Download or read book Influence and Behavior Analysis in Social Networks and Social Media written by Mehmet Kaya and published by Springer. This book was released on 2018-12-11 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely book focuses on influence and behavior analysis in the broader context of social network applications and social media. Twitter accounts of telecommunications companies are analyzed. Rumor sources in finite graphs with boundary effects by message-passing algorithms are identified. The coherent, state-of-the-art collection of chapters was initially selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. Original chapters coming from outside of the meeting round out the coverage. The result will appeal to researchers and students working in social network and social media analysis.

Download or read book Social Network Analysis Community Detection and Evolution written by Rokia Missaoui and published by Springer. This book was released on 2015-01-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.

Download or read book Social Networks and Post Purchase Behavior written by Mauro Maia Laruccia and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study aims to study the influence of social networks in post-purchase, that is, in the mentions of customers presented on the internet. Concepts of digital marketing and post-purchase behavior are discussed in this work. Digital marketing means doing marketing through digital tools. It is the set of strategic actions applied in digital media (internet and mobile technologies), to win and retain customers, increasing the company's market share. The main discussion in post-purchase behavior is assessing the cognitive adequacy of the solution chosen in the purchase of a product/service concerning an initial problem, especially when the consumer believes has been deceived. The research problem was: how can post-consumer behavior influence marketing strategies on social media? The Scup tool used as a data collection procedure for surveying social media mentions about AliExpress. As a result, after applying the filter described in the procedures, we obtained 71 records (N = 71) collected in the period from October 29, 2015, to November 4, 2015, which reflect the behavior of the consumer about the post-purchase process. The result of the popularization of social networks has changed the relationship between companies and their publics. In the past those relations was processed through official customer service channels, today is via social networks, where customers expose their positive or negative opinions about product or service purchased by a particular company. Retailers like AliExpress need to improve customer experience throw social media.

Download or read book Social Networking and Community Behavior Modeling Qualitative and Quantitative Measures written by Safar, Maytham and published by IGI Global. This book was released on 2011-12-31 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Networking and Community Behavior Modeling: Qualitative and Quantitative Measures provides a clear and consolidated view of current social network models. This work explores new methods for modeling, characterizing, and constructing social networks. Chapters contained in this book study critical security issues confronting social networking, the emergence of new mobile social networking devices and applications, network robustness, and how social networks impact the business aspects of organizations.

Download or read book Behavior Dynamics in Media Sharing Social Networks written by H. Vicky Zhao and published by Cambridge University Press. This book was released on 2011-04-14 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: In large-scale media-sharing social networks, where millions of users create, share, link and reuse media content, there are clear challenges in protecting content security and intellectual property, and in designing scalable and reliable networks capable of handling high levels of traffic. This comprehensive resource demonstrates how game theory can be used to model user dynamics and optimize design of media-sharing networks. It reviews the fundamental methodologies used to model and analyze human behavior, using examples from real-world multimedia social networks. With a thorough investigation of the impact of human factors on multimedia system design, this accessible book shows how an understanding of human behavior can be used to improve system performance. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this one-stop guide will enable researchers to explore this emerging field further and ultimately design media-sharing systems with more efficient, secure and personalized services.

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.

Download or read book Social Influence Network Theory written by Noah E. Friedkin and published by Cambridge University Press. This book was released on 2011-04-18 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social influence network theory presents a mathematical formalization of the social process of attitude changes that unfolds in a social network of interpersonal influences. This book brings the theory to bear on lines of research in the domain of small group dynamics concerned with changes of group members' positions on an issue, including the formation of consensus and of settled disagreement, via endogenous interpersonal influences, in which group members are responding to the displayed positions of the members of the group. Social influence network theory advances a dynamic social cognition mechanism, in which individuals are weighing and combining their own and others' positions on an issue in the revision of their own positions. The influence network construct of the theory is the social structure of the endogenous interpersonal influences that are involved in this mechanism. With this theory, the authors seek to lay the foundation for a better formal integration of classical and current lines of work on small groups in psychological and sociological social psychology.

Download or read book Social Network Analysis written by Mohammad Gouse Galety and published by John Wiley & Sons. This book was released on 2022-05-24 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.

Download or read book Behavior Dynamics in Media Sharing Social Networks written by H. Vicky Zhao and published by Cambridge University Press. This book was released on 2011-04-14 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: In large-scale media-sharing social networks, where millions of users create, share, link and reuse media content, there are clear challenges in protecting content security and intellectual property, and in designing scalable and reliable networks capable of handling high levels of traffic. This comprehensive resource demonstrates how game theory can be used to model user dynamics and optimize design of media-sharing networks. It reviews the fundamental methodologies used to model and analyze human behavior, using examples from real-world multimedia social networks. With a thorough investigation of the impact of human factors on multimedia system design, this accessible book shows how an understanding of human behavior can be used to improve system performance. Bringing together mathematical tools and engineering concepts with ideas from sociology and human behavior analysis, this one-stop guide will enable researchers to explore this emerging field further and ultimately design media-sharing systems with more efficient, secure and personalized services.

Download or read book Social Networks Models of Information Influence Control and Confrontation written by Alexander G. Chkhartishvili and published by Springer. This book was released on 2018-12-30 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book surveys the well-known results and also presents a series of original results on the mathematical modeling of social networks, focusing on models of informational influence, control and confrontation. Online social networks are intended for communication, opinion exchange and information acquisition for their members, but recently, online social networks have been intensively used as the objects and means of informational control and an arena of informational confrontation. They have become a powerful informational influence tool, particularly for the manipulation of individuals, social groups and society as a whole, as well as a battlefield of information warfare (cyberwars). This book aimed at under- and postgraduate university students as well as experts in information technology and modeling of social systems and processes.

Download or read book Putting Social Media and Networking Data in Practice for Education Planning Prediction and Recommendation written by Mehmet Kaya and published by Springer Nature. This book was released on 2019-12-27 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students.

Download or read book Social Network Data Analytics written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2011-03-18 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.

Download or read book Media Perspectives for the 21st Century written by Stylianos Papathanassopoulos and published by Routledge. This book was released on 2011-03-17 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Media Perspectives for the 21st Century brings together key international scholars to explore concepts, topics and issues concerning the communication environment in contemporary democratic societies. It combines qualitative and quantitative approaches to provide an interdisciplinary and truly global perspective that reflects the trends, theories and issues in current media and communication research. The collection raises significant questions about the study of the media by challenging approaches to major media and societal issues, and analyses in more depth the range of concerns that shape both the present and the future media landscape and the issues these can create for communication. It also investigates the main effects of technological developments on the domain of the news media and journalism. Divided into two main sections, Part I provides accounts of the role of the media in society, and deals with agendas that affect the field of communications studies. Part II goes on to examine the world of new media and offers analyses on the developments of the 21st century. Chapters deal with various dimensions of media from a number of different perspectives and socio-political contexts, covering a wide range of topics including Social Networking, Political Communication, Public Journalism, Global Infotainment and Consumer Culture. Media Perspectives for the 21st Century will be highly useful to undergraduate and postgraduate students, as well as researchers and academics, in the fields of media and communication studies, mass communication, journalism and new media.

Download or read book Implications of Social Media Use in Personal and Professional Settings written by Benson, Vladlena and published by IGI Global. This book was released on 2014-12-31 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social technology is quickly becoming a vital tool in our personal, educational, and professional lives. However, while social networking helps the world stay connected, its use must be further examined in order to determine any possible pitfalls associated with the use of this technology. Implications of Social Media Use in Personal and Professional Settings investigates the paradoxical nature of social networking in our personal lives and in the workplace. Highlighting emergent research and psychological impacts, this publication is an indispensable reference source for academics, researchers, and professionals interested in the application of social media, as well as the positive aspects and detrimental effects of the usage of these technologies.

Download or read book Mining Lurkers in Online Social Networks written by Andrea Tagarelli and published by Springer. This book was released on 2018-11-09 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief brings order to the wealth of research studies that contribute to shape our understanding of on-line social networks (OSNs) lurking phenomena. This brief also drives the development of computational approaches that can be effectively applied to answer questions related to lurking behaviors, as well as to the engagement of lurkers in OSNs. All large-scale online social networks (OSNs) are characterized by a participation inequality principle, i.e., the crowd of an OSN does not actively contribute, rather it takes on a silent role. Silent users are also referred to as lurkers, since they gain benefit from others' information without significantly giving back to the community. Nevertheless, lurkers acquire knowledge from the OSN, therefore a major goal is to encourage them to more actively participate. Lurking behavior analysis has been long studied in social science and human-computer interaction fields, but it has also matured over the last few years in social network analysis and mining. While the main target audience corresponds to computer, network, and web data scientists, this brief might also help increase the visibility of the topic by bridging different closely related research fields. Practitioners, researchers and students interested in social networks, web search, data mining, computational social science and human-computer interaction will also find this brief useful research material .

Download or read book Information and Influence Propagation in Social Networks written by Wei Chen and published by Morgan & Claypool Publishers. This book was released on 2013-10-01 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on social networks has exploded over the last decade. To a large extent, this has been fueled by the spectacular growth of social media and online social networking sites, which continue growing at a very fast pace, as well as by the increasing availability of very large social network datasets for purposes of research. A rich body of this research has been devoted to the analysis of the propagation of information, influence, innovations, infections, practices and customs through networks. Can we build models to explain the way these propagations occur? How can we validate our models against any available real datasets consisting of a social network and propagation traces that occurred in the past? These are just some questions studied by researchers in this area. Information propagation models find applications in viral marketing, outbreak detection, finding key blog posts to read in order to catch important stories, finding leaders or trendsetters, information feed ranking, etc. A number of algorithmic problems arising in these applications have been abstracted and studied extensively by researchers under the garb of influence maximization. This book starts with a detailed description of well-established diffusion models, including the independent cascade model and the linear threshold model, that have been successful at explaining propagation phenomena. We describe their properties as well as numerous extensions to them, introducing aspects such as competition, budget, and time-criticality, among many others. We delve deep into the key problem of influence maximization, which selects key individuals to activate in order to influence a large fraction of a network. Influence maximization in classic diffusion models including both the independent cascade and the linear threshold models is computationally intractable, more precisely #P-hard, and we describe several approximation algorithms and scalable heuristics that have been proposed in the literature. Finally, we also deal with key issues that need to be tackled in order to turn this research into practice, such as learning the strength with which individuals in a network influence each other, as well as the practical aspects of this research including the availability of datasets and software tools for facilitating research. We conclude with a discussion of various research problems that remain open, both from a technical perspective and from the viewpoint of transferring the results of research into industry strength applications.

Download or read book Online Consumer Behavior written by Angeline Close and published by Routledge. This book was released on 2012 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.