994 ISBN-13(EAN): 9781522590996 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 18810.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on the foremost techniques of hidden link predictions in stochastic social networks, including methods and approaches that involve similarity index techniques, matrix factorization, reinforcement, models, and graph representations and community detections.
Автор: Srinivas Virinchi; Pabitra Mitra Название: Link Prediction in Social Networks ISBN: 3319289217 ISBN-13(EAN): 9783319289212 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the context of link prediction indense networks, the text proposes similarity measures based on Markov inequalitydegree thresholding (MIDTs), which only consider nodes whose degree is above a thresholdfor a possible link.
Автор: Anna Atefeh Farzindar, Diana Inkpen Название: Natural Language Processing for Social Media ISBN: 1681738139 ISBN-13(EAN): 9781681738130 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14276.00 р. Наличие на складе: Поставка под заказ.
Описание: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents.
Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF).
In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.
Автор: Anna Atefeh Farzindar, Diana Inkpen Название: Natural Language Processing for Social Media ISBN: 1681738112 ISBN-13(EAN): 9781681738116 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11365.00 р. Наличие на складе: Поставка под заказ.
Описание: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents.
Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF).
In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.
Автор: Shalini R. Urs; Jin-Cheon Na; George Buchanan Название: Digital Libraries: Social Media and Community Networks ISBN: 3319035983 ISBN-13(EAN): 9783319035987 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 15th International Conference on Asia-Pacific Digital Libraries, ICADL 2013, held in Bangalore, India, in December 2013. The 15 revised full papers, 6 revised short papers and 10 poster papers were carefully reviewed and selected from 87 submissions.
Название: Networks, hacking and media - citams@30 ISBN: 1787696669 ISBN-13(EAN): 9781787696662 Издательство: Emerald Рейтинг: Цена: 16057.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sponsored by the Communication, Information Technologies, and Media Sociology section of the American Sociological Association (CITAMS), this volume celebrates the section`s thirtieth anniversary. It looks at the history of the section, reviews some of its most important themes, and sets the agenda for future discussion.
Автор: Reda Alhajj; H. Ulrich Hoppe; Tobias Hecking; Piot Название: Network Intelligence Meets User Centered Social Media Networks ISBN: 3030079899 ISBN-13(EAN): 9783030079895 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.
Описание: This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis.
Автор: Grant Bollmer Название: Inhuman Networks: Social Media and the Archaeology of Connection ISBN: 150131615X ISBN-13(EAN): 9781501316159 Издательство: Bloomsbury Academic Рейтинг: Цена: 25054.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Social media’s connectivity is often thought to be a manifestation of human nature buried until now, revealed only through the diverse technologies of the participatory internet. Rather than embrace this view, Inhuman Networks: Social Media and the Archaeology of Connection argues that the human nature revealed by social media imagines network technology and data as models for behavior online. Covering a wide range of historical and interdisciplinary subjects, Grant Bollmer examines the emergence of “the network” as a model for relation in the 1700s and 1800s and follows it through marginal, often forgotten articulations of technology, biology, economics, and the social. From this history, Bollmer examines contemporary controversies surrounding social media, extending out to the influence of network models on issues of critical theory, politics, popular science, and neoliberalism. By moving through the past and present of network media, Inhuman Networks demonstrates how contemporary network culture unintentionally repeats debates over the limits of Western modernity to provide an idealized future where “the human” is interchangeable with abstract, flowing data connected through well-managed, distributed networks.
Автор: Stephanie Frank Singer Название: Linearity, Symmetry, and Prediction in the Hydrogen Atom ISBN: 1441920358 ISBN-13(EAN): 9781441920355 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a textbook for a senior-level undergraduate course for math, physics and chemistry majors. This one course can play two different but complimentary roles: it can serve as a capstone course for students finishing their education, and it can serve as motivating story for future study of mathematics. Some textbooks are like a vigorous regular physical training program, preparing people for a wide range of challenges by honing their basic skills thoroughly. Some are like a series of day hikes. This book is more like an intended trek to a particularly beautiful goal. We'll take the easiest route to the top, and we'll stop to appreciate local flora as well as distant peaks worthy of the vigorous training one would need to scale them. Advice to the Student: This book was written with many different readers in mind. Some will be mathematics students interested to see a beautiful and powerful application of a "pure" mathematical subject. Some will be students of physics and chemistry curious about the mathematics behind some tools they use, such as spherical harmonics. Because the readership is so varied, no single reader should be put off by occasional digressions aimed at certain other readers.
Автор: Huan Liu; John Salerno; Michael J. Young Название: Social Computing, Behavioral Modeling, and Prediction ISBN: 1441945970 ISBN-13(EAN): 9781441945976 Издательство: Springer Рейтинг: Цена: 21953.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface.- Acknowledgments.- List of Contributors.- Rational Choice Theory: A Forum for Exchange of Ideas between the Hard and Social Sciences in Predictive Behavioral Modeling.- The SOMA Terror Organization Portal (STOP): Social network and analytic tools for the real-time analysis of terror groups.- The Sociology of Alien Rule.- The DoD Encounters the Blogosphere.- Integrating Multi-Agent Technology with Cognitive Modeling to Develop an Insurgency Information Framework (IIF).- Stochastic Opponent Modeling Agents: A Case Study with Hezbollah.- An approach to modeling group behaviors and beliefs in conflict situations.- Computational Models of Multi-national Organizations.- Clustering of Trajectory Data Obtained from Soccer Game Records - A First Step to Behavioral Modeling.- Mobile Phone Data for Inferring Social Network Structure.- Human Behavioral Modeling Using Fuzzy and Dempster-Shafer Theory.- Online Behavioral Analysis and Modeling Methodology (OBAMM - Mining for Social Processes in Intelligence Data Streams.- An Ant Colony Optimization Approach to Expert Identification in Social Networks.- Attribution-based Anomaly Detection: Trustworthiness in an Online Community.- Particle Swarm Social Model for Group Social Learning in Adaptive Environment.- Social Network Analysis: Tasks and Tools.- Behavioral Entropy of a Cellular Phone.- Community Detection in a Large Real-World Social Network.- Where are the slums? New approaches to urban regeneration.- A Composable Discrete-Time Cellular Automaton Formalism.- Designing Group Annotations and Process Visualizations for Role-Based Collaboration.- Modeling Malaysian Public Opinion by Mining the Malaysian Blogosphere.- Reading Between the Lines: Human-centered Classification of Communication Patterns and Intentions.- Metagame Strategies of Nation-States, with Application to Cross-Strait Relations.- Automating Frame Analysis.- Using Topic Analysis to Compute Identity Group Attributes.- Biographies.- Author Index.
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