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Front Cover -- Sentiment Analysis in Social Networks -- Copyright -- Contents -- Contributors -- Editors' Biographies -- Preface -- Acknowledgments -- Chapter 1: Challenges of Sentiment Analysis in Social Networks: An Overview -- 1. Background -- 2. Sentiment Analysis in Social Networks: A New Research Approach -- 3. Sentiment Analysis Characteristics -- 3.1. Sentiment Categorization: Objective Versus Subjective Sentences -- 3.2. Levels of Analysis -- 3.3. Regular Versus Comparative Opinion -- 3.4. Explicit Versus Implicit Opinions -- 3.5. The Role of Semantics

This volume is directed toward researchers and health professionals with an interest in the interstices of social networks and health. It consists of original papers that address critical themes in health-related social network research and disease prevention. The sections discuss the dynamics of social networks and their role in providing social support under varying conditions and contexts; how social network theory and research contribute to disease prevention and control; methodological issues that affect recall and agreement when conducting social network studies; how social networks structure and facilitate or discourage health risk; and the role of network ties in disease prevention. The volume concludes by examining the influence of social support in health promotion, symptom identification and disease management.

"Social Networks at Work provides the latest thinking, from top-notch experts, on social networks as they apply to industrial and organizational psychology. Each chapter provides an in-depth review along with discussions of future research and managerial implications of the social network perspective. Altogether, the volume illustrates the importance of adding a social capital perspective to the traditional human capital focus of I/O psychology. The volume is organized into two groups of chapters: the first seven chapters focus on specific network concepts (such as centrality, affect, negative ties, multiplexity, cognition, and structural holes) applied across a variety of topics. The remaining eight chapters focus on common I/O topics (such as personality, creativity, turnover, careers, person-environment fit, employment, teams and leadership) and examine each from a network perspective, applying a variety of network concepts to the topic. This volume is suited for students and academics interested in applying a social-network perspective to their work, as well as for practicing managers. Each topic area provides a useful review and guide for future research, as well as implications for managerial action"--

This paper analyzes the political communication and the complex relational relationship between the topic and social media. Technological evolution has indeed led to rapid and global change, but this has not been accompanied by adequate forms of regulation. The goal should be to protect our democratic societies and the public institutions that represent them. ; Il presente contributo s'interroga sul tema della comunicazione politica e sul complesso rapporto relazionale che sussiste con i social media. L'evoluzione tecnologica ha difatti portato a un cambiamento rapido e globale che però non è stato accompagnato da forme adeguate di regolazione, il cui compito dovrebbe essere quello di tutelare le nostre società democratiche e le istituzioni pubbliche che le rappresentano.

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.