Influence And Behavior Analysis In Social Networks And Social Media
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| Author | : Mehmet Kaya |
| Publisher | : Springer |
| Total Pages | : 238 |
| Release | : 2018-12-11 |
| Genre | : Social Science |
| ISBN | : 3030025926 |
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.
| Author | : Rokia Missaoui |
| Publisher | : Springer |
| Total Pages | : 282 |
| Release | : 2015-01-13 |
| Genre | : Computers |
| ISBN | : 331912188X |
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.
| Author | : Mauro Maia Laruccia |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
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.
| Author | : Safar, Maytham |
| Publisher | : IGI Global |
| Total Pages | : 401 |
| Release | : 2011-12-31 |
| Genre | : Computers |
| ISBN | : 1613504454 |
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.
| Author | : H. Vicky Zhao |
| Publisher | : Cambridge University Press |
| Total Pages | : 350 |
| Release | : 2011-04-14 |
| Genre | : Technology & Engineering |
| ISBN | : 9780521197274 |
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.
| Author | : Rokia Missaoui |
| Publisher | : Springer |
| Total Pages | : 263 |
| Release | : 2017-04-29 |
| Genre | : Computers |
| ISBN | : 3319534203 |
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.
| Author | : Noah E. Friedkin |
| Publisher | : Cambridge University Press |
| Total Pages | : 391 |
| Release | : 2011-04-18 |
| Genre | : Social Science |
| ISBN | : 113949905X |
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.
| Author | : Mohammad Gouse Galety |
| Publisher | : John Wiley & Sons |
| Total Pages | : 260 |
| Release | : 2022-05-24 |
| Genre | : Technology & Engineering |
| ISBN | : 1119836239 |
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.
| Author | : Mehmet Kaya |
| Publisher | : Springer Nature |
| Total Pages | : 245 |
| Release | : 2019-12-27 |
| Genre | : Science |
| ISBN | : 3030336980 |
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.
| Author | : Benson, Vladlena |
| Publisher | : IGI Global |
| Total Pages | : 362 |
| Release | : 2014-12-31 |
| Genre | : Computers |
| ISBN | : 1466674024 |
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.
