Characterizing Efficient Referrals in Social Networks

Users of social networks often focus on specific areas of that network, leading to the well-known "filter bubble" effect. Connecting people to a new area of the network in a way that will cause them to become active in that area could help alleviate this effect and improve social welfare. Here we present preliminary analysis of network referrals, that is, attempts by users to connect peers to other areas of the network. We classify these referrals by their efficiency, i.e., the likelihood that a referral will result in a user becoming active in the new area of the network. We show that by using features describing past experience of the referring author and the content of their messages we are able to predict whether referral will be effective, reaching an AUC of 0.87 for those users most experienced in writing efficient referrals. Our results represent a first step towards algorithmically constructing efficient referrals with the goal of mitigating the "filter bubble" effect pervasive in on line social networks.Comment: Accepted to the 2018 Web conference (WWW2018

A longitudinal analysis of the choice between technology-based strategic alliances and acquisitions in high-tech industries : the case of the ASIC industry

Firms producing application specific integrated circuits (ASICs) have established numerous technology based strategic alliances (SAs) and were involved in merger and acquisition activities (M&As) to enhance their competitive position by improving their learning capabilities and the timely access to technological knowledge that is otherwise unavailable. There exist broad economic and managerial strands of literature about SAs and M&As, but they tell us virtually nothing about the strategic choice of firms between technology based SAs and M&As. This article intends to fill this void. It examines the circumstances in which ASIC-producers choose for SAs or M&As and it analyses how prior SAs influence this choice. Finally, implications for innovation management in high-tech industries are examined.research and development ;

The Emergent Logic of Health Law

The American health care system is on a glide path toward ruin. Health spending has become the fiscal equivalent of global warming, and the number of uninsured Americans is approaching fifty million. Can law help to divert our country from this path? There are reasons for deep skepticism. Law governs the provision and financing of medical care in fragmented and incoherent fashion. Commentators from diverse perspectives bemoan this chaos, casting it as an obstacle to change. I contend in this Article that pessimism about health law’s prospects is unjustified, but that a new understanding of health law’s disarray is urgently needed to guide reform. My core proposition is that the law of health care provision is best understood as an emergent system. Its contradictions and dysfunctions cannot be repaired by some master design. No one actor has a grand overview—or the power to impose a unifying vision. Countless market players, public planners, and legal and regulatory decisionmakers interact in oft-chaotic ways, clashing with, reinforcing, and adjusting to each other. Out of these interactions, a larger scheme emerges—one that incorporates the health sphere’s competing interests and values. Change in this system, for worse and for better, arises from the interplay between its myriad actors. By quitting the quest for a single, master design, we can better focus our efforts on possibilities for legal and policy change. We can and should continuously survey the landscape of stakeholders and expectations with an eye toward potential launching points for evolutionary processes—processes that leverage current institutions and incentives. What we cannot do is plan or predict these evolutionary pathways in precise detail; the complexity of interactions among market and government actors precludes fine-grained foresight of this sort. But we can determine the general direction of needed change, identify seemingly intractable obstacles, and envision ways to diminish or finesse them over time. Dysfunctional legal doctrines, interest group expectations, consumers’ anxieties, and embedded institutional and cultural barriers can all be dealt with in this way, in iterative fashion. This Article sets out a strategy for doing so. To illustrate this strategy, I suggest emergent approaches to the most urgent challenges in health care policy and law—the crises of access, value, and cost

When strong ties are strong Networks and youth labor market entry

The conditions under which young workers find their first real post-graduation jobs are both very important for the young’s future careers and insufficiently known given their public policy implications. To study these conditions, and in particular the role played by networks, we use a Swedish population-wide linked employer-employee data set of graduates from all levels of schooling which includes detailed information on family ties, neighborhoods, schools, and class composition over a period covering high as well as low unemployment years. We find that strong social ties (parents) are an important determinant of where young workers find their first job. This remarkably robust effect is estimated controlling for all confounding factors related to time, location, education, occupation, and the interaction of these. The effect is larger if the graduate’s position is “weak” (low education) or during high unemployment years, a pattern which does not emerge when analyzing the role of weak ties (neighbors or friends as measured using classmates and their parents). On the hiring side, by contrast, the effects are larger if the parent’s position is “strong” (e.g. by tenure or wage). We find no evidence of substitution in recruitment over time and fields induced by “family ties hires”. However, we do find that, just after their child is hired in their plant, parents experience a sharp drop in their wage growth. Overall, our results show that strong (family) ties are more important in the job finding process of young workers in weak positions than those weak ties usually measured in the literature (neighbors, in particular), suggesting that labor market experience and education are essential conditions for weak ties to be strong.Weak ties; social networks; youth employment

Social network analysis

Social network analysis comprises a powerful set of techniques for quantifying, differentiating, and interpreting social interactions or relational data in general. This provides a means of interrogating assumptions of independent yet homogeneous actions and pay-offs in economic processes, a particular interest of heterodox approaches to economics. Contemporary applications include modelling opinion leadership among consumers, search and matching in labour markets, collaboration in research and development, patterns of innovation diffusion among firms, and global commodity chains. This chapter introduces the central concepts and methods of social network analysis, including data collection and interpretation considerations and a brief discussion of specialized software in the field. Each is illustrated with an economic application, either a heterodox example or with a discussion of its heterodox implications

Understanding the referral mechanism between general practitioners and specialists in private healthcare using network science

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe following document represents a master thesis dissertation, that consists in the development of a research project in which its main objective is to understand the referral mechanism between primary care physicians and specialists using network science and other tools. The referral network of a healthcare provider denotes an important source of costs and revenue, as it can affect directly the management of its clients and employees, namely through the quality of the care being provided and the level of satisfaction being achieved. The data provided for the development of the study was given by a European industry leader in private healthcare. It is important to highlight that this research study attempts maps the relationships between general practitioners and specialists using a large dataset of doctor’s appointments during 2012 and 2017. These relationships were mapped under the assumptions that two doctors had to share at least one patient, and the period between the two appointments could not be longer than 30 days. Moreover, the impact of the dynamics of the relationships between the two types of doctors in the primary-specialty referral mechanism is done by analyzing the referral patterns exhibited in network, and the performance of the physicians in terms of the centrality measures degree, betweenness and closeness. Additionally, two regression analysis are performed with the objective of identifying potential characteristics that might be affecting the referral rates of doctors. These characteristics include the social network metrics and the physician’s backgrounds

Electronic Health Records: Cure-all or Chronic Condition?

Computer-based information systems feature in almost every aspect of our lives, and yet most of us receive handwritten prescriptions when we visit our doctors and rely on paper-based medical records in our healthcare. Although electronic health record (EHR) systems have long been promoted as a cost-effective and efficient alternative to this situation, clear-cut evidence of their success has not been forthcoming. An examination of some of the underlying problems that prevent EHR systems from delivering the benefits that their proponents tout identifies four broad objectives - reducing cost, reducing errors, improving coordination and improving adherence to standards - and shows that they are not always met. The three possible causes for this failure to deliver involve problems with the codification of knowledge, group and tacit knowledge, and coordination and communication. There is, however, reason to be optimistic that EHR systems can fulfil a healthy part, if not all, of their potential