Social Network Analysis

Behavioral dynamics of tax evasion – A survey

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The Economic Psychology Of Tax Behaviour

Public health thrives on high-quality evidence, yet acquiring meaningful data on a population remains a central challenge of public health research and practice. Social monitoring, the analysis of social media and other user-generated web data, has brought advances in the way we leverage population data to understand health. Social media offers advantages over traditional data sources, including real-time data availability, ease of access, and reduced cost. Social media allows us to ask, and answer, questions we never thought possible. This book presents an overview of the progress on uses of social monitoring to study public health over the past decade. We explain available data sources, common methods, and survey research on social monitoring in a wide range of public health areas. Our examples come from topics such as disease surveillance, behavioral medicine, and mental health, among others. We explore the limitations and concerns of these methods. Our survey of this exciting new field of data-driven research lays out future research directions.

Social Monitoring for Public Health

The environmental engineering discipline has focused much of its historical efforts in developing regions of the world on advancing environmental sustainability through improving provision of water, sanitation, and hygiene (WASH) services. However, the skills and expertise that reside within the discipline of environmental engineering are fundamental to achieve a much broader range of sustainable development goals, including those related to health, climate, water, energy, and food security; economic development; and reduction of social inequalities. Accordingly, this article critically reviews several focus areas where environmental engineering should assume a more active presence in the global community that seeks to achieve sustainability in developing regions of the world. The 10 environmental engineering Grand Challenges for the developing world covered are: (1) understand the historical perspective of the discipline's connection with public health as the field transitions forward; (2) integ...

The Grandest Challenge of All: The Role of Environmental Engineering to Achieve Sustainability in the World's Developing Regions

http://socialcomplexity.gmu.edu/files/2015/09/An-Agent.based-Model-of-Network-Effects-on-Tax-Compliance-and-Evasion.pdf

An agent-based model of network effects on tax compliance and evasion

Background: It is challenging to assess the quality of care and detect elder abuse in nursing homes, since patients may be incapable of reporting quality issues or abuse themselves, and resources for sending inspectors are limited. Objective: This study correlates Google reviews of nursing homes with Centers for Medicare and Medicaid Services (CMS) inspection results in the Nursing Home Compare (NHC) data set, to quantify the extent to which the reviews reflect the quality of care and the presence of elder abuse. Methods: A total of 16,160 reviews were collected, spanning 7,170 nursing homes. Two approaches were tested: using the average rating as an overall estimate of the quality of care at a nursing home, and using the average scores from a maximum entropy classifier trained to recognize indications of elder abuse. Results: The classifier achieved an F-measure of 0.81, with precision 0.74 and recall 0.89. The correlation for the classifier is weak but statistically significant: = 0.13, P < .001, and 95% confidence interval (0.10, 0.16). The correlation for the ratings exhibits a slightly higher correlation: = 0.15, P < .001. Both the classifier and rating correlations approach approximately 0.65 when the effective average number of reviews per provider is increased by aggregating similar providers. Conclusions: These results indicate that an analysis of Google reviews of nursing homes can be used to detect indications of elder abuse with high precision and to assess the quality of care, but only when a sufficient number of reviews are available.

/pdf/assessing-quality-of-care-and-elder-abuse-in-nursing-homes-2nz1iw1b67.pdf

Assessing Quality of Care and Elder Abuse in Nursing Homes via Google Reviews

In the wake of super typhoon Yolanda (known internationally as Haiyan) in the Philippines in 2013, many individuals in the Philippines turned to social media to express their thoughts and emotions in a variety of languages. In order to understand and analyze the sentiment of populations on the ground, we used a novel approach of developing a conceptual Linguistic Inquiry and Word Count (LIWC) dictionary comprised of Tagalog words relating to disaster. This work-in-progress paper documents our process of filtering and choosing terms and offers suggestions for validating the dictionary. When results on how the dictionary was used are available, we can better assess the process for creating conceptual LIWC dictionaries.

Developing a Tagalog Linguistic Inquiry and Word Count (LIWC) â€˜Disasterâ€™ Dictionary for Understanding Mixed Language Social Media: A Work-in-Progress Paper

Increased interaction, adaptability, diversity, and emergence are all hallmarks of complexity (Miller and Page 2007; see Simon 1996). While anthropologists may not use these specific complexity theory terms, they have long been interested in how diverse people interact and adapt in their negotiation of identity and society and what sorts of social phenomena emerge from these interactions. A complexity theory perspective can interpret culture or cultural practices as either the base rules from which identity emerges (consider Appadurai 1996) or the emergent system itself, the "webs of significance" in which humans are embedded (see Geertz 1973).

Amanda Andrei

Papers

An agent-based model of network effects on tax compliance and evasion

Assessing Quality of Care and Elder Abuse in Nursing Homes via Google Reviews

Developing a Tagalog Linguistic Inquiry and Word Count (LIWC) â€˜Disasterâ€™ Dictionary for Understanding Mixed Language Social Media: A Work-in-Progress Paper

Agent-Based Models and Ethnography: Combining Qualitative and Computational Techniques with Complexity Theory

Investigating the Effects of Network Structures in Massive Agent-Based Models of Tax Evasion