We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

Random graphs

Social Network Analysis

What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

The emergence of global history has been one of the more notable features of academic history over the past three decades. Although historians of disease were among the pioneers of one of its earlier incarnations—world history—the recent “global turn” has made relatively little impact on histories of health, disease, and medicine. Most continue to be framed by familiar entities such as the colony or nation-state or are confined to particular medical “traditions.” This article aims to show what can be gained from taking a broader perspective. Its purpose is not to replace other ways of seeing or to write a new “grand narrative” but to show how transnational and transimperial approaches are vital to understanding some of the key issues with which historians of health, disease, and medicine are concerned. Moving on from an analysis of earlier periods of integration, the article offers some reflections on our own era of globalization and on the emerging field of global health.

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A Global Perspective: Reframing the History of Health, Medicine, and Disease.

Despite the ubiquity of disaster and the increasing toll in human lives and financial costs, much research and policy remain focused on physical infrastructure–centered approaches to such events. Governmental organizations such as the Department of Homeland Security, United States Federal Emergency Management Agency, United States Agency for International Development, and United Kingdom’s Department for International Development continue to spend heavily on hardening levees, raising existing homes, and repairing damaged facilities despite evidence that social, not physical, infrastructure drives resilience. This article highlights the critical role of social capital and networks in disaster survival and recovery and lays out recent literature and evidence on the topic. We look at definitions of social capital, measurement and proxies, types of social capital, and mechanisms and application. The article concludes with concrete policy recommendations for disaster managers, government decision makers, and no...

http://daldrich.weebly.com/uploads/1/5/5/0/15507740/aldrich_american_behavioral_scientist_2014.pdf

Social Capital and Community Resilience

This book has a catchy title and nice cover art, adding to the reader’s anticipation that it will be an absorbing—and entertaining— read. The price is reasonable, making it potentially attractive as a text. And the book is, in fact, generally quite well written. America’s romance with technology is complicated, contradictory, and confusing, and it certainly deserves more scholarly attention. However, much has already been written on this subject, not enough of which finds its way into the pages of this book. The introduction suggests that its author, fiction writer and English professor Glen Scott Allen, imagines an audience largely unfamiliar with social and cultural studies of science and technology, and tends to leave the impression that he is unfamiliar with much of this work himself. Allen concentrates on what he sees as Americans’ suspicion of the purely scientific, as opposed to the technological, a suspicion that he correctly surmises may have roots in social class distinctions. He reports that in researching this book, he ‘‘began to wonder to what extent . . . American culture [has] shaped American scientific practice’’ (p. 5), as though this were an entirely original question. In Chapter One, he marvels that in 1848 the American Association for the Advancement of Science adopted promotion of the ‘‘purer’’ sciences as its goal (p. 17), and in general implies surprise at his discovery of the social, political, and class-based character of science (although it is not exactly clear how the AAAS vision is an argument that Americans distrust science, instead of an argument that at least some of us approve of it). He discusses the ‘‘selling’’ of American science in Chapter Three without any apparent reference either to the work of sociologist Dorothy Nelkin or to that of media historian Marcel Lafollette, two scholars especially well-known for their careful documentation of how media representations of science and technology have historically served this purpose. Then, in Chapter Four, Allen presents American Pragmatism without reference to John Dewey, who makes only a cameo appearance a few pages later. Surely Dewey’s contribution to Pragmatism would have been an excellent pillar on which to build any argument about American perspectives on practical knowledge. Finally, as a postscript about two pages from the end of the entire work, Allen confesses that two issues ‘‘not specifically addressed in this book are race and gender’’ (p. 260). Struggling to express my reaction to this latter statement in particularly appropriate scholarly language, the phrase that seems to sum it up best is : ‘‘Well, duh!’’ While some of Allen’s insights into American culture are intriguing—for example, our preference for the practical and our obsession with efficiency certainly ring true—they are not ideally persuasive as presented because of the book’s tendency to ignore too many important issues and scholars. Allen may have read more broadly in the sociology and history of science – as well as in media studies and philosophy—than this presentation of his subject matter implies; if so, he ought to have reflected this reading in what he has written here. A dose of empiricism may be helpful in this context. While it seems to be true (on the basis of most relevant opinion polls) that today’s Americans prefer science that has economic or social benefits (for example, science that creates jobs, health, and wealth), it is also true that Americans continue to like and trust science as well as technology (even while some segments are doubtful about specific points, such as evolution and climate change). If, as Allen apparently takes as his premise, suspicion of all things purely scientific is a peculiarly American cultural

Unanticipated Gains: The Origins of Network Inequality in Everyday Life:

The extent to which older and younger people do different activities when they are with others and when they are alone is examined in this article. I leverage interpersonal data in combination with information on activities from the American Time Use Survey to shed light on the long held finding that older people have less social contact than younger people. The results show that, net of intervening factors, age is associated with declines in time spent with others for virtually all types of time use. However, the variety of activities that older and younger people do also differs. Using leisure activities to probe this finding reveals that, when older people spend time with others it tends to be during activities that are sui generis social activities-such as attending parties-but that this is not necessarily the case for younger people. The literature on time use and aging is discussed in light of these findings and a new hypothesis on agency in the life course is proposed.

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Age Differences in Daily Social Activities

The informR package greatly simplifies the analysis of complex event histories in 𝖱 by providing user friendly tools to build sufficient statistics for the relevent package. Historically, building sufficient statistics to model event sequences (of the form a→b) using the egocentric generalization of Butts' (2008)relational event framework for modeling social action has been cumbersome. The informR package simplifies the construction of the complex list of arrays needed by the rem() model fitting for a variety of cases involving egocentric event data, multiple event types, and/or support constraints. This paper introduces these tools using examples from real data extracted from the American Time Use Survey.

https://www.jstatsoft.org/article/view/v064i05/v64i05.pdf

Constructing and Modifying Sequence Statistics for relevent Using informR in .

In this paper, we employ archival materials from multiple institutional sources to reconstruct the dynamic network of interorganizational collaboration that emerged in response to the Hurricane Katrina disaster of late 2005. Over the period from initial storm formation through the first week following landfall in Louisiana, we record active participation by over 1,500 organizations in response activities. We here conduct an exploratory analysis of the growth and evolution of the network of collaboration among responding organizations, an identification of organizations that emerged as central actors in the response process, and the cohesive subgroups that crystallized within the larger network. Finally, we conclude with a discussion of several issues related to the use of archival methods in research on interorganizational networks in disaster settings, and to the use of automated methods for network extraction.

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Interorganizational Collaboration in the Hurricane Katrina Response.

The delegation of decision-making capacity from one actor to another—known variously as authority or control—is a central phenomenon of organizational sociology. Despite its theoretical and practical significance, however, the dynamics of control within disrupted settings (such as disasters) remain poorly understood. Here, we shed light on this question by a reexamination of historical data on multiorganizational disaster response networks, using recently developed statistical methods for robust inference from error-prone informant reports. Specifically, we test competing hypotheses about the relationship of control during the response process to the structure of interorganizational communication. We find that both the realized and normative response hierarchies are likely shaped by coordination among both nonadjacent alters and along indirect channels. Our results suggested that the communication structure of these networks is consistent with a control at a distance model of command. This article makes a substantial contribution to understanding the role of network structure in the emergence of control between organizations in disrupted settings. Additionally, our innovative approach to network inference will guide researchers in dealing with error-prone data in their own research on policy networks.

Christopher Steven Marcum

Papers

Unanticipated Gains: The Origins of Network Inequality in Everyday Life:

Age Differences in Daily Social Activities

Constructing and Modifying Sequence Statistics for relevent Using informR in .

Interorganizational Collaboration in the Hurricane Katrina Response.

Mechanisms of Control in Emergent Interorganizational Networks: Marcum/Bevc/Butts: Control in Interorganizational Networks