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Short Description:
This work explores seven topics from various subject areas (global public health, environmentalism, human rights, political expression, and human predation) through social imagery and data from social media.

Long Description:
Social imagery, the visuals shared by users via various platforms and applications, may be analyzed to elicit something of massmind (and individual) thinking. This work involves the exploration of seven topics from various subject areas (global public health, environmentalism, human rights, political expression, and human predation) through social imagery and data from social media. The coding techniques involve manual coding, the integration of multiple social data streams, computational text analysis, data visualizations, and other combinations of approaches.

Word Count: 101772

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Sociology of Corruption Course

SOC 410

Course Description:

“Corruption” is a very strong and loud word. Media and press seem to be constantly yelling about
corruption scandals; economists, politicians, and world leaders, everyone is talking about the big “C”
word nowadays. But what does “Corruption” stand for? How is corruption connected to culture and
society? What is the relationship between corruption and inequality? Can corruption be good? This
course addresses these questions by providing a sociological understanding of corruption.
In this course, specific attention will be paid to studying the connection between macro and micro
processes; corruption and culture; corruption and society; corruption and inequality. The course will
start with teaching the basics: the role of social capital and social networks. Further in the course we
will analyze a variety of definitions, opinions, and theories applicable to corruption studies. We will
also explore the ways how political, economic, and sociological processes affect the formation and
development of corruption. These topics will be examined through the prism of social institutions,
cultural contexts, and informal exchange. With the help of comparative analysis, we will gain insight
into the corruption practices that characterize different countries.

Learning Objectives:
By the end of the course, you will:
● Get acquainted with the range of definitions, types, and classifications of corruption;
● Grasp major theories of corruption and sociological theories that help explain the construct of
corruption;
● Be able to interpret the role of culture and values in the definition of corruption;
● Be able to explain the role of “bad apples” and institutionalized corruption;
● Have learned how corruption affects different social institutions and lives of average citizens;
● Understand insights into the social intricacies of corruption in different countries;
● Feel comfortable to discuss and critique current media reports on corruption;
● Apply newly gained knowledge in the research project on the corruption case of your choice.

This project-based course explores new design strategies for social interaction in the computer mediated world. Through weekly readings and design assignments we will examine topics such as:

Data-based portraiture
Depicting growth, change and the passage of time
Visualizing conversations, crowds, and networks
Interfaces for the connected city
Mobile social technologies

The course emphasizes developing visual and interactive literacy.

The wide array of datasets provided in this collection affords educators and learners alike an understanding of several large networks from state roads to the internet. Access data on social networks, Wikipedia use and e-mail communication and much more.

To get a better understanding of complex networks, students create their own, real social network example by interacting with their peers in the classroom and documenting the interactions. They represent the interaction data as a graph, calculate two mathematical quantities associated with the graph—the degree of each node and the degree distribution of the graph—and analyze how these quantities can be used to infer properties of the social network at hand.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Housemates, science shows, share more than just space. The types of microbes that colonize the gut tend to be similar among members of the same family or household. But where does the sharing begin: through contact, environment, or diet? And do more social factors like status play a role? To find out, researchers recently examined the microbiomes of seven neighboring groups of wild Verreaux’s sifakas in Madagascar. Sifakas in the same group tended to have more similar microbiomes, but differences between groups weren’t explained by differences in diet, home range, or habitat. Maternal lineage was an important driver of similarity within groups and may also explain why adult group members, which are generally less related, shared the least similar gut microbiota. In addition, dominant males had different microbiomes than their group-mates, possibly because of rank-related differences in physiology and scent-marking behaviors..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Short Description:
Social media, digital devices, and networked communication systems have become fully integrated into our everyday living experience. This e-book touches upon the human experience of contemporary trends that affect how we perceive ourselves, others, and society.

Long Description:
Authored as a companion to COMM601 Trends in Digital & Social Media, Granite State College (USNH), Concord, NH.

Word Count: 25859

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Students will collect and analyze relevant social data on individual and community knowledge, risk perception and preparedness within their local social networks.

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Short Description:
Introduction to Sociology adheres to the scope and sequence of a typical introductory sociology course. In addition to comprehensive coverage of core concepts, foundational scholars, and emerging theories, we have incorporated section reviews with engaging questions, discussions that help students apply the sociological imagination, and features that draw learners into the discipline in meaningful ways. Although this text can be modified and reorganized to suit your needs, the standard version is organized so that topics are introduced conceptually, with relevant, everyday experiences.

Long Description:
Introduction to Sociology adheres to the scope and sequence of a typical introductory sociology course. In addition to comprehensive coverage of core concepts, foundational scholars, and emerging theories, we have incorporated section reviews with engaging questions, discussions that help students apply the sociological imagination, and features that draw learners into the discipline in meaningful ways. Although this text can be modified and reorganized to suit your needs, the standard version is organized so that topics are introduced conceptually, with relevant, everyday experiences.

For the student, this book is based on the teaching and research experience of numerous sociologists. In today’s global socially networked world, the topic of Sociology is more relevant than ever before. We hope that through this book, students will learn how simple, everyday human actions and interactions can change the world. In this book, you will find applications of Sociology concepts that are relevant, current, and balanced.

For instructors, this text is intended for a one-semester introductory course and includes these features: Sociological Research: Highlights specific current and relevant research studies. Sociology in the Real World: Ties chapter content to student life and discusses sociology in terms of the everyday. Big Picture: Features present sociological concepts at a national or international level. Case Study: Describes real-life people whose experiences relate to chapter content. Social Policy and Debate: Discusses political issues that relate to chapter content. Section Summaries distill the information in each section for both students and instructors down to key, concise points addressed in the section. Key Terms are bold and are followed by a definition in context. Definitions of key terms are also listed in the Key Terms, which appears at the end of each chapter. Section Quizzes provide opportunities to apply and test the information students learn throughout each section. Both multiple-choice and short-response questions feature a variety of question types and range of difficulty. Further Research: This feature helps students further explore the section topic and offers related research topics that could be explored.

Word Count: 390921

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This course is intended to introduce graduate students to a set of core writings in the field of urban sociology. Topics include the changing nature of community, social inequality, political power, socio-spatial change, technological change, and the relationship between the built environment and human behavior. We examine the key theoretical paradigms that have constituted the field since its founding, assess how and why they have changed over time, and discuss the implications of these paradigmatic shifts for urban scholarship, social policy and the planning practice.

This course explores the creative dialectic—and sometimes conflict—between sociology and urban policy and design. Topics include the changing conceptions of "community," the effects of neighborhood characteristics on individual outcomes, the significance of social capital and networks, the drivers of categorical inequality, and the interaction of social structure and political power. Students will examine key theoretical paradigms that have constituted sociology since its founding, assess how and why they have changed over time, and discuss the implications of these shifts for urban research and planning practice.
This seminar took place at the Massachusetts Correctional Institution in Norfolk, MA, with half the class from MIT and half of the class from MCI Norfolk via the Boston University Prison Education Program. The location and composition of the class was chosen based on the belief that bringing together students of sociology and urban studies who are incarcerated with those who are at MIT would create a unique and valuable environment in which to generate new knowledge about our social world and the repeated mechanisms that contribute to persistent socio-economic inequality and other pressing social problems.

The course examines the causes and effects of rapid urbanization in developing countries. Using case studies from the world's four major developing regions, including (among others) Mexico City, Buenos Aires, Managua, Singapore, Hong Kong, Guangzhou, Kabul, Beirut, Cairo, Kinshasa, Cape Town and Johannesburg, it explores the economic and political dynamics that grease the wheels of contemporary patterns of growth. In addition to examining both local and transnational forces that drive contemporary urbanization, the course focuses on key issues that emerge in rapidly growing cities of the developing world, ranging from growing income inequality and socio-economic exclusion, environmental challenges, and rising violence. Class sessions are discussion-based and focus on a critical analysis of the arguments presented in the readings.

Students analyze dramatic works using graph theory. They gather data, record it in Microsoft Excel and use Cytoscape (a free, downloadable application) to generate graphs that visually illustrate the key characters (nodes) and connections between them (edges). The nodes in the Cytoscape graphs are color-coded and sized according to the importance of the node (in this activity nodes represent characters in the work and their relative importance to the story). After the analysis, the graphs are further examined to see what the visual depiction of the story in the form of a graph tells readers about the inner workings of the dramatic work. Students gain practice with graph theory vocabulary, including node, edge, betweeness centrality and degree on interaction, and learn about a range of engineering applications of graph theory.

Using Internet Communication enhances students' theoretical understanding of electronic communication and their ability to communicate as professionals, scholars, and citizens using the Internet. Participants learn core communication theoretical models and principles, and apply them to electronic communication methods that enhance interpersonal, small group, and public interactions. These methods include electronic meetings, discussion forums, co-authoring tools, audio, and video.

The aim of this demonstration is to teach students how to use Gephi software for social network data analysis.

Over the past several days there's been an outpouring of anger across all social networks against the proposed SOPA/PIPA bills currently being considered in Congress

This video lesson will introduce students to algorithmic thinking through the use of a popular field in graph theory—social networking. Specifically, by acting as nodes in a graph (i.e. people in a social network), the students will experientially gain an understanding of graph theory terminology and distance in a graph (i.e. number of introductions required to meet a target person). Once the idea of distance in a graph has been built, the students will discover Dijkstra's Algorithm. The lesson should take approximately 90 minutes and can be comfortably partitioned across two class sessions if necessary (see the note in the accompanying Teacher Guide). There are no special supplies needed for this class and all necessary hand-outs can be downloaded from this website.

Diversity begets creativity—in this seminar we tap the amazing power of swarm creativity on the Web by studying and working together as Collaborative Innovation Networks (COINs). As interdisciplinary teams of MIT management, SCAD design, University of Cologne informatics, and Aalto University software engineering students we will explore how to discover latest trends on the Web, and how to make them succeed in online social networks. We study a wide range of methods for predictive analytics (coolhunting) and online social marketing (coolfarming), mostly based on social network analysis and the emerging science of collaboration. Students will also learn to use our own unique MIT-developed Condor tool for Web mining, social network analysis, and trend prediction.