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Maximizing Influence Through Information Overloaded Online Social Networks
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Book Synopsis Maximizing Influence Through Information-Overloaded Online Social Networks by : Aaron R. Sun
Download or read book Maximizing Influence Through Information-Overloaded Online Social Networks written by Aaron R. Sun and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online social communities have become an important communication channel for people to share and discover information. Pieces of information spread within the community via the underlying social network, from one individual to another. However, with the unprecedented ease and low cost of communication provided by online systems, information overload emerges as a negative factor that potentially threatens the effectiveness of communication. As such, traditional single-message based diffusion models, such as Independent Cascade Model (ICM), are inadequate for describing the role of information overload. We then proposed an extended version of ICM (EICM) that explicitly takes the message multiplicity into account, after examining the message exchange patterns observed from a real online social community. We extensively evaluated this new diffusion model and compared with standard ICM in addressing one fundamental algorithmic problem related to viral marketing: How to select a set of network nodes/individuals to facilitate information diffusion and maximize influence? The evaluation results obtained from using both real and simulated data sets show that our approach results in node-selection heuristics outperforming well-studied notions of various centrality measures based on the ICM. The study and findings presented in this research have important managerial implications. In particular, from a viral marketing perspective, information overload effect should be recognized in order for campaign managers to build advantages in their influence maximization decisions.
Book Synopsis Information and Influence Propagation in Social Networks by : Wei Chen
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.
Book Synopsis Advances in Social Computing by : Sun-Ki Chai
Download or read book Advances in Social Computing written by Sun-Ki Chai and published by Springer Science & Business Media. This book was released on 2010-04 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Social Computing, Behavioral Modeling, and Prediction, SBP 2010, held in Bethseda, MD, USA, in March 2010. The 26 revised full papers and 23 revised poster papers presented together with 4 invited and keynote papers were carefully reviewed and selected from 78 initial submissions. The papers cover a wide range of interesting topics such as social network analysis, modeling, machine learning and data mining, social behaviors, public health, cultural aspects, effects and search.
Book Synopsis Information Overload and Viral Marketing by : Jiesi Cheng
Download or read book Information Overload and Viral Marketing written by Jiesi Cheng and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studying information diffusion through social networks has become an active research topic with important implications in viral marketing applications. One of the fundamental algorithmic problems related to viral marketing is the Influence Maximization (IM) problem: given a social network, which set of nodes should be considered by the viral marketer as the initial targets, in order to maximize the influence of the advertising message. In this work, we study the IM problem in an information-overloaded online social network. Information overload occurs when individuals receive more information than they can process, which can cause negative impacts on the overall marketing effectiveness. Many practical countermeasures have been proposed for alleviating the load of information on recipients. However, how these approaches can benefit viral marketers is not well understood. In our work, we have adapted the classic Information Cascade Model to incorporate information overload and study its countermeasures. Our results suggest that effective control of information overload has the potential to improve marketing effectiveness, but the targeting strategy should be re-designed in response to these countermeasures.
Book Synopsis New Approaches to Maximizing Influence in Large-scale Social Networks by : David Scott Hunter (Ph.D.)
Download or read book New Approaches to Maximizing Influence in Large-scale Social Networks written by David Scott Hunter (Ph.D.) and published by . This book was released on 2020 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the widespread adoption of social media in today’s society, the problem of identifying the most influential individuals whose adoption of a product or action will spread maximally in the network is of increased practical significance. This thesis considers new strategies and methods for this problem, which is known as the influence maximization problem, focusing on a setting where the influence is determined by some function of user opinions. In the first chapter, we introduce a new model of opinion dynamics that is motivated by research in both social psychology and political science. We present a series of theoretical results concerning the convergence of the opinions to an equilibrium, including conditions under which convergence to a fixed point occurs, an explicit characterization of the equilibrium, and the rate of convergence to the equilibrium. In the second chapter, we propose new approaches to the influence maximization problem in a social network when the dynamics adhere to the model in the first chapter. We consider applying these methods on several large-scale real-world social networks. In doing so, we attempt to measure the validity of the model we propose, consider estimating the relative importance of some special users via a centrality function approach, and highlight the computational efficiency of our influence maximization methods. In the final chapter, we introduce an alternative approach to maximizing influence in a social network that has as a solution a dynamic policy that considers when, what, and with whom an agent communicates. We motivate the necessity for a dynamic policy solution by highlighting some realistic behaviors that make modeling and analyzing real-world dynamics difficult. By leveraging reinforcement learning, we learn policies that account for some of these realistic behaviors and find that these policies exhibit impressive performance on large-scale networks.
Book Synopsis Optimal Social Influence by : Wen Xu
Download or read book Optimal Social Influence written by Wen Xu and published by Springer Nature. This book was released on 2020-01-29 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained book describes social influence from a computational point of view, with a focus on recent and practical applications, models, algorithms and open topics for future research. Researchers, scholars, postgraduates and developers interested in research on social networking and the social influence related issues will find this book useful and motivating. The latest research on social computing is presented along with and illustrations on how to understand and manipulate social influence for knowledge discovery by applying various data mining techniques in real world scenarios. Experimental reports, survey papers, models and algorithms with specific optimization problems are depicted. The main topics covered in this book are: chrematistics of social networks, modeling of social influence propagation, popular research problems in social influence analysis such as influence maximization, rumor blocking, rumor source detection, and multiple social influence competing.
Book Synopsis Online Influence Maximization by : Siyu Lei
Download or read book Online Influence Maximization written by Siyu Lei and published by . This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Online Influence Maximization" by Siyu, Lei, 雷思宇, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Social networks, such as Twitter and Facebook, enable the wide spread of information through users' influence on each other. These networks are very useful for marketing purposes. For example, free samples of a product can be given to a few influencers (seed nodes), with the hope that they will convince their friends to buy it. One way to formalize marketers' objective is through the influence maximization problem, which is to find the best seed nodes to influence under a fixed budget so that the number of people who get influenced in the end is maximized. Recent solutions to influence maximization rely on the knowledge of the influence probability of every social network user. This is the probability that a user influences another one, and can be obtained by using users' history of influencing others (called action logs). However, this information is not always available. We propose a novel Online Influence Maximization (OIM) framework, showing that it is possible to maximize influence in a social network in the absence of exact information about influence probabilities. In our OIM framework, we investigate an Explore-Exploit (EE) strategy, which could run any one of the existing influence maximization algorithms to select the seed nodes using the current influence probability estimation (exploit), or the confidence bound of the estimation (explore). We then start the influence campaign using the seed nodes, and consider users' immediate feedback to the campaign to further decide which seed nodes to influence next. Influence probabilities are modeled as random variables and their probability distributions are updated as we get feedback. In essence, we perform influence maximization and learning of influence probabilities at the same time. We further develop an incremental algorithm that can significantly reduce the overhead of handling users' feedback information. We validate the e↵ectiveness and efficiency of our OIM framework on large real-world datasets. Subjects: Online social networks
Book Synopsis Community Detection and Influence Maximization in Online Social Networks by : Kanna Gharib Falahi
Download or read book Community Detection and Influence Maximization in Online Social Networks written by Kanna Gharib Falahi and published by . This book was released on 2014 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The detecting and clustering of data and users into communities on the social web are important and complex issues in order to develop smart marketing models in changing and evolving social ecosystems. These marketing models are created by individual decision to purchase a product and are influenced by friends and acquaintances. This leads to novel marketing models, which view users as members of online social network communities, rather than the traditional view of marketing to individuals. This thesis starts by examining models that detect communities in online social networks. Then an enhanced approach to detect community which clusters similar nodes together is suggested. Social relationships play an important role in determining user behavior. For example, a user might purchase a product that his/her friend recently bought. Such a phenomenon is called social influence and is used to study how far the action of one user can affect the behaviors of others. Then an original metric used to compute the influential power of social network users based on logs of common actions in order to infer a probabilistic influence propagation model. Finally, a combined community detection algorithm and suggested influence propagation approach reveals a new influence maximization model by identifying and using the most influential users within their communities. In doing so, we employed a fuzzy logic based technique to determine the key users who drive this influence in their communities and diffuse a certain behavior. This original approach contrasts with previous influence propagation models, which did not use similarity opportunities among members of communities to maximize influence propagation. The performance results show that the model activates a higher number of overall nodes in contemporary social networks, starting from a smaller set of key users, as compared to existing landmark approaches which influence fewer nodes.
Book Synopsis Influence Optimization Problems in Social Networks by : Shuyang Gu
Download or read book Influence Optimization Problems in Social Networks written by Shuyang Gu and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Online social networks have been developing and prosperous during the last two decades, my dissertation focus on the study of social influence. Several practical problems about social influence are formulated as optimization problems. First, users of online social networks such as Twitter, Instagram have a nature of expanding social relationships. Thus, one important social network service is to provide potential friends to a user that he or she might be interested in, which is called friend recommendation. Different from friend recommendation, which is a passive way for an user to connect with a potential friend, in my work, I tackle a different problem named active friending as an optimization problem about how to friend a person in social networks taking advantage of social influence to increase the acceptance probability by maximizing mutual friends influence. Second, the influence maximization problem has been studied extensively with the development of online social networks. Most of the existing works focus on the maximization of influence spread under the assumption that the number of influenced users determines the success of product promotion. However, the profit of some products such as online game depends on the interactions among users besides the number of users. We take both the number of active users and the user-to-user interactions into account and propose the interaction-aware influence maximization problem. Furthermore, due to the uncertainty in edge probability estimates in social networks, we propose the robust profit maximization problem to have the best solution in the worst case of probability settings.
Book Synopsis Optimal Influence in Social Networks by : Wen Xu
Download or read book Optimal Influence in Social Networks written by Wen Xu and published by . This book was released on 2014 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks, which consist of individuals and relationships between them, are now popular communication platforms for the public. Especially, online social networks such as Facebook and Twitter, have emerged as an important medium for the widespread distribution of news, opinions or rumors in various social events. In this dissertation, we study two types of problems related to influence diffusion in social networks. First, to maximize the product adoption in social networks via the word-of-mouth effect, we study the problem of influence maximization, in which a small set of the most influential users are identified so that their aggregated influence in the network is maximized. We recast the problem to a weighted maximum cut based framework, which analyzes the influence flow among users in the network. Since the problem is NP-hard, we solve it by a semi-definite program based algorithm, which provides about 0.8 approximation of optimal solution with theoretical guarantees. Second, we study the inverse problem of influence diffusion, locating sources of information diffusion, which has important applications such as locating sources of epidemics or rumors in networks. Suppose the spread of rumor follows the probabilistic model, for example, Independent Cascade (IC), without any text or content information, we develop a reachability based score for ranking the importance of nodes as the rumor source. To extend our work, we consider detecting multiple rumors from a deterministic point on general graphs. The problem of Multiple Rumor Source Detection (MRSD) is formally defined as finding a Set Resolving Set (SRS) with the smallest cardinality in the network. Using an analysis framework of submodular functions, we propose a highly efficient greedy algorithm for the MRSD problem, which is polynomial time under some reasonable constraints, that is, there is a constant upper bound for the number of rumor sources.
Book Synopsis Influence and Behavior Analysis in Social Networks and Social Media by : Mehmet Kaya
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.
Book Synopsis Recent Trends in Information and Communication Technology by : Faisal Saeed
Download or read book Recent Trends in Information and Communication Technology written by Faisal Saeed and published by Springer. This book was released on 2017-05-24 with total page 931 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents 94 papers from the 2nd International Conference of Reliable Information and Communication Technology 2017 (IRICT 2017), held in Johor, Malaysia, on April 23–24, 2017. Focusing on the latest ICT innovations for data engineering, the book presents several hot research topics, including advances in big data analysis techniques and applications; mobile networks; applications and usability; reliable communication systems; advances in computer vision, artificial intelligence and soft computing; reliable health informatics and cloud computing environments, e-learning acceptance models, recent trends in knowledge management and software engineering; security issues in the cyber world; as well as society and information technology.
Book Synopsis Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023) by : Katerina Kabassi
Download or read book Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023) written by Katerina Kabassi and published by Springer Nature. This book was released on 2023-10-24 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes the research findings presented at the 3rd International Conference on Novel & Intelligent Digital Systems (NiDS 2023). NiDS 2023 held in Athens, Greece, during September 28–29, 2023, under the auspices of the Institute of Intelligent Systems. The conference was implemented hybrid, allowing participants to attend it either online or onsite. NiDS 2023 places significant importance on the innovations within intelligent systems and the collaborative research that empowers and enriches artificial intelligence (AI) in software development. It encourages high-quality research, establishing a forum for investigating the obstacles and cutting-edge breakthroughs in AI. The conference is designed for experts, researchers, and scholars in artificial and computational intelligence, as well as computer science in general, offering them the opportunity to delve into relevant, interconnected, and mutually complementary fields. By facilitating the exchange of ideas, the conference strengthens and broadens the network of researchers, academics, and industry representatives.
Book Synopsis Community Engagement in the Online Space by : Dennis, Michelle
Download or read book Community Engagement in the Online Space written by Dennis, Michelle and published by IGI Global. This book was released on 2023-02-17 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the advent of the internet, online communities have emerged as a way for users to share their common interests and connect with others with ease. As the possibilities of the online world grew and the COVID-19 pandemic raged across the world, many organizations recognized the utility in not only providing further services online, but also in transitioning operations typically fulfilled in-person to an online space. As society approaches a reality in which most community practices have moved to online spaces, it is essential that community leaders remain knowledgeable on the best practices in cultivating engagement. Community Engagement in the Online Space evaluates key issues and practices pertaining to community engagement in remote settings. It analyzes various community engagement efforts within remote education, online groups, and remote work. This book further reviews the best practices for community engagement and considerations for the optimization of these practices for effective virtual delivery to support emergency environmental challenges, such as pandemic conditions. Covering topics such as community belonging, global health virtual practicum, and social media engagement, this premier reference source is an excellent resource for program directors, faculty and administrators of both K-12 and higher education, students of higher education, business leaders and executives, IT professionals, online community moderators, librarians, researchers, and academicians.
Book Synopsis 33 Million People in the Room by : Juliette Powell
Download or read book 33 Million People in the Room written by Juliette Powell and published by Que Publishing. This book was released on 2009 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Juliette Powell has provided a timely crash course on how to leverage your business's online presence. A must-read for any aspiring entrepreneur, activist, brand manager, or c-level executive." -Jeffrey Stewart, Serial Technology Entrepreneur; Founder, Mimeo, Urgent Career, and Monitor110 "Reading Juliette Powell's book is like perusing the secret trade documents of the most connected social butterfly. Upon first meeting Juliette, she immediately grabbed me by the arm and introduced me to the most important person in the room. When you pick up her book, it's the same experience. She reaches through the pages and gives the reader entry to the halls of power through online networking." -Amy Shuster, Editorial Producer, MSNBC "Juliette knows her way around a social network; she regales us with tales and practical advice from the plastic porous mediascape of today." -David Thorpe, Global Director of Innovation, Ogilvy & Mather "If you are in business or starting one, and wonder what the heck all this talk about social networking is about, this book is the best quick guide I've seen. It's full of juicy stories, backed up by sound social science, lucidly explained." -Howard Rheingold, Author, "Smartmobs"; Professor, Stanford and Berkeley "The exciting new world of online social networking is demonstrating the profound power of these truths to change the very fabric of society as we know it. Our interactions, relationships, and values are changing faster than most of us can comprehend. For some, the pace of this change is alarming. For others it is empowering. In "33 Million People in the Room "Juliette Powell takes us on a funfilled tour of this rapidly changing hypo-manic digital ecosystem simultaneously providing both practical advice and an insightful commentary on the increasing importance of authenticity in modern culture. Along the way we meet a hilarious cast of characters and gain a behind-the-scenes glimpse into real social networking success stories showing how to leverage the power of this modern phenomenon to achieve meaningful social and economic results for you and your business." -Michael Spencer, CTO, ASMALLWORLD "Juliette Powell has captured the strength, excitement, and opportunity of social networks in this compelling work. Opening with an arresting saga about Chris Anderson's debut as the new TED owner, she deftly sketches vignette after vignette that will have you thinking-why not me? Social networking power is awesome for those who have experienced it-but most people remain skeptical, guarded, and untrusting. Give up control? All control? Well, as she explains-YES! I've tried it, using six hundred fifty 'coauthors' to write a book-a book no one could have written, but to which 'everyone' could contribute. It was hard, very hard at first, to relinquish control, just as Powell describes. But the benefits she outlines are real. Try it-you'll see!" -Chuck House, Executive Director, Media X, Stanford University "Digital society is all about expanding and energizing connections between people and ideas in ways we are just starting to understand. "33 Million People in the Room "shares the perspective of an insider and shows us how business, entertainment, and politics all connect in the brave new world of social networking." -Kenny Miller, Creative Director and EVP, MTV Network Global Digital Media "If you thought social networks were just for kids, or geeks, or simply too frivolous for your time, then think again. Juliette Powell reveals the power of connections, the strategies to gain audience and the best practices to build community in this brisk-paced canter through the new tools and techniques for doing business. It's jargon-free and an easy read for those who have never dipped a toe in the water, but even experienced networkers will find wisdom in its pages. Real-world examples make a compelling case for her notion that social capital makes sound business sense and when successfully established can translate into capital in the bank." -Paul Brannan, Deputy Editor, News Interactive, BBC "Juliette Powell has written a book that will advance your understanding of social networking whether you're a nerd, Luddite, a savvy teen blogger, or, most importantly, a business person trying to gain an edge by embracing the latest Internet phenomenon." -Joel Dreyfuss, Editor in Chief, "Red Herring "magazine "Juliette Powell's book "33 Million People in the Room "is the perfect book for the class. Powell understands that social networking is the best way to find like-minded people online, either to pursue an interest, reach a particular goal, create or grow a business, or just to help establish a sense of community among people online and beyond. Bravo Prof. Powell for a job well done!" -Bill Sobel, Sobel Media, NY: MIEG, www.nymieg.org "Juliette Powell has brilliantly answered in rich dimensions "why "you should be deeply involved in this new communications fabric. Through vignettes with the true leaders of this revolution, Juliette has set forth all the energy and steam you need for your boilers to get going and enter the room." -Chris Brogan, Business Advisor, chrisbrogan.com "Juliette Powell has delivered a wonderfully succinct snapshot for embracing social computing as a way of doing business, not just the latest technology trend. Whether you are new to making connections online or are a social computing technology veteran, Juliette encapsulates the themes, concepts, and ideas that are most relevant for anyone in business interested in working in or exploring social computing." -Jeffrey Dachis, Cofounder, Razorfish, Inc.; Cofounder, Senior Partner Bond Art & Science; Chairman, Producers Guild of America New Media Council "Social networking is just not for breakfast anymore. "33 Million People in the Room "demonstrates how it transcends marketing and promotion, connecting people and companies in ways none of us dared dream. Thanks to Juliettte for putting this in perspective, and to social networks for so many of my restless nights." -David Blumenstein, Cofounder, The Hatchery "Juliette Powell puts a human face on the social changes being wrought online, whether describing new tools like MySpace and Facebook, or key concepts like viral communication and social capital." -Clay Shirky, Adjunct Professor, NYU's Graduate Interactive Telecommunications Program (ITP); Author, "Here Comes Everybody" " " "We all recognize that social networking and the technologies of connection and collaboration are an enormous phenomenon. But what do they mean? How can they, how will they be used to create social and economic value? Drawing on her own experience and on the insights of The Gathering Think Tank, Juliette Powell has developed a powerful set of answers to those critical questions. Full of clear explanations, helpful examples, and accessible advice, "33 Million People in the Room "is an important tool for managers and citizens alike-a sourcebook for the next economy." -Lawrence Wilkinson, Cofounder and Vice Chair, Oxygen Media; Cofounder and President, Global Business Network; Cofounder and Chair, Heminge & Condell "Juliette has done a terrific job of capturing the power of and the opportunities presented by social networks. Whether you are looking to maximize the impact of 'You Inc' or a global company, there are important lessons in this book. Things have changed, again, and this book will help you capitalize on it." -Doug Zingale, General Manager of Strategic Partnerships, Zune, Microsoft Corporation Social networks are no fad. They're a permanent reality: one that offers immense opportunities to smart, innovative businesses. Now, top social networking consultant Juliette Powell reveals how dozens of innovators are driving real ROI through social networks-and how you can, too. Powell's wide-ranging research, including coverage on Barack Obama's successful online strategy in his bid for the presidency, focuses on technology, media and gaming companies, leaders in fashion, beauty, publishing, finance, retail, event planning, and beyond. These powerful narratives illuminate the reality of doing business on today's social networks as never before. Through them, Powell introduces new best practices, shows how to avoid crucial pitfalls, and helps you prepare for the newest trends in online social networking. Drawing on the latest research, Powell connects the dots, uncovering the human dynamics and patterns that consistently underlie successful social networking initiatives. Along the way, she offers practical tools and advice for optimizing every stage of your own social networking initiative-from planning through measurement, and beyond. Getting on, getting started, and making social networks work for you Defining and implementing your optimal social networking strategy Leveraging the amazing power of the microcelebrity Achieving worldwide impact in the niche that matters to you Transforming social and cultural capital into financial capital Be generous, build your trusted personal network-and discover all you get in return Profiting from the knowledge you never knew you had Opening your organization's own social networking channels- inside and out
Book Synopsis Digital and Social Media Marketing by : Nripendra P. Rana
Download or read book Digital and Social Media Marketing written by Nripendra P. Rana and published by Springer Nature. This book was released on 2019-11-11 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
Book Synopsis At the Crossroads: Lessons and Challenges in Computational Social Science by : Javier Borge-Holthoefer
Download or read book At the Crossroads: Lessons and Challenges in Computational Social Science written by Javier Borge-Holthoefer and published by Frontiers Media SA. This book was released on 2016-11-29 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays “sociophysics” and “econophysics”, vigorous and challenging areas within the wider “Interdisciplinary Physics”. With tools borrowed from Statistical Physics and Complexity, this new area of study have already made important contributions, which in turn have fostered the development of novel theoretical foundations in Social Science and Economics, via mathematical approaches, agent-based modelling and numerical simulations. From these foundations, Computational Social Science has grown to incorporate as well the empirical component --aided by the recent data deluge from the Web 2.0 and 3.0--, closing in this way the experiment-theory cycle in the best tradition of Physics.
