Bookmarked Face the Racist Nation (On the Media | WNYC Studios)

An investigation into the media's coverage of white supremacist groups. 

For more than a year, Lois Beckett [@loisbeckett], senior reporter at The Guardian US, has been showing up at white nationalist rallies, taking their pictures, writing down what they say. And she finds herself thinking: How did we get here? How did her beat as a political reporter come to include interviewing Nazis? And what are the consequences of giving these groups this much coverage?

In this week's program we take a deep dive into what the news media often get wrong about white supremacists, and what those errors expose about the broader challenge of confronting racism in America.

1. Elle Reeve [@elspethreeve], correspondent for VICE News, Anna Merlan [@annamerlan], reporter for Gizmodo Media’s special projects desk, Vegas Tenold [@Vegastenold], journalist and author of Everything You Love Will Burn, and Al Letson [@Al_Letson], host of Reveal, from The Center for Investigative Reporting, on the pitfalls and perils of covering white supremacist groups.

2. Felix Harcourt [@FelixHistory], professor of history at Austin College and author of "Ku Klux Kulture," on the history of the Ku Klux Klan in the press in the 1920s.

3. Anna Merlan, Elle Reeve, Al Letson, Gary Younge [@garyyounge], editor-at-large for The Guardian, and Josh Harkinson [@joshharkinson], former senior writer at Mother Jones, on how individual identity impacts reporting on discriminatory movements.

4. Ibram X. Kendi [@DrIbram], professor of history and international relations at American University and author of "Stamped from the Beginning: The Definitive History of Racist Ideas in America," on the enduring myths surrounding the perpetuation of racist ideas and whose interests these misconceptions serve.

🔖 Creative Commons, OER, and Open Practices | Féile Blackboard, CELT, NUI Galway | Google Docs

Bookmarked Creative Commons, OER, and Open Practices (Féile Blackboard, CELT, NUI Galway | Google Docs)

This guide accompanies a professional development workshop on Open Education offered by the Centre for Excellence in Learning & Teaching (CELT), NUI Galway. The guide has five sections:

  1. Open Educational Resources (OER)
  2. Open licensing and Creative Commons
  3. Why use open practices?
  4. How to open up my practice?
  5. Summary

👓 Anomie | Wikipedia

Read Anomie (Wikipedia)

Anomie (/ˈænəˌmi/) is a "condition in which society provides little moral guidance to individuals". It is the breakdown of social bonds between an individual and the community, e.g., under unruly scenarios resulting in fragmentation of social identity and rejection of self-regulatory values.

The term is commonly understood to mean normlessness, and believed to have been popularized by French sociologist Émile Durkheim in his influential book Suicide (1897). However, Durkheim first introduces the concept of anomie in his 1893 work 'The Division of Labour In Society.' Durkheim never used the term normlessness; rather, he described anomie as "derangement", and "an insatiable will". Durkheim used the term "the malady of the infinite" because desire without limit can never be fulfilled; it only becomes more intense.

🔖 The End of History? by Francis Fukuyama

Bookmarked The End of History? by Francis Fukuyama (The National Interest | No. 16 (Summer 1989), pp. 3-18)
IN WATCHING the flow of events over the past decade or so, it is hard to avoid the feeling that something very fundamental has happened in world history. The past year has seen a flood of articles commemorating the end of the Cold War, and the fact that "peace" seems to be breaking out in many regions of the world. Most of these analyses lack any larger conceptual framework for distinguishing between what is essential and what is contingent or accidental in world history, and are predictably superficial. If Mr. Gorbachev were ousted from the Kremlin or a new Ayatollah proclaimed the millennium from a desolate Middle Eastern capital, these same commentators would scramble to announce the rebirth of a new era of conflict.

And yet, all of these people sense dimly that there is some larger process at work, a process that gives coherence and order to the daily headlines. The twentieth century saw the developed world descend into a paroxysm of ideological violence, as liberalism contended first with the remnants of absolutism, then bolshevism and fascism, and finally an updated Marxism that threatened to lead to the ultimate apocalypse of nuclear war. But the century that began full of self-confidence in the ultimate triumph of Western liberal democracy seems at its close to be returning full circle to where it started: not to an "end of ideology" or a convergence between capitalism and socialism, as earlier predicted, but to an unabashed victory of economic and political liberalism.

🔖 The building blocks of economic complexity | César A. Hidalgo and Ricardo Hausmann| PNAS

Bookmarked The building blocks of economic complexity by César A. Hidalgo and Ricardo Hausmann (PNAS)
For Adam Smith, wealth was related to the division of labor. As people and firms specialize in different activities, economic efficiency increases, suggesting that development is associated with an increase in the number of individual activities and with the complexity that emerges from the interactions between them. Here we develop a view of economic growth and development that gives a central role to the complexity of a country's economy by interpreting trade data as a bipartite network in which countries are connected to the products they export, and show that it is possible to quantify the complexity of a country's economy by characterizing the structure of this network. Furthermore, we show that the measures of complexity we derive are correlated with a country's level of income, and that deviations from this relationship are predictive of future growth. This suggests that countries tend to converge to the level of income dictated by the complexity of their productive structures, indicating that development efforts should focus on generating the conditions that would allow complexity to emerge to generate sustained growth and prosperity.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

🔖 Brokerage and Closure: An Introduction to Social Capital by Ronald S. Burt

Bookmarked Brokerage and Closure: An Introduction to Social Capital by Ronald S. Burt (Oxford University Press)
Almost everything that happens in a firm flows through informal networks builts by advice, coordination, cooperation, friendship, gossip, knowledge, and trust. In this book, Ron Burt builds upon his celebrated work on network analyses to explain how these informal networks functions and the role of network entrepreneurs who have amassed social capital. Burt shows that social capital is a critical element in business strategy. Who has it, how it works and how to develop it have become key questions as markets, organizations and careers become more and more dependent on informal discretionary relationships. Informal relations have always mattered. What is new is the range of activities in which they now matter, and the emerging clarity we have about how they create advantage for certain people at the expense of others. This advantage is created by brokerage and closure. Brokerage is the activity of people who live at the intersecting of social worlds, who can see and develope good ideas. Closure is the tightening of coordination on a closed network of people. Brokerage and Closure explores how these elements work together to define social capital, showing how in the business world reputation has come to replace authority and reward has come to be associated with achieving competitive advantage in a social order of continuous disequilibrium.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

🔖 The Strength of Weak Ties | American Journal of Sociology: Vol 78, No 6

Bookmarked The Strength of Weak Ties by Mark S. Granovetter (American Journal of Sociology 78, no. 6 (May, 1973): 1360-1380. https://doi.org/10.1086/225469)
Analysis of social networks is suggested as a tool for linking micro and macro levels of sociological theory. The procedure is illustrated by elaboration of the macro implications of one aspect of small-scale interaction: the strength of dyadic ties. It is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another. The impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored. Stress is laid on the cohesive power of weak ties. Most network models deal, implicitly, with strong ties, thus confining their applicability to small, well-defined groups. Emphasis on weak ties lends itself to discussion of relations between groups and to analysis of segments of social structure not easily defined in terms of primary groups.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

🔖 Network medicine: a network-based approach to human disease | Albert-László Barabási, Natali Gulbahce & Joseph Loscalzo | Nature Reviews Genetics

Bookmarked Network medicine: a network-based approach to human disease by Albert-László Barabási, Natali Gulbahce & Joseph Loscalzo (Nature Reviews Genetics | volume 12, pages 56–68 (2011))

Abstract
Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular and intercellular network that links tissue and organ systems. The emerging tools of network medicine offer a platform to explore systematically not only the molecular complexity of a particular disease, leading to the identification of disease modules and pathways, but also the molecular relationships among apparently distinct (patho)phenotypes. Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.

Key points

  • A disease phenotype is rarely a consequence of an abnormality in a single effector gene product, but reflects various pathobiological processes that interact in a complex network.
  • Here we present an overview of the organizing principles that govern cellular networks and the implications of these principles for understanding disease. Network-based approaches have potential biological and clinical applications, from the identification of disease genes to better drug targets.
  • Whereas essential genes tend to be associated with hubs, or highly connected proteins, disease genes tend to segregate at the network's functional periphery, avoiding hubs.
  • Disease genes have a high propensity to interact with each other, forming disease modules. The identification of these disease modules can help us to identify disease pathways and predict other disease genes.
  • The highly interconnected nature of the interactome means that, at the molecular level, it is difficult to consider diseases as being independent of one another. The mapping of network-based dependencies between pathophenotypes has culminated in the concept of the diseasome, which represents disease maps whose nodes are diseases and whose links represent various molecular relationships between the disease-associated cellular components.
  • Diseases linked at the molecular level tend to show detectable comorbidity.
  • Network medicine has important applications to drug design, leading to the emergence of network pharmacology, and also in disease classification.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

🔖 A Dynamic Network Approach for the Study of Human Phenotypes | PLOS Computational Biology

Bookmarked A Dynamic Network Approach for the Study of Human Phenotypes by César A. Hidalgo , Nicholas Blumm, Albert-László Barabási, Nicholas A. Christakis (PLOS Computational Biology)
Author Summary: To help the understanding of physiological failures, diseases are defined as specific sets of phenotypes affecting one or several physiological systems. Yet, the complexity of biological systems implies that our working definitions of diseases are careful discretizations of a complex phenotypic space. To reconcile the discrete nature of diseases with the complexity of biological organisms, we need to understand how diseases are connected, as connections between these different discrete categories can be informative about the mechanisms causing physiological failures. Here we introduce the Phenotypic Disease Network (PDN) as a map summarizing phenotypic connections between diseases and show that diseases progress preferentially along the links of this map. Furthermore, we show that this progression is different for patients with different genders and racial backgrounds and that patients affected by diseases that are connected to many other diseases in the PDN tend to die sooner than those affected by less connected diseases. Additionally, we have created a queryable online database (http://hudine.neu.edu/) of the 18 different datasets generated from the more than 31 million patients in this study. The disease associations can be explored online or downloaded in bulk.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

🔖 Statistical mechanics of complex networks | Rev. Mod. Phys. 74, 47 (2002)

Bookmarked Statistical mechanics of complex networks by Réka Albert and Albert-László Barabási (Reviews of Modern Physics 74, 47 (2002))
Complex networks describe a wide range of systems in nature and society. Frequently cited examples include the cell, a network of chemicals linked by chemical reactions, and the Internet, a network of routers and computers connected by physical links. While traditionally these systems have been modeled as random graphs, it is increasingly recognized that the topology and evolution of real networks are governed by robust organizing principles. This article reviews the recent advances in the field of complex networks, focusing on the statistical mechanics of network topology and dynamics. After reviewing the empirical data that motivated the recent interest in networks, the authors discuss the main models and analytical tools, covering random graphs, small-world and scale-free networks, the emerging theory of evolving networks, and the interplay between topology and the network's robustness against failures and attacks.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

🔖 Emergence of Scaling in Random Networks by Albert-Laszlo Barabasi and Reka Albert | Science

Bookmarked Emergence of Scaling in Random Networks by Albert-László Barabási, Réka Albert (Science)
Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

🔖 Some Statistics of Evolution and Geographical Distribution in Plants and Animals, and their Significance by J.C. Willis & Udny Yule | Nature

Bookmarked Some Statistics of Evolution and Geographical Distribution in Plants and Animals, and their Significance by J. C. Willis and G. Udny Yule (Nature volume 109, pages 177–179)
Abstract
IN a paper read at the Linnean Society under the above title on February 2, the statistical methods long employed in “Age and Area” were pushed to their final conclusion. Age and area (review in Ann. of Bot., October, 1921, p. 493) is the name given to a principle gradually discovered in many years of work upon the flora of Ceylon, which, in brief, affirms that if one take groups of not less than ten allied species and compare them with similar groups allied to the first, the relative total areas occupied in a given country, or in the world, will be more or less proportional (whether directly or not we do not yet know) to their relative total ages, within that country or absolutely, as the case may be. The longer a group has existed the more area will it occupy. Tens are compared in order to eliminate chance differences as much as possible, and allied groups to avoid as far as may be the complications introduced by different ecological habit, etc. Herbs, for example, probably spread much more rapidly than trees, but both will obey Age and Area. It is of course obvious that age of itself cannot effect dispersal, but inasmuch as predictions as to distribution of species, occurrence of endemics, etc., can be successfully made upon the basis of age alone, it is clear that the average rate of spreading of a given species, and still more of a group of allied species, is very uniform, and therefore affords a measure of age. The result of the work is to show that in general the species (and genera) of smallest areas are the youngest, and are descended from the more widespread species that usually occur beside them.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

🔖 Equilibrium points in n-person games by John Nash | PNAS

Bookmarked Equilibrium points in n-person games by John F. Nash Jr. (PNAS 36 (1) 48-49; https://doi.org/10.1073/pnas.36.1.48)

One may define a concept of an n-person game in which each player has a finite set of pure strategies and in which a definite set of payments to the n players corresponds to each n-tuple of pure strategies, one strategy being taken for each player. For mixed strategies, which are probability distributions over the pure strategies, the pay-off functions are the expectations of the players, thus becoming polylinear forms in the probabilities with which the various players play their various pure strategies.

Any n-tuple of strategies, one for each player, may be regarded as a point in the product space obtained by multiplying the n strategy spaces of the players. One such n-tuple counters another if the strategy of each player in the countering n-tuple yields the highest obtainable expectation for its player against the n − 1 strategies of the other players in the countered n-tuple. A self-countering n-tuple is called an equilibrium point.

The correspondence of each n-tuple with its set of countering n-tuples gives a one-to-many mapping of the product space into itself. From the definition of countering we see that the set of countering points of a point is convex. By using the continuity of the pay-off functions we see that the graph of the mapping is closed. The closedness is equivalent to saying: if P1, P2, … and Q1, Q2, …, Qn, … are sequences of points in the product space where Qn → Q, Pn → P and Qn counters Pn then Q counters P.

Since the graph is closed and since the image of each point under the mapping is convex, we infer from Kakutani’s theorem1 that the mapping has a fixed point (i.e., point contained in its image). Hence there is an equilibrium point.

In the two-person zero-sum case the “main theorem”2 and the existence of an equilibrium point are equivalent. In this case any two equilibrium points lead to the same expectations for the players, but this need not occur in general.

Communicated by S. Lefschetz, November 16, 1949

🔖 Trust: The Social Virtues and The Creation of Prosperity by Francis Fukuyama

Bookmarked Trust: The Social Virtues and The Creation of Prosperity by Francis Fukuyama (Free Press)
In his bestselling The End of History and the Last Man, Francis Fukuyama argued that the end of the Cold War would also mean the beginning of a struggle for position in the rapidly emerging order of 21st-century capitalism. In Trust, a penetrating assessment of the emerging global economic order "after History," he explains the social principles of economic life and tells us what we need to know to win the coming struggle for world dominance. Challenging orthodoxies of both the left and right, Fukuyama examines a wide range of national cultures in order to divine the underlying principles that foster social and economic prosperity. Insisting that we cannot divorce economic life from cultural life, he contends that in an era when social capital may be as important as physical capital, only those societies with a high degree of social trust will be able to create the flexible, large-scale business organizations that are needed to compete in the new global economy. A brilliant study of the interconnectedness of economic life with cultural life, Trust is also an essential antidote to the increasing drift of American culture into extreme forms of individualism, which, if unchecked, will have dire consequences for the nation's economic health.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

Given the large number of “Trust” and “Truth” related books being released this year, most in reference to Donald J. Trump’s administration, this might be an interesting read which takes him out of the equation and potentially better underlines the bigger problem we’re seeing in a growing anti-scientific leaning America?

🔖 An Experimental Study of the Small World Problem by Jeffrey Travers and Stanley Milgram | Sociometry

Bookmarked An Experimental Study of the Small World Problem by Jeffrey Travers and Stanley Milgram (Sociometry | American Sociological Association)
Arbitrarily selected individuals (N=296) in Nebraska and Boston are asked to generate acquaintance chains to a target person in Massachusetts, employing "the small world method" (Milgram, 1967). Sixty-four chains reach the target person. Within this group the mean number of intermediaries between starters and targets is 5.2. Boston starting chains reach the target person with fewer intermediaries than those starting in Nebraska; subpopulations in the Nebraska group do not differ among themselves. The funneling of chains through sociometric "stars" is noted, with 48 per cent of the chains passing through three persons before reaching the target. Applications of the method to studies of large scale social structure are discussed.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)