Publications
Explore 202 academic publications
Exploratory Social Network Analysis with Pajek
An extensively revised and expanded third edition of the successful textbook on analysis and visualization of social networks integrating theory, applications, and professional ...
Information revelation and privacy in online social networks
Participation in social networking sites has dramatically increased in recent years. Services such as Friendster, Tribe, or the Facebook allow millions of individuals to create ...
Applied Latent Class Analysis
Applied Latent Class Analysis introduces several innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of ...
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: baryon acoustic oscillations in the Data Releases 10 and 11 Galaxy samples
We present a one per cent measurement of the cosmic distance scale from the detections of the baryon acoustic oscillations (BAO) in the clustering of galaxies from the Baryon Os...
Qualitative Analysis: Practice and Innovation
Offering a detailed introduction to the practice of data analysis, this book is both user-friendly and theoretically grounded. Drawing on his extensive experience of qualitative...
Conjugate coding
article Conjugate coding Share on Author: Stephen Wiesner Columbia University, New York, N.Y. Columbia University, New York, N.Y.View Profile Authors Info & Claims ACM SIGACT Ne...
A stagewise rejective multiple test procedure based on a modified Bonferroni test
Journal Article A stagewise rejective multiple test procedure based on a modified Bonferroni test Get access G. HOMMEL G. HOMMEL Institut für Medizinische Statistik und Dokument...
How Big Is the Random Walk in GNP?
This paper presents a measure of the persistence of fluctuations in gross national product (GNP) based on the variance of its long differences. That measure finds little long-te...
Can You See the Real Me? Activation and Expression of the “True Self” on the Internet
Those who feel better able to express their “true selves” in Internet rather than face‐to‐face interaction settings are more likely to form close relationships with people met o...
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Stochastic Gradient Descent (SGD) is a popular algorithm that can achieve state-of-the-art performance on a variety of machine learning tasks. Several researchers have recently ...