Peter A. Gloor

Bio: Peter A. Gloor is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Social network analysis & Social network. The author has an hindex of 37, co-authored 211 publications receiving 4918 citations. Previous affiliations of Peter A. Gloor include University of Cologne & Union Bank of Switzerland.

The web mirrors value in the real world: comparing a firm’s valuation with its web network position

Abstract: This paper compares a firm's innovation and performance with its online Web presence measured through the Web network structure. 489 firms in five different industries listed on the United States and Chinese stock markets are investigated. Using Web link data collected from Bing, blogs, Twitter and Wikipedia, we find positive correlation between betweenness centrality of a firm in the Web network and its innovation capability; and between betweenness centrality and financial performance. In order to get more accurate forecasting results, regression analysis is done for each industry and the combined industries in the United States and China. We also find that Twitter and Wikipedia only predict a firm's performance in the United States, which is not surprising as they are officially blocked in China. Blogs predict better in China than they do in the United States, as it might still be a major social media tool for Chinese firms; while for the US firms, blogs have been supplemented by Twitter and Wikipedia.

Los nuevos principios de un negocio en enjambre

Abstract: Sin una direccion central, las abejas se autoorganizan para construir nidos, alimentar a las larvas o buscar alimento. Del mismo modo, los grupos de humanos que se agrupan para lograr un objetivo comun pueden constituir un poderoso modo de pensar colectivo que da rienda suelta a una tremenda creatividad y estimula innovaciones de gran valor.

Creating Collaborative Innovation Networks (COINs) to Reduce Infant Mortality

Abstract: This case study illustrates the growth process of a collaborative innovation network in healthcare. It tracks e-mail communication of COIN members through a method we call “virtual mirroring”, and measures the online perception of the topics of the COIN by coolhunting on social media such as Twitter and blogs. It also describes how the COIN members through “coolfarming” self-organize and identify new sub-topics for their work. In particular, the paper describes the growth process of the US Department of Health and Human Services Infant Mortality CoIIN (Collaborative Improvement and Innovation Network), applying both improvement and innovation concepts to reducing infant mortality among disadvantaged families in the US.

Using Multivariate Statistics

Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

Pattern Recognition and Machine Learning

Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Principles of Neural Science

Abstract: I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

The knowledge-creating company : how Japanese companies create the dynamics of innovation

Abstract: How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.