Network Persistence And The Axis Of Hierarchy

Network Persistence and the Axis of Hierarchy shows how networks, modestly redefined as a strong, yet imperfect tendency for pairings to recur day after day, that is, stickiness, imply a singular axis of stratification. This is contrary to the nearly universal insistence that stratification is multidimensional. Reanalysis of three central mobility data sets sustains the novel claim. Network concepts provide a supple base for analysis whereby order and regularity are strongly sustained in network neighborhoods but are not necessarily uniform or universal. This provides new takes, often quite radical, on accounts of structure and order by authors such as Pierre Bourdieu, Randall Collins and Talcott Parsons.

Network Persistence and the Axis of Hierarchy shows how networks, modestly redefined as a strong, yet imperfect tendency for pairings to recur day after day, that is, stickiness, imply a singular axis of stratification. This is contrary to the nearly universal insistence that stratification is multidimensional. Reanalysis of three central mobility data sets sustains the novel claim. Network concepts provide a supple base for analysis whereby order and regularity are strongly sustained in network neighborhoods but are not necessarily uniform or universal. This provides new takes, often quite radical, on accounts of structure and order by authors such as Pierre Bourdieu, Randall Collins and Talcott Parsons.

In The Struggle for Development and Democracy Alessandro Olsaretti proposes a humanist social science as a first step to overcome the flaws of neoliberalism, and to recover a balanced approach that is needed in the wake of the 9/11 attacks.

In recent decades, the international economy has witnessed fundamental changes in the way manufacturing is organised: products are no longer manufactured in their entirety in a single location. Instead, the production process is often split across a number of stages located in countries that are frequently far apart from each other. By spreading out their manufacturing and supply chain activities globally through international investment and intra-firm trade, Multinational enterprises (MNEs) play a focal role in this reorganisation of production. Our ability to understand the global economy, therefore, requires an understanding of the interdependencies between the entities involved in such fragmented production. Traditional methods and statistical approaches are insufficient to address this challenge. Instead, an approach is required that allows us to account for these interdependencies. The most promising approach so far is network analysis. ‘Networks of International Trade and Investment’ makes a case for the use of network analysis alongside existing techniques in order to investigate pressing issues in international business and economics. The authors put forward a range of well-informed studies that examine compelling topics such as the role of emerging economies in global trade and the evolution of world trade patterns. They look at how network analysis, as both an approach and a methodology, can explain international business and economics phenomena, in particular, in relation to international trade and investment. Providing a comprehensive but accessible explanation of the applications of network analysis and some of the most recent methodological advances in its field, this edited volume is an important contribution to research in international trade and investment.

This timely text introduces topological data analysis from scratch, with detailed case studies.

I. Learning & Memory: Elizabeth Phelps & Lila Davachi (Volume Editors) Topics covered include working memory; fear learning; education and memory; memory and future imagining; sleep and memory; emotion and memory; motivation and memory; inhibition in memory; attention and memory; aging and memory; autobiographical memory; eyewitness memory; and category learning.