Challenges In Social Network Research

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Challenges in Social Network Research

Author : Giancarlo Ragozini
Publisher : Springer Nature
ISBN 13 : 3030314634
Total Pages : 245 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Challenges in Social Network Research by : Giancarlo Ragozini

Download or read book Challenges in Social Network Research written by Giancarlo Ragozini and published by Springer Nature. This book was released on 2019-12-06 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals.

Public Response to Alerts and Warnings Using Social Media

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309290333
Total Pages : 93 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Public Response to Alerts and Warnings Using Social Media by : National Research Council

Download or read book Public Response to Alerts and Warnings Using Social Media written by National Research Council and published by National Academies Press. This book was released on 2013-02-04 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following an earlier NRC workshop on public response to alerts and warnings delivered to mobile devices, a related workshop was held on February 28 and 29, 2012 to look at the role of social media in disaster response. This was one of the first workshops convened to look systematically at the use of social media for alerts and warnings-an event that brought together social science researchers, technologists, emergency management professionals, and other experts on how the public and emergency managers use social media in disasters.In addition to exploring how officials monitor social media, as well as the resulting privacy considerations, the workshop focused on such topics as: what is known about how the public responds to alerts and warnings; the implications of what is known about such public responses for the use of social media to provide alerts and warnings to the public; and approaches to enhancing the situational awareness of emergency managers. Public Response to Alerts and Warnings Using Social Media: Report of a Workshop on Current Knowledge and Research Gaps summarizes presentations made by invited speakers, other remarks by workshop participants, and discussions during parallel breakout sessions. It also points to potential topics for future research, as well as possible areas for future research investment, and it describes some of the challenges facing disaster managers who are seeking to incorporate social media into regular practice.

Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

Author : Nitin Agarwal
Publisher : Springer
ISBN 13 : 3319941054
Total Pages : 282 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining by : Nitin Agarwal

Download or read book Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining written by Nitin Agarwal and published by Springer. This book was released on 2018-09-17 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice.

Doing Social Network Research

Author : Garry Robins
Publisher : SAGE
ISBN 13 : 1473916720
Total Pages : 321 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis Doing Social Network Research by : Garry Robins

Download or read book Doing Social Network Research written by Garry Robins and published by SAGE. This book was released on 2015-01-16 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you struggling to design your social network research? Are you looking for a book that covers more than social network analysis? If so, this is the book for you! With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research. Open the book and you′ll find practical, ′how to′ advice and worked examples relevant to PhD students and researchers from across the social and behavioural sciences. The book covers: Fundamental network concepts and theories Research questions and study design Social systems and data structures Network observation and measurement Methods for data collection Ethical issues for social network research Network visualization Methods for social network analysis Drawing conclusions from social network results This is a perfect guide for all students and researchers looking to do empirical social network research.

Principles of Social Networking

Author : Anupam Biswas
Publisher : Springer Nature
ISBN 13 : 9811633983
Total Pages : 447 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Principles of Social Networking by : Anupam Biswas

Download or read book Principles of Social Networking written by Anupam Biswas and published by Springer Nature. This book was released on 2021-08-18 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new and innovative current discoveries in social networking which contribute enough knowledge to the research community. The book includes chapters presenting research advances in social network analysis and issues emerged with diverse social media data. The book also presents applications of the theoretical algorithms and network models to analyze real-world large-scale social networks and the data emanating from them as well as characterize the topology and behavior of these networks. Furthermore, the book covers extremely debated topics, surveys, future trends, issues, and challenges.

Trends in Social Network Analysis

Author : Rokia Missaoui
Publisher : Springer
ISBN 13 : 3319534203
Total Pages : 263 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Trends in Social Network Analysis by : Rokia Missaoui

Download or read book Trends in Social Network Analysis written by Rokia Missaoui and published by Springer. This book was released on 2017-04-29 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. It covers both new topics and new solutions to known problems. The contributions rely on established methods and techniques in graph theory, machine learning, stochastic modelling, user behavior analysis and natural language processing, just to name a few. This text provides an understanding of using such methods and techniques in order to manage practical problems and situations. Trends in Social Network Analysis: Information Propagation, User Behavior Modelling, Forecasting, and Vulnerability Assessment appeals to students, researchers, and professionals working in the field.

Mixed Methods Social Networks Research

Author : Silvia Domínguez
Publisher : Cambridge University Press
ISBN 13 : 1139992244
Total Pages : 407 pages
Book Rating : 4.1/5 (399 download)

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Book Synopsis Mixed Methods Social Networks Research by : Silvia Domínguez

Download or read book Mixed Methods Social Networks Research written by Silvia Domínguez and published by Cambridge University Press. This book was released on 2014-06-30 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume demonstrates the potential of mixed-methods designs for the research of social networks and the utilization of social networks for other research. Mixing methods applies to the combination and integration of qualitative and quantitative methods. In social network research, mixing methods also applies to the combination of structural and actor-oriented approaches. The volume provides readers with methodological concepts to guide mixed-methods network studies with precise research designs and methods to investigate social networks of various sorts. Each chapter describes the research design used and discusses the strengths of the methods for that particular field and for specific outcomes.

Social Networks Science: Design, Implementation, Security, and Challenges

Author : Nilanjan Dey
Publisher : Springer
ISBN 13 : 3319900595
Total Pages : 177 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Social Networks Science: Design, Implementation, Security, and Challenges by : Nilanjan Dey

Download or read book Social Networks Science: Design, Implementation, Security, and Challenges written by Nilanjan Dey and published by Springer. This book was released on 2018-06-18 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main target of this book is to raise the awareness about social networking systems design, implementation, security requirements, and approaches. The book entails related issues including computing, engineering, security, management, and organization policy. It interprets the design, implementation and security threats in the social networks and offers some solutions in this concern. It clarifies the authentication concept between servers to identity users. Most of the models that focus on protecting users’ information are also included. This book introduces the Human-Interactive Security Protocols (HISPs) efficiently. Presenting different types of the social networking systems including the internet and mobile devices is one of the main targets of this book. This book includes the social network performance evaluation metrics. It compares various models and approaches used in the design of the social networks. This book includes various applications for the use of the social networks in the healthcare, e-commerce, crisis management, and academic applications. The book provides an extensive background for the development of social network science and its challenges. This book discusses the social networks integration to offer online services, such as instant messaging, email, file sharing, transferring patients’ medical reports/images, location-based recommendations and many other functions. This book provides users, designers, engineers and managers with the valuable knowledge to build a better secured information transfer over the social networks. The book gathers remarkable materials from an international experts’ panel to guide the readers during the analysis, design, implementation and security achievement for the social network systems. In this book, theories, practical guidance, and challenges are included to inspire designers and researchers. The book guides the engineers, designers, and researchers to exploit the intrinsic design of the social network systems.

Animal Social Networks

Author : Dr. Jens Krause
Publisher : Oxford University Press
ISBN 13 : 0199679045
Total Pages : 279 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis Animal Social Networks by : Dr. Jens Krause

Download or read book Animal Social Networks written by Dr. Jens Krause and published by Oxford University Press. This book was released on 2015 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scientific study of networks - computer, social, and biological - has received an enormous amount of interest in recent years. However, the network approach has been applied to the field of animal behaviour relatively late compared to many other biological disciplines. Understanding social network structure is of great importance for biologists since the structural characteristics of any network will affect its constituent members and influence a range of diverse behaviours. These include finding and choosing a sexual partner, developing and maintaining cooperative relationships, and engaging in foraging and anti-predator behavior. This novel text provides an overview of the insights that network analysis has provided into major biological processes, and how it has enhanced our understanding of the social organisation of several important taxonomic groups. It brings together researchers from a wide range of disciplines with the aim of providing both an overview of the power of the network approach for understanding patterns and process in animal populations, as well as outlining how current methodological constraints and challenges can be overcome. Animal Social Networks is principally aimed at graduate level students and researchers in the fields of ecology, zoology, animal behaviour, and evolutionary biology but will also be of interest to social scientists.

Computational Social Network Analysis

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 9781447125327
Total Pages : 0 pages
Book Rating : 4.1/5 (253 download)

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Book Synopsis Computational Social Network Analysis by : Ajith Abraham

Download or read book Computational Social Network Analysis written by Ajith Abraham and published by Springer. This book was released on 2012-03-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members’ social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.

Sentiment Analysis in Social Networks

Author : Federico Alberto Pozzi
Publisher : Morgan Kaufmann
ISBN 13 : 0128044381
Total Pages : 286 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Sentiment Analysis in Social Networks by : Federico Alberto Pozzi

Download or read book Sentiment Analysis in Social Networks written by Federico Alberto Pozzi and published by Morgan Kaufmann. This book was released on 2016-10-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network analysis - Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network mining - Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics

Mixed Methods Social Network Analysis

Author : Dominik E. Froehlich
Publisher : Routledge
ISBN 13 : 0429557043
Total Pages : 296 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Mixed Methods Social Network Analysis by : Dominik E. Froehlich

Download or read book Mixed Methods Social Network Analysis written by Dominik E. Froehlich and published by Routledge. This book was released on 2019-12-09 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods social network analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation. This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on "Why should we do MMSNA?", providing a clear map of MMSNA research to date and why to consider MMSNA. In Section 2 the remaining 11 chapters are dedicated to the question "How do I do MMSNA?", illustrating how concentric circles, learning analytics, qualitative structured approaches, relational event modeling, and other approaches can empower researchers. This book shows that mixing qualitative and quantitative approaches to social network analysis can empower people to understand the complexities of change in networks and relations between people. It shows how mixed analysis can be applied to a wide range of data generated by diverse global communities: American school children, Belgian teachers, Dutch medical professionals, Finnish consultants, French school children, and Swedish right-wing social media users, amongst others. It will be of great interest to researchers and postgraduate students in education and social sciences and mixed methods scholars.

Computational Social Networks

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 1447140486
Total Pages : 474 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Computational Social Networks by : Ajith Abraham

Download or read book Computational Social Networks written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2012-06-28 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on practical tools, applications, and open avenues for further research (the other two volumes review issues of Security and Privacy, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage by applying these ideas in real-world scenarios; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, the representation and analysis of social networks, and the use of semantic networks in knowledge discovery and visualization; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

The Network Challenge (Chapter 5)

Author : Dawn Iacobucci
Publisher : Pearson Education
ISBN 13 : 0137015348
Total Pages : 40 pages
Book Rating : 4.1/5 (37 download)

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Book Synopsis The Network Challenge (Chapter 5) by : Dawn Iacobucci

Download or read book The Network Challenge (Chapter 5) written by Dawn Iacobucci and published by Pearson Education. This book was released on 2009-05-19 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter provides an overview of social networks, the basic discipline from which ideas and terminology are drawn when characterizing popular phenomena such as “social networking” Internet sites like Facebook. The authors offer the reader a flavor of the theoretical and empirical research conducted by social network scholars since the 1930s. They explore how researchers have used social networks to generate and test economic, sociological, and organizational theories. They also examine broad insights from this research, as well as management implications in areas such as advertising, brands, loyalty, authenticity, and segmentation. The overriding message is that as power shifts from firms to social networks, companies have less control over their own destinies and need to pay more attention to networks.

Research Methods in Social Network Analysis

Author : Linton C. Freeman
Publisher : Transaction Publishers
ISBN 13 : 9781560005698
Total Pages : 306 pages
Book Rating : 4.0/5 (56 download)

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Book Synopsis Research Methods in Social Network Analysis by : Linton C. Freeman

Download or read book Research Methods in Social Network Analysis written by Linton C. Freeman and published by Transaction Publishers. This book was released on 1992 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of Herbert Spencer's Principles of Sociology in 1875, the use of social structure as a defining concept has produced a large body of creative speculations, insights, and intuitions about social life. However, writers in this tradition do not always provide the sorts of formal definitons and propositions that are the building blocks of modern social research. In its broad-ranging examination of the kind of data that form the basis for the systematic study of social structure, Research Methods in Social Network Analysis marks a significant methodological advance in network studies. As used in this volume, social structure refers to a bundle of intuitive natural language ideas and concepts about patterning in social relationships among people. In contrast, social networks is used to refer to a collection of precise analytic and methodological concepts and procedures that facilitate the collection of data and the systematic study of such patterning. Accordingly, the book's five sections are arranged to address analytical problems in a series of logically ordered stages or processes. The major contributors define the fundamental modes by which social structural phenomena are to be represented; how boundaries to a social structure are set; how the relations of a network are measured in terms of structure and content; the ways in which the relational structure of a network affects system actors; and how actors within a social network are clustered into cliques or groups. The chapters in the last section build on solutions to problems proposed in the previous sections. This highly unified approach to research design combined with a representative diversity of viewpoints makes Research Methods in Social Network Analysis a state-of-the-art volume.

Advances in Social Network Mining and Analysis

Author : C. Lee Giles
Publisher : Springer Science & Business Media
ISBN 13 : 3642149286
Total Pages : 141 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Social Network Mining and Analysis by : C. Lee Giles

Download or read book Advances in Social Network Mining and Analysis written by C. Lee Giles and published by Springer Science & Business Media. This book was released on 2010-08-10 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work constitutes the proceedings of the Second International Workshop on Advances in Social Network and Analysis, held in Las Vegas, NV, USA in August 2008.

Social Network Analysis

Author : Mohammad Gouse Galety
Publisher : John Wiley & Sons
ISBN 13 : 1119836735
Total Pages : 260 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Social Network Analysis by : Mohammad Gouse Galety

Download or read book Social Network Analysis written by Mohammad Gouse Galety and published by John Wiley & Sons. This book was released on 2022-04-28 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.