Applications of Social Media and Social Network Analysis, Przemys?aw Kazienko; Nitesh Chawla
Автор: Przemys?aw Kazienko; Nitesh Chawla Название: Applications of Social Media and Social Network Analysis ISBN: 3319364413 ISBN-13(EAN): 9783319364414 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis.
Автор: Fazli Can; Tansel ?zyer; Faruk Polat Название: State of the Art Applications of Social Network Analysis ISBN: 3319059114 ISBN-13(EAN): 9783319059112 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: State of the Art Applications of Social Network Analysis
Автор: Chuan Shi; Philip S. Yu Название: Heterogeneous Information Network Analysis and Applications ISBN: 3319562118 ISBN-13(EAN): 9783319562117 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This information will help researchers to understand how to analyze networked data with heterogeneous information networks.
Автор: Dmitry I. Ignatov; Mikhail Yu. Khachay; Valeri G. Название: Analysis of Images, Social Networks and Texts ISBN: 3319529196 ISBN-13(EAN): 9783319529196 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016.The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions.
Автор: Fazli Can; Tansel ?zyer; Faruk Polat Название: State of the Art Applications of Social Network Analysis ISBN: 3319356496 ISBN-13(EAN): 9783319356495 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A Randomized Approach for Structural and Message based Private Friend Recommendation in Online Social Networks; B. K. Samanthula, W.Jiang.- Context Based Semantic Relations in Tweets; O. Ozdikis et al.- Fast exact and approximate computation of betweenness centrality in social networks; M. Baglioni et al.- Network Simulation; E. Franchi.- Early Stage Conversation Catalysts on Entertainment-Based Web Forums; J. Lanagan et al.- Predicting Users Behaviours in Distributed Social Networks Using Community Analysis; B. Ngonmang et al.- What should we protect? Defining differential privacy for social network analysis; C. Task, C.Clifton.- Complex Network Analysis of Research Funding: A Case Study of NSF Grants; H. Kardes et al.- Community Evolutionary Events in Online Social Networks; M. Abulaish, S. Yousuf Bhat.-@Rank: Personalized Centrality Measure for Email Communication Networks; P. Lubarski, M. Morzy.-Twitter Sentiment Analysis: How To Hedge Your Bets In The Stock Markets; T.Rao, S. Srivastava.- The Impact of Measurement Time on Subgroup Detection in Online Communities; S. Zeini et al.- Spatial and Temporal Evaluation of Network-Based Analysis of Human Mobility; M. Coscia et al.- An Ant based Particle Swarm Optimization Algorithm for Maximum Clique Problem in Social networks; M. Soleimani-pouri et al.- XEngine: An XML Search Engine for Social Groups; K.Taha.- Size, diversity and components in the network around an entrepreneur: Shaped by culture and shaping embeddedness of firm relations; M. Cheraghi, T.Schott .- Content Mining of Microblogs; M.Ц. Cingiz, B. Diri.
Описание: Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.
Автор: Xu & Li Название: Social Media Mining And Social Network Analysis ISBN: 1466628065 ISBN-13(EAN): 9781466628069 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The widespread use of web-based communities, social media, and social networking sites has brought a rapid change to the interaction between computers and users as well as the digital experience as a whole. <br><br><em>Social Media Mining and Social Network Analysis: Emerging Research</em> highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organisation science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.
Автор: Rokia Missaoui; Talel Abdessalem; Matthieu Latapy Название: Trends in Social Network Analysis ISBN: 331953419X ISBN-13(EAN): 9783319534190 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking.
Автор: Tayebi Название: Social Network Analysis in Predictive Policing ISBN: 3319414917 ISBN-13(EAN): 9783319414911 Издательство: Springer Рейтинг: Цена: 10760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks—networks of offenders who have committed crimes together—have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.
Автор: Reda Alhajj; Jon Rokne Название: Encyclopedia of Social Network Analysis and Mining ISBN: 1493971301 ISBN-13(EAN): 9781493971305 Издательство: Springer Рейтинг: Цена: 286498.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This encyclopedia integrates fundamental concepts and research directions in social networks and their application to data mining. Some 300 entries span the broad field of social network construction and analysis as a multidisciplinary domain.
Автор: Jalal Kawash Название: Online Social Media Analysis and Visualization ISBN: 3319135899 ISBN-13(EAN): 9783319135892 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others.
Автор: Martin Atzmueller; Alvin Chin; Denis Helic; Andrea Название: Ubiquitous Social Media Analysis ISBN: 3642453910 ISBN-13(EAN): 9783642453915 Издательство: Springer Рейтинг: Цена: 6429.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed joint post-proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments, MUSE 2012, held in Bristol, UK, in September 2012, and the Third International Workshop on Modeling Social Media, MSM 2012, held in Milwaukee, WI, USA, in June 2012.
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