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So einfach ist Mathematik – Mathematische Modellierung
by Dirk Langemann Cordula ReischDieses Buch ist eine Einführung und gleichzeitig eine Diskussion der mathematischen Modellierung. Ausschnitte der Wirklichkeit werden mit mathematischen Methoden beschrieben, um Phänomene und Vorgänge zu erklären. Sie haben Freude an Mathematik, und Sie sind neugierig darauf, Beobachtungen aus dem Alltag, aus den Natur- und Ingenieurwissenschaften, aus den Gesellschaftswissenschaften und dem Zusammenleben der Menschen zu verstehen und mathematisch zu beschreiben? Dieses Buch erzählt Ihnen, worum es bei der mathematischen Modellierung geht, welche Überlegungen zu etablierten Modellen führen und wie Sie eigene mathematische Modelle entwickeln. Es behandelt Anwendungen aus der Mechanik, aus der Populationsdynamik, aus der Mikroökonomie und anderen Wissensgebieten. Gleichzeitig reflektieren wir, was wir tun und was wir - meist ohne es uns bewusst zu machen - voraussetzen, wenn wir beobachtete Phänomene mathematisch modellieren. Schon immer betrachten wissenschaftlich neugierige Menschen Phänomene erst als verstanden, wenn mathematische Modelle etabliert sind, die zutreffende Vorhersagen liefern. Diese Neugier hält bis heute an, führt zu neuen Einblicken, zur Entwicklung moderner Ansätze wie dem Maschinellen Lernen und damit zu immer neuen Modellen.
So einfach ist Mathematik – Partielle Differenzialgleichungen für Anwender
by Dirk Langemann Cordula ReischGott sprach: „Es werde Licht, und es ward ...“ steht auf manchem T-Shirt, und unter diesem Zitat findet man mit den Maxwell-Gleichungen dekorative und sehr anspruchsvolle partielle Differentialgleichungen zur Beschreibung elektromagnetischer Phänomene.Dieses Buch erzählt Ihnen, worum es bei der Beschäftigung mit partiellen Differentialgleichungen geht, woher sie kommen, was sie beschreiben, welche großen Fragen mit ihnen verbunden sind und warum diese Fragen so schwierig sind, wie sie sind, ohne sie in aller mathematischen Schwere zu behandeln. Vielmehr vermittelt Ihnen dieses Buch einen anschaulichen Einstieg und einen Überblick, der von der Herleitung der Wärmeleitungsgleichung und einem energetisch bedenklichen Studentenzimmer über die Schwingungsgleichung, den Produktansatz, die Spektralzerlegung bis zu den Grundideen der Finite-Elemente-Methode als dem Standardverfahren zur numerischen Behandlung von partiellen Differentialgleichungen reicht.Sie werden Freude haben, sich mit partiellen Differentialgleichungen zu beschäftigen, mit denen fast alle Vorgänge in der Natur beschrieben werden können, und Sie lüpfen so den Schleier, der über den Mysterien der Wirklichkeit liegt.Anregungen zur Übung und eigenen Beschäftigung sind in den Text eingestreut.
So viel Mathe muss sein!: Gut vorbereitet in ein WiMINT-Studium
by Klaus Dürrschnabel Rolf Dürr Wolfgang Erben Matthias Gercken Karin Lunde Rita Wurth Marc ZimmermannMithilfe dieses Arbeitsbuchs wird der Leser auf die mathematischen Herausforderungen in einem WiMINT-Studium vorbereitet. Kurze, verständlich formulierte Texte frischen Schulwissen wie logisches Begründen, Bruchrechnen, Differenzialrechnung oder lineare Gleichungssysteme wieder auf. Hierbei helfen eine Vielzahl an Beispielen und Aufgaben mit Lösungen sowie Selbsttests am Anfang jedes Kapitels, mögliche Stolperfallen schon frühzeitig zu identifizieren. Thematisch orientiert sich das Arbeitsbuch am sogenannten cosh-Mindestanforderungskatalog, welcher von Lehrenden aus Schule und Hochschule gemeinsam entwickelt wurde. Dieser hält nach übereinstimmender Meinung vieler deutscher Hochschulen, Dachverbände und Dozenten das für ein WiMINT-Studium notwendige mathematische Vorwissen fest. Neben allgemeinen mathematischen Kompetenzen werden elementare Algebra, Geometrie, Analysis, lineare Algebra und analytische Geometrie abgedeckt.
So viel Mathe muss sein!: Gut vorbereitet in ein WiMINT-Studium
by Klaus Dürrschnabel Rolf Dürr Wolfgang Erben Matthias Gercken Karin Lunde Rita Wurth Marc Zimmermann Torsten SchatzMithilfe dieses Arbeitsbuches können sich Studieninteressierte auf die mathematischen Herausforderungen in einem WiMINT-Studium vorbereiten. Kurze, verständlich formulierte Texte frischen Schulwissen wie logisches Begründen, Bruchrechnen, Differentialrechnung oder lineare Gleichungssysteme wieder auf. Hierbei helfen eine Vielzahl an Beispielen und Aufgaben mit Lösungen sowie Selbsttests am Anfang jedes Kapitels, mögliche Stolperfallen schon frühzeitig zu identifizieren. Thematisch orientiert sich das Arbeitsbuch am sogenannten cosh-Mindestanforderungskatalog, welcher von Lehrenden aus Schule und Hochschule gemeinsam entwickelt wurde. Dieser hält nach übereinstimmender Meinung vieler deutscher Hochschulen, Dachverbände und Hochschullehrenden das für ein WiMINT-Studium notwendige mathematische Vorwissen fest. Neben allgemeinen mathematischen Kompetenzen werden elementare Algebra, Geometrie, Analysis, lineare Algebra und analytische Geometrie sowie Stochastik abgedeckt.
So, How Big Is Earth?
by Amy TaoBeliefs about the shape of the earth have varied over the millennia, but the Ancient Greeks were able to observe that our planet is round and even Eratosthenes attempted to measure its size. It was not until explorers had fully charted the globe that most people were really able to comprehend its spherical shape.
Sobolev Inequalities, Heat Kernels under Ricci Flow, and the Poincare Conjecture
by Qi S. ZhangFocusing on Sobolev inequalities and their applications to analysis on manifolds and Ricci flow, Sobolev Inequalities, Heat Kernels under Ricci Flow, and the Poincare Conjecture introduces the field of analysis on Riemann manifolds and uses the tools of Sobolev imbedding and heat kernel estimates to study Ricci flows, especially with surgeries. The
Sobolev Spaces on Metric Measure Spaces: An Approach Based on Upper Gradients
by Juha Heinonen Pekka Koskela Nageswari Shanmugalingam Jeremy T. TysonAnalysis on metric spaces emerged in the 1990s as an independent research field providing a unified treatment of first-order analysis in diverse and potentially nonsmooth settings. Based on the fundamental concept of upper gradient, the notion of a Sobolev function was formulated in the setting of metric measure spaces supporting a Poincaré inequality. This coherent treatment from first principles is an ideal introduction to the subject for graduate students and a useful reference for experts. It presents the foundations of the theory of such first-order Sobolev spaces, then explores geometric implications of the critical Poincaré inequality, and indicates numerous examples of spaces satisfying this axiom. A distinguishing feature of the book is its focus on vector-valued Sobolev spaces. The final chapters include proofs of several landmark theorems, including Cheeger's stability theorem for Poincaré inequalities under Gromov-Hausdorff convergence, and the Keith-Zhong self-improvement theorem for Poincaré inequalities.
Soccer Analytics: An Introduction Using R (Chapman & Hall/CRC Data Science Series)
by Clive BeggsSports analytics is on the rise, with top soccer clubs, bookmakers, and broadcasters all employing statisticians and data scientists to gain an edge over their competitors.Many popular books have been written exploring the mathematics of soccer. However, few supply details on how soccer data can be analysed in real-life. The book addresses this issue via a practical route one approach designed to show readers how to successfully tackle a range of soccer related problems using the easy-to-learn computer language R. Through a series of easy-to-follow examples, the book explains how R can be used to: Download and edit soccer data Produce graphics and statistics Predict match outcomes and final league positions Formulate betting strategies Rank teams Construct passing networks Assess match play Soccer Analytics: An Introduction Using R is a comprehensive introduction to soccer analytics aimed at all those interested in analysing soccer data, be they fans, gamblers, coaches, sports scientists, or data scientists and statisticians wishing to pursue a career in professional soccer. It aims to equip the reader with the knowledge and skills required to confidently analyse soccer data using R, all in a few easy lessons.
Social Accounting for Industrial and Transition Economies (Routledge Revivals)
by Solomon CohenThis title was first published in 2002: Showing how the social accounting matrix provides a comprehensive framework for the analysis and tabulation of national statistics and how it can assist in developing economic policy, this work also demonstrates the key aspects of this approach in dealing with a wide range of economic and social issues. The reference, and the accompanying volume, "Social Accounting and Economic Modelling for Developing Countries" should be useful for researchers, instructors, policy makers and scholars.
Social Background and the Demographic Life Course: Cross-National Comparisons
by Aart C. Liefbroer Mioara Zoutewelle-TerovanThis open access book examines how childhood social disadvantage influences young-adult demographic decision-making and later-life economic and well-being outcomes. This book in particular focuses on testing whether the consequences of childhood social disadvantage for adult outcomes differ across societies, and whether these differences are shaped by the “context of opportunities” that societies offer to diminish the adverse impact of economic and social deprivation. The book integrates a longitudinal approach and provides new insights in how the experience of childhood disadvantage (e.g. low parental socio-economic status, family disruption) influences demographic decisions in adulthood (e.g. the timing of family-events such as cohabitation, marriage or parenthood; the risk of divorce or having a child outside a partner relationship; the exposure to later-life loneliness, poor health, and economic adversity). Moreover, using a cross-national comparative perspective it investigates whether the relationships of interest differ across nations, and tests the “context of opportunities” hypothesis arguing that the links between childhood disadvantage and adult outcomes are weakened in societal contexts offering good opportunities for people to escape situations of deprivation. To do so, the book analyzes national contexts based on economic prosperity, family values and norms, and welfare-state arrangements.
Social Capital and Subjective Well-Being: Insights from Cross-Cultural Studies (Societies and Political Orders in Transition)
by Alejandro Moreno Anna Almakaeva Rima WilkesThis book presents a cross-cultural investigation into the interplay between social capital and subjective well-being. Based on a quantitative analysis of the latest large-N cross-cultural data sets, including the World Value Survey and the European Social Survey, and covering various countries, it offers a comparative perspective on and new insights into the determinants of social capital and well-being. By identifying both universal and culture-specific patterns, the authors shed new light on the spatial and temporal differentiation of social capital and subjective well-being. The book is divided into two main parts: The first discusses mutual trust, religious and cultural tolerance, and pro-social and human values as essential dimensions of social capital. In turn, the second part studies social capital as a source of subjective well-being and life satisfaction. Given its scope, the book will appeal to scholars of sociology, social psychology, political science and economics seeking a deeper understanding of the multi-faceted nature of social capital and well-being.
Social Data Analytics
by Amin Beheshti Samira Ghodratnama Mehdi Elahi Helia FarhoodThis book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.
Social Demography of South Africa: Advances and Emerging Issues
by Clifford O. Odimegwu John KekovoleThis edited collection investigates what progress has been made in the field of social demography in South Africa since the democratic dispensation in the country. Contributors offer a compilation of in-depth analytical studies of substantive, technical and contemporary issues in the South African demographic landscape. Accessible and topical, it is a useful reference guide to those working in disciplines such as sociology, geography, statistics and economics, and to all those trying to understand the role of national statistical agency in national development planning in Africa. This book project is funded by Statistics South Africa, Pretoria, South Africa.
Social Design: Essays in Memory of Leonid Hurwicz (Studies in Economic Design)
by Walter TrockelThis book contains invited essays in memory of Leonid Hurwicz spanning a large area of economic, social and other sciences where the implementation or enforcement of institutions and rules requires the design of effective mechanisms. The foundations of these articles are set by social choice concepts; game theory; Nash, Bayesian and Walrasian equilibria; complete and incomplete information. Besides in-depth treatments of well-established parts of mechanism and implementation theory, contributions on novel directions deal, for instance, with a quantum approach to game and decision making under uncertainty; digitalization; and the design of block chain for trading. The outstanding competence and reputation of the authors reflect the appreciation of the fundamental contributions and the lasting admiration of the personality and the work of Leonid Hurwicz.
Social Exclusion in Later Life: Interdisciplinary and Policy Perspectives (International Perspectives on Aging #28)
by Kieran Walsh Thomas Scharf Sofie Van Regenmortel Anna WankaDrawing on interdisciplinary, cross-national perspectives, this open access book contributes to the development of a coherent scientific discourse on social exclusion of older people. The book considers five domains of exclusion (services; economic; social relations; civic and socio-cultural; and community and spatial domains), with three chapters dedicated to analysing different dimensions of each exclusion domain. The book also examines the interrelationships between different forms of exclusion, and how outcomes and processes of different kinds of exclusion can be related to one another. In doing so, major cross-cutting themes, such as rights and identity, inclusive service infrastructures, and displacement of marginalised older adult groups, are considered. Finally, in a series of chapters written by international policy stakeholders and policy researchers, the book analyses key policies relevant to social exclusion and older people, including debates linked to sustainable development, EU policy and social rights, welfare and pensions systems, and planning and development. The book’s approach helps to illuminate the comprehensive multidimensionality of social exclusion, and provides insight into the relative nature of disadvantage in later life. With 77 contributors working across 28 nations, the book presents a forward-looking research agenda for social exclusion amongst older people, and will be an important resource for students, researchers and policy stakeholders working on ageing.
Social Fitness and Resilience: A Review of Relevant Constructs, Measures, and Links to Well-Being
by Juliana McgeneOne of a series of reports designed to support Air Force leadership in promoting resilience among Airmen, its civilian employees, and Air Force family members, this report examines social fitness, or the combination of resources from social connections that influence how individuals respond to stressful circumstances. It assesses the current social fitness constructs and measures in scientific literature to identify methods of increasing social connectedness and support among U. S. Airmen and their families.
Social Inequality in Japan: Social Inequality In Japan (Nissan Institute/Routledge Japanese Studies)
by Sawako ShirahaseJapan was the first Asian country to become a mature industrial society, and throughout the 1970s and the 1980s, was viewed as an ‘all-middle-class society’. However since the 1990s there have been growing doubts as to the real degree of social equality in Japan, particularly in the context of dramatic demographic shifts as the population ages whilst fertility levels continue to fall. This book compares Japan with America, Britain, Italy, France, Germany, Sweden and Taiwan in order to determine whether inequality really is a social problem in Japan. With a focus on impact demographic shifts, Sawako Shirahase examines female labour market participation, income inequality among households with children, the state of the family, generational change, single person households and income distribution among the aged, and asks whether increasing inequality and is uniquely Japanese, or if it is a social problem common across all of the societies included in this study. Crucially, this book shows that Japan is distinctive not in terms of the degree of inequality in the society, but rather, in how acutely inequality is perceived. Further, the data shows that Japan differs from the other countries examined in terms of the gender gap in both the labour market and the family, and in inequality among single-person households – single men and women, including lifelong bachelors and spinsters – and also among single parent households, who pay a heavy price for having deviated from the expected pattern of life in Japan. Drawing on extensive empirical data, this book will be of great interest to students and scholars interested in Japanese culture and society, Japanese studies and social policy more generally.
Social Issues in China: Gender, Ethnicity, Labor, and the Environment
by Zhidong Hao Sheying ChenSince 1978, the opening up and reform in China has brought tremendous economic and social changes. While China's economic progress has been commendable, the social problems that go with economic changes have raised serious concerns. Some of those concerns are related to gender, ethnic, labor, and environmental issues. This book is about what has happened in these arenas in China since the opening up and reform in 1978. The study of gender, ethnicity, labor, and environment touches on some of the fundamental problems of modernization, especially the development of individuals and groups. So even though gender, ethnicity, labor, and environment seem to be separate issues, they are in fact related in some fundamental ways. That's what this book will explore as well. To understand is one thing and to do is another. This book also incorporates studies of NGO practices to see how NGOs have helped in transforming gender, ethnic, labor, and environment interplay. Our study of NGOs in helping improve such interplay sheds light on how specifically civil society can prod the state to transform social relations for the better. This book is an attempt to assess the changes, both positive and negative, in gender, ethnic, ethnic, and environmental relations in China especially in the past 30 years of opening up and reform, especially regarding national identity formation.
Social Measurement and Social Indicators: Issues of Policy and Theory (Contemporary Social Research)
by Michael CarleyFor the early pioneers of the social indicator movement, the possibilities of doing social good by developing the tools of social measurement seemed endless. However, in the early 1980s these high, and perhaps naïve, hopes remained unfulfilled, especially for the data needs of the policy-maker. If not pessimistic, administrators and public policy-makers were at least guarded about the usefulness of social indicators as an aid to increasingly complex decision-making.These difficulties reflected both policy-related and methodological issues. Originally published in 1981, Social Measurement and Social Indicators is not a ‘how-to’ guide on the construction of social indicators, but rather a critical and optimistic view of these central issues, as embodied in the literature and in practice at the time. Michael Carley contrasts some of the basic problems of social measurement with government’s needs for reliable information, organised by their policy usefulness and statistical sophistication.The book then discusses the critical relationship between social indicators and social theories and models, as well as the role of social information in the policy process. Later chapters look at the audience, the problems, and the prospects for national social reports; and explore in detail three different applications of social indicators to urban analysis. Throughout the book helpful examples are drawn from North American, UK and European experience.Social Measurement and Social Indicators is aimed at a cross-disciplinary audience in government and the universities. For students, it will serve as a compact introduction to the broad field of social indicators; for administrators, it explores philosophical and measurement problems and suggests criteria for interpretation; for researchers, it places social indicator efforts into a wider policy analysis perspective – with its inescapable political value judgemental, and bureaucratic aspects.
Social Media Analysis for Event Detection (Lecture Notes in Social Networks)
by Tansel ÖzyerThis book includes chapters which discuss effective and efficient approaches in dealing with various aspects of social media analysis by using machine learning techniques from clustering to deep learning. A variety of theoretical aspects, application domains and case studies are covered to highlight how it is affordable to maximize the benefit of various applications from postings on social media platforms. Social media platforms have significantly influenced and reshaped various social aspects. They have set new means of communication and interaction between people, turning the whole world into a small village where people with internet connect can easily communicate without feeling any barriers. This has attracted the attention of researchers who have developed techniques and tools capable of studying various aspects of posts on social media platforms with main concentration on Twitter. This book addresses challenging applications in this dynamic domain where it is not possible to continue applying conventional techniques in studying social media postings. The content of this book helps the reader in developing own perspective about how to benefit from machine learning techniques in dealing with social media postings and how social media postings may directly influence various applications.
Social Media Communication Data for Recovery: Detecting Socio-Economic Activities Following a Disaster
by Yuya ShibuyaThis book explores the possibility of using social media data for detecting socio-economic recovery activities. In the last decade, there have been intensive research activities focusing on social media during and after disasters. This approach, which views people’s communication on social media as a sensor for real-time situations, has been widely adopted as the “people as sensor” approach. Furthermore, to improve recovery efforts after large-scale disasters, detecting communities’ real-time recovery situations is essential, since conventional socio-economic recovery indicators, such as governmental statistics, are not published in real time. Thanks to its timeliness, using social media data can fill the gap. Motivated by this possibility, this book especially focuses on the relationships between people’s communication on Twitter and Facebook pages, and socio-economic recovery activities as reflected in the used-car market data and the housing market data in the case of two major disasters: the Great East Japan Earthquake and Tsunami of 2011 and Hurricane Sandy in 2012. The book pursues an interdisciplinary approach, combining e.g. disaster recovery studies, crisis informatics, and economics. In terms of its contributions, firstly, the book sheds light on the “people as sensors” approach for detecting socio-economic recovery activities, which has not been thoroughly studied to date but has the potential to improve situation awareness during the recovery phase. Secondly, the book proposes new socio-economic recovery indicators: used-car market data and housing market data. Thirdly, in the context of using social media during the recovery phase, the results demonstrate the importance of distinguishing between social media data posted both by people who are at or near disaster-stricken areas and by those who are farther away.
Social Media in the Changing Mathematics Classroom (Advances in Mathematics Education)
by Johann Engelbrecht Greg Oates Marcelo de Carvalho BorbaThis edited volume gathers contributions from international scholars focusing on social media's role and impact on mathematics education. Social media's integration into pedagogical strategies (from social networking sites to video-sharing platforms) offers the opportunity to enhance learning by fostering connectivity and engagement among students, ultimately improving mathematical understanding in educational settings. This text aims to provide guidance on the facilitation of peer learning and collaboration, as well as highlighting the necessary shift in traditional methods to include cyber assistance in the learning process. The book discusses how social media aligns with social-constructivist theories of learning, its consistency with the process of developing students into independent learners and provides means to ensuring educators remain relevant and connected to students' preferred modes of learning. Challenges and benefits of the use of social media tools in teaching are also detailed. Examining the potential for effective integration of social media in the classroom, this book is a valuable resource for educators, practitioners and researchers interested in mathematics education.
Social Media, Sociality, and Survey Research
by Craig A. Hill Elizabeth Dean Joe MurphyProvides the knowledge and tools needed for the future of survey researchThe survey research discipline faces unprecedented challenges, such as falling response rates, inadequate sampling frames, and antiquated approaches and tools. Addressing this changing landscape, Social Media, Sociality, and Survey Research introduces readers to a multitude of new techniques in data collection in one of the fastest developing areas of survey research.The book is organized around the central idea of a "sociality hierarchy" in social media interactions, comprised of three levels: broadcast, conversational, and community based. Social Media, Sociality, and Survey Research offers balanced coverage of the theory and practice of traditional survey research, while providing a conceptual framework for the opportunities social media platforms allow. Demonstrating varying perspectives and approaches to working with social media, the book features:New ways to approach data collection using platforms such as Facebook and TwitterAlternate methods for reaching out to interview subjectsDesign features that encourage participation with engaging, interactive surveysSocial Media, Sociality, and Survey Research is an important resource for survey researchers, market researchers, and practitioners who collect and analyze data in order to identify trends and draw reliable conclusions in the areas of business, sociology, psychology, and population studies. The book is also a useful text for upper-undergraduate and graduate-level courses on survey methodology and market research.
Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection (Lecture Notes in Social Networks)
by Mehmet Kaya Min-Yuh Day Sleiman Alhajj Kashfia SailunazThis book is an excellent source of knowledge for readers interested in the latest developments in social network analysis and mining, particularly with applications in healthcare and anomaly detection. It covers topics such as sensitivity to noise in features, enhancing fraud detection in financial systems, measuring the echo-chamber phenomenon, detecting comorbidity, and evaluating the effectiveness of mitigative and preventative actions on viral spread in small communities using agent-based stochastic simulations. Additionally, it discusses predicting behavior, measuring and identifying influence, analyzing the impact of COVID-19 on various social aspects, and using UNet for handling various skin conditions. This book helps readers develop their own perspectives on adapting social network concepts to various applications. It also demonstrates how to use various machine learning techniques for tackling challenges in social network analysis and mining.
Social Network Analysis in Action: Basic Methods and Applications (Lecture Notes in Social Networks)
by Song YangThis book offers a balanced view between a basic introduction of Social Network Analysis (SNA) in its methods and application, and advanced topics of data mining techniques and the subsequent SNA analyses. The book stands out as uniquely important contribution to the SNA field because it moves beyond the stage of basic SNA methods. It describes data mining techniques, introducing an online discourse collection platform, ICAS, which is developed by an interdisciplinary team involving Sociologists and Computer Engineer teams with supports of NSF funds.Targeted audiences of this book are students and scholars interested in using SNA techniques to advance their analytics of their respective research areas. This book provides particular utilities to students at the beginner stage of learning SNA basics, and those in their intermediary careers looking to advance their knowledges of what SNA has to offer. The unique features of this book lie in its descriptions of data mining techniques, data processing, and data analytics. The discussions of an online discourse network platform and data processing capabilities present tremendous benefits to those who aspire to mine the massive data of online social networking.