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Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook
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.
If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success.
Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook
This first-rate introduction to the study of social networks combines a hands-on manual with an up-to-date review of the latest research and techniques. The authors provide a thorough grounding in the application of the methods of social network analysis. They offer an understanding of the theory of social structures in which social network analysis is grounded, a summary of the concepts needed for dealing with more advanced techniques, and guides for using the primary computer software packages for social network analysis.
Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. - Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA - Demonstrates how visual analytics research can be applied to SNA tools for the mass market - Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis - Download companion materials and resources at https://nodexl.codeplex.com/documentation
The Handbook of Entrepreneurship Research: Disciplinary Perspectives strives to increase awareness and stimulate research in numerous important topics in the field, particularly those underdeveloped areas of study with more relevance to scholarship and theory than to the practice of entrepreneurship. For example, less research has focused on the importance of the macroeconomic environment to firm founding, on social and kinship ties as sources of entrepreneurial activity, and the interaction between institutions and entrepreneurship. We do so by drawing attention to the relevant research in the disciplines of economics and sociology. This volume of the Handbook hopes to begin to bridge the gap between the research in entrepreneurship and the core disciplines by introducing views of entrepreneurship from disciplinary perspectives. As such, this volume of the Handbook is intended to complement and build on the first volume by focusing on a select set of issues and examining them in an in-depth manner.
Startup Rising presents a surprising look at the surge of entrepreneurship that accompanied the uprisings in the Middle East, and why it's the new best place for Western investment and opportunity. Despite the world's elation at the Arab Spring, shockingly little has changed politically in the Middle East; even frontliners Egypt and Tunisia continue to suffer repression, fixed elections, and bombings, while Syria descends into civil war. But in the midst of it all, a quieter revolution has begun to emerge, one that might ultimately do more to change the face of the region: entrepreneurship. As a seasoned angel investor in emerging markets, Christopher M. Schroeder was curious but skeptical about the future of investing in the Arab world. Travelling to Dubai, Cairo, Amman, Beirut, Istanbul, and even Damascus, he saw thousands of talented, successful, and intrepid entrepreneurs, all willing to face cultural, legal, and societal impediments inherent to their worlds. Equally important, he saw major private equity firms, venture capitalists, and tech companies like Google, Intel, Cisco, Yahoo, LinkedIn, and PayPal making significant bets, despite the uncertainty in the region. With Startup Rising, he marries his own observations with the predictions of these tech giants to offer a surprising and timely look at the second stealth revolution in the Middle East-one that promises to reinvent it as a center of innovation and progress.
With business advice from an expert entrepreneur, learn how to identify and leverage the key factors that will bring sustainability and success to your startup. Kathleen Kelly Janus, a lecturer at the Stanford University Program on Social Entrepreneurship and the founder of the successful social enterprise Spark, set out to investigate what makes a startup succeed or fail. She surveyed more than 200 high-performing social entrepreneurs and interviewed dozens of founders. Social Startup Success shares her findings for the legions of entrepreneurs working for social good, revealing how the best organizations get over the revenue hump. How do social ventures scale to over $2 million, Janus's clear benchmark for a social enterprise's sustainability? ​Janus, tapping into strong connections to the Silicon Valley world where many of these ventures are started or and/or funded, reveals insights from key figures such as DonorsChoose founder Charles Best, charity:water's Scott Harrison, Reshma Saujani of Girls Who Code and many others. Social Startup Success will be social entrepreneurship's essential playbook; the first definitive guide to solving the problem of scale.
Social networking is a concept that has existed for a long time; however, with the explosion of the Internet, social networking has become a tool for people to connect and communicate in ways that were impossible in the past. The recent development of Web 2.0 has provided many new applications, such as Myspace, Facebook, and LinkedIn. The purpose of Handbook of Social Network Technologies and Applications is to provide comprehensive guidelines on the current and future trends in social network technologies and applications in the field of Web-based Social Networks. This handbook includes contributions from world experts in the field of social networks from both academia and private industry. A number of crucial topics are covered including Web and software technologies and communication technologies for social networks. Web-mining techniques, visualization techniques, intelligent social networks, Semantic Web, and many other topics are covered. Standards for social networks, case studies, and a variety of applications are covered as well.