Download or read book Social Networks and the Life Course written by Duane F. Alwin and published by Springer. This book was released on 2018-03-06 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume engages the interface between the development of human lives and social relational networks. It focuses on the integration of two subfields of sociology/social science--the life course and social networks. Research practitioners studying social networks typically focus on social structure or social organization, ignoring the complex lives of the people in those networks. At the same time, life course researchers tend to focus on individual lives without necessarily studying the contexts of social relationships in which lives are embedded and “linked” to one another through social networks. These patterns are changing and this book creates an audience of researchers who will better integrate the two subfields. It covers the role of social networks across the life span, from childhood and adolescence, to midlife, through old age.

Download or read book Social Networks Through Time written by and published by . This book was released on 1990 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Social Networks and Organizations written by Martin Kilduff and published by SAGE. This book was released on 2003-08-15 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: `The authors should be congratulated for not only offering an excellent tour de force of cutting-edge work in social network analysis, but also charting some new possible territories for future organizational research′ - Environment and Planning Social Networks and Organizations provides a compact introduction to major concepts in the area of organizational social networks. The book covers the rudiments of methods, explores major debates, and directs attention to theoretical directions, including a vigorous critique of some taken-for-granted assumptions. The book is aimed at all of those who seek a lucid and lively treatment of social network approaches to organizational research, with a particular emphasis on the neglected area of interpersonal networks in organizations. In this book, Martin Kilduff and Wenpin Tsai offer new insights to those already familiar with network analysis, and motivate those interested in pursuing network research to embark on journeys of discovery. `This book is extremely timely. It provides a wonderful synthesis of the recently burgeoning literature in the area of organizations and social networks. It should be relevant at once for both the experienced network scholar as well as those entering this growing area′ - Ranjay Gulati, Kellogg School of Management, Northwestern University `Martin Kilduff and Wenpin Tsai have done a marvellous job of not only reviewing and integrating the diverse streams of literatures on social networks, but also of showing the enormous potential of this research approach that still lies untapped. Overall, this book will prove to be an invaluable resource for interested graduate students as well as for established scholars in the field′ - Sumantra Ghoshal, Professor of Strategic and International Management, London Business School `Research on social networks is already one of the most vibrant areas of organizational inquiry. How can it possibly become any more so? This book by Kilduff and Tsai opens up many new avenues for network research and theory-building. Whether you′re newly-interested in social networks or a veteran of the topic, you will benefit from Kilduff and Tsai′s marvellous contribution′ - Donald C Hambrick, Smeal College of Business Administration, The Pennsylvania State University

Download or read book Evolution of Social Networks written by Patrick Doreian and published by Routledge. This book was released on 2013-02-01 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book answers the question of whether we can apply evolutionary theories to our understanding of the development of social structures. Social networks have increasingly become the focus of many social scientists as a way of analyzing these social structures. While many powerful network analytic tools have been developed and applied to a wide range of empirical phenomena, understanding the evolution of social organization still requires theories and analyses of social network evolutionary processes. Researchers from a variety of disciplines have combined their efforts in what is an indication of some very promising future research and the work represented in this volume provides a basis for a sustained analysis of the evolution of social life.

Download or read book Online Social Networks written by Valerio Arnaboldi and published by Elsevier. This book was released on 2015-09-25 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis

Download or read book Social Networks in the History of Innovation and Invention written by Francis C. Moon and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book integrates history of science and technology with modern social network theory. Using examples from the history of machines, as well as case studies from wireless, radio and chaos theory, the author challenges the genius model of invention. Network analysis concepts are presented to demonstrate the societal nature of invention in areas such as steam power, internal combustion engines, early aviation, air conditioning and more. Using modern measures of network theory, the author demonstrates that the social networks of invention from the 19th and early 20th centuries have similar characteristics to modern 21st C networks such as the World Wide Web. The book provides evidence that exponential growth in technical innovation is linked to the growth of historical innovation networks.

Download or read book Social Networks written by Hanna L. Schneider and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networking is not a new concept. Various traditional facets of our existence might be reinterpreted as social networking, from early Christians to the World Wide Web. It refers to the act of relating nodes for example; individuals, organisations, other social entities through social links for example; friendship, professional relationship, information exchange. Before the 20th century, social networking could only take place at short distance, or with considerable time delay when travelling or exchanging letters. Since the 1950's, telephones, tele- and videoconferencing have allowed real-time communications even over long distances. These two-way communication channels are generally good links for pairs of people or small groups, but they tend to be inefficient for large-scale, mass interactions. Moreover they enable simultaneous communications. This book provides leading edge research on this field from around the globe.

Download or read book Social Media Entertainment written by Stuart Cunningham and published by NYU Press. This book was released on 2019-02-26 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner, 2020 Outstanding Book Award, given by the International Communication Association Honorable Mention, 2020 Nancy Baym Book Award, given by the Association of Internet Researchers How the transformation of social media platforms and user-experience have redefined the entertainment industry In a little over a decade, competing social media platforms, including YouTube, Facebook, Twitter, Instagram, and Snapchat, have given rise to a new creative industry: social media entertainment. Operating at the intersection of the entertainment and interactivity, communication and content industries, social media entertainment creators have harnessed these platforms to generate new kinds of content separate from the century-long model of intellectual property control in the traditional entertainment industry. Social media entertainment has expanded rapidly and the traditional entertainment industry has been forced to cede significant power and influence to content creators, their fans, and subscribers. Digital platforms have created a natural market for embedded advertising, changing the worlds of marketing and communication in their wake. Combined, these factors have produced new, radically shifting demands on the entertainment industry, posing new challenges for screen regimes, media scholars, industry professionals, content creators, and audiences alike. Stuart Cunningham and David Craig chronicle the rise of social media entertainment and its impact on media consumption and production. A massive, industry-defining study with insight from over 100 industry insiders, Social Media Entertainment explores the latest transformations in the entertainment industry in this time of digital disruption.

Download or read book Social Networking written by Xin M. Tu and published by Nova Science Publishers. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networking focuses on social relationships (eg: friendships) diagrammed as nodes (points) and links (ties or edges between points). Social network analysis (SNA) examines features of such relationships within a social networking system, including how such social interactions change over time. SNA can measure and map connectedness or flow (eg: information, resources, etc.) within and across individuals, groups, and organisations. SNA can examine these ties in virtual- or geo-temporal spaces -- yielding rich mixed methods possibilities and wide application to a host of scientific phenomena. The advent of social media established a cultural meme that carries social network concepts to broader public audiences, and that reinforces SNAs path to be a powerful interdisciplinary approach. Google Ngram viewer shows the use of social network analysis in the corpus of books burgeoned in the late 1960s, and has continued to grow exponentially since the 1990s. The conceptual and methodological reach now extends both widely -- across scientific disciplines -- and deeply -- as field advances arise with the rapid pace of new inquiries.Facing this tremendous promulgation and diversification of SNA, this book distills essential frontiers across fields. Introducing emerging issues in the application of social network theory and SNA, and how these can or will be addressed, each chapter illuminates new trends or applications of a social network approach that can have wide potential impact in other disciplines. Conceptual advances (eg: applying the concepts of social networks such as peer influence on disease management and treatment adherence), as well as novel analytic approaches for studying properties of social networks are highlighted.

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 The Hype Machine written by Sinan Aral and published by Currency. This book was released on 2020-09-15 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our personal health—in order to steer today’s social technology toward its great promise while avoiding the ways it can pull us apart. Drawing on decades of his own research and business experience, Aral goes under the hood of the most powerful social networks to tackle the critical question of just how much social media actually shapes our choices, for better or worse. He shows how the tech behind social media offers the same set of behavior influencing levers to everyone who hopes to change the way we think and act—from Russian hackers to brand marketers—which is why its consequences affect everything from elections to business, dating to health. Along the way, he covers a wide array of topics, including how network effects fuel Twitter’s and Facebook’s massive growth, the neuroscience of how social media affects our brains, the real consequences of fake news, the power of social ratings, and the impact of social media on our kids. In mapping out strategies for being more thoughtful consumers of social media, The Hype Machine offers the definitive guide to understanding and harnessing for good the technology that has redefined our world overnight.

Download or read book Analyzing Narratives in Social Networks written by Zvi Lotker and published by Springer Nature. This book was released on 2021-08-28 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses literature as a wrench to pry open social networks and to ask different questions than have been asked about social networks previously. The book emphasizes the story-telling aspect of social networks, as well as the connection between narrative and social networks by incorporating narrative, dynamic networks, and time. Thus, it constructs a bridge between literature, digital humanities, and social networks. This book is a pioneering work that attempts to express social and philosophic constructs in mathematical terms. The material used to test the algorithms is texts intended for performance, such as plays, film scripts, and radio plays; mathematical representations of the texts, or “literature networks”, are then used to analyze the social networks found in the respective texts. By using literature networks and their accompanying narratives, along with their supporting analyses, this book allows for a novel approach to social network analysis.

Download or read book Evolution of Social Networks Through Smart Phones and Radio Sensors written by Sipan Ye and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Social interactions have been an integral part of human civilization. It reflects human society and its evolution. The first challenge in the research of social networks is data acquisition. The high cost and low efficiency are always restrictions. In addition, most existing studies of network problems are using single datasets to build their network models. It is paramount to find a general method of obtaining a highly accurate network model to represent social interactions. Therefore, we propose a cross-platform system and strategy to collect data through radio sensors and design a combined scheme with multiple datasets in order to settle this problem. Moreover, we use complex network theory to build our network models. The next challenge is network dynamic. A larger number of real-world networks are dynamic, i.e. social networks, as the topology of a network changes over time. It is also hard to describe the topological variance of the network using a static network model where it does not have any time features. Thus, we propose a weighted temporal network model to illustrate the time effect of social network problems. In this study, we also analyze the effect of friendship on human social interactions and activities. The relationships among networks are shown as well. Furthermore, we show the combined network model provides a highly efficient way to construct social networks.

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.

Download or read book History Disrupted written by Jason Steinhauer and published by Springer Nature. This book was released on 2021-12-07 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet has changed the past. Social media, Wikipedia, mobile networks, and the viral and visual nature of the Web have inundated the public sphere with historical information and misinformation, changing what we know about our history and History as a discipline. This is the first book to chronicle how and why it matters. Why does History matter at all? What role do history and the past play in our democracy? Our economy? Our understanding of ourselves? How do questions of history intersect with today’s most pressing debates about technology; the role of the media; journalism; tribalism; education; identity politics; the future of government, civilization, and the planet? At the start of a new decade, in the midst of growing political division around the world, this information is critical to an engaged citizenry. As we collectively grapple with the effects of technology and its capacity to destabilize our societies, scholars, educators and the general public should be aware of how the Web and social media shape what we know about ourselves - and crucially, about our past.

Download or read book Temporal Patterns of Communication in Social Networks written by Giovanna Miritello and published by Springer Science & Business Media. This book was released on 2013-04-23 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main interest of this research has been in understanding and characterizing large networks of human interactions as continuously changing objects. In fact, although many real social networks are dynamic networks whose elements and properties continuously change over time, traditional approaches to social network analysis are essentially static, thus neglecting all temporal aspects. Specifically, we have investigated the role that temporal patterns of human interaction play in three main fields of social network analysis and data mining: characterization of time (or attention) allocation in social networks, prediction of link decay/persistence, and information spreading. In order to address this we analyzed large anonymized data sets of phone call communication traces over long periods of time. Access to these observations was granted by Telefonica Research, Spain. The findings that emerge from our research indicate that the observed heterogeneities and correlations of human temporal patterns of interaction significantly affect the traditional view of social networks, shifting from a very steady to a highly complex entity. Since structure and dynamics are tightly coupled, they cannot be disentangled in the analysis and modeling of human behavior, though traditional models seek to do so. Our results impact not only the way in which social network are traditionally characterized, but more importantly also the understanding and modeling phenomena such as group formation, spread of epidemics, and the dissemination of ideas, opinions and information.

Download or read book Link Mining Models Algorithms and Applications written by Philip S. Yu and published by Springer Science & Business Media. This book was released on 2010-09-16 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers detailed surveys and systematic discussion of models, algorithms and applications for link mining, focusing on theory and technique, and related applications: text mining, social network analysis, collaborative filtering and bioinformatics.