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In the last few years, literary studies have experienced what we could call the rise of quantitative evidence. This had happened before of course, without producing lasting effects, but this time it’s probably going to be different, because this time we have digital databases, and automated data retrieval. As Michel’s and Lieberman’s recent article on "Culturomics" made clear, the width of the corpus and the speed of the search have increased beyond all expectations: today, we can replicate in a few minutes investigations that took a giant like Leo Spitzer months and years of work. When it comes to phenomena of language and style, we can do things that previous generations could only dream of.
When it comes to language and style. But if you work on novels or plays, style is only part of the picture. What about plot – how can that be quantified? This paper is the beginning of an answer, and the beginning of the beginning is network theory. This is a theory that studies connections within large groups of objects: the objects can be just about anything – banks, neurons, film actors, research papers, friends... – and are usually called nodes or vertices; their connections are usually called edges; and the analysis of how vertices are linked by edges has revealed many unexpected features of large systems, the most famous one being the so-called "small-world" property, or "six degrees of separation": the uncanny rapidity with which one can reach any vertex in the network from any other vertex. The theory proper requires a level of mathematical intelligence which I unfortunately lack; and it typically uses vast quantities of data which will also be missing from my paper. But this is only the first in a series of studies we’re doing at the Stanford Literary Lab; and then, even at this early stage, a few things emerge.
Der historische Index für die in der Titelformulierung zum Ausdruck kommenden kontrast-und spannungsreichen Freundschaftskonstellationen in einem um 1800 sich bildenden urbanen Umfeld wird ersichtlich, wenn man die Unterscheidung von empfindsam geprägten Bekenntnisfreundschaften und diplomatisch geführten Freundschaftsnetzwerken einführt.
Im Beitrag wird auf aktuelle Ergebnisse der Forschung zum mentalen Lexikon eingegangen. Das mentale Lexikon wird dabei aus der Sicht der Netzwerktheorie untersucht. Der Netzwerkcharakter des mentalen Lexikons hat zur Folge, dass die gelernten Wörter nicht voneinander unabhängig existieren: Sie sind miteinander verknüpft. Diese Verknüpfungen sind nicht gleich stark; zudem ist die Richtung dieser Verknüpfung von großer Bedeutung. Assoziationstests in mehreren Sprachen zeigen, dass dasselbe Wort in verschiedenen Sprachen verschiedene Verknüpfungen hat bzw. dass die Stärke der Verknüpfungen zwischen zwei beliebigen Wörtern von Sprache zu Sprache variiert. Beim Fremdsprachenerwerb und Fremdsprachenunterricht werden diese Unterschiede kaum berücksichtigt. Der vorliegende Beitrag analysiert das mentale Lexikon aus der Perspektive der Netzwerke. Dabei wird das Projekt ConnectYourMind vorgestellt, das in mehreren Sprachen Assoziationsdaten sammelt.
The Indian IT industry has received great attention. Although most studies cover South Indian locations, clustering has rarely been a topic. This study focuses on Bangalore addressing questions related to Bangalore’s successful development and lessons thereof for other regions in and outside India. The approach pertains to economic geography and international business; hypotheses have been developed from a multi-disciplinary literature survey and interview fieldwork in Bangalore. I emphasize human and social capital and networks. While the first chapter delineates cultural foundations of human capital formation, the second and third deal with bonding and bridging social capital (or dense and loose networks), respectively; the fourth is an outlook on future opportunities through intersectoral upgrading. The main hypothesis is that a combination of both forms of social networks - contingent upon sub-sectors – has helped Bangalore developing a successful IT industry. Positive attitudes towards education led to relatively more human capital spawning two positive feedbacks: 1) establishment of national research and educational institutes resulting in large inflows of a diversity of people providing the required setting for creativity and innovation; 2) transnational networks linking to Silicon Valley are dominated by people from South India, allowing for additional knowledge spillovers corroborating the regional clustering.