Low-Distortion Inference of Latent Similarities from a Multiplex Social Network
نویسندگان
چکیده
منابع مشابه
Low-distortion Inference of Latent Similarities from a Multiplex Social Network
What can a social network tell us about the underlying latent “social structure,” the way in which individuals are similar or dissimilar? Much of social network analysis is, implicitly or explicitly, predicated on the assumption that individuals tend to be more similar to their friends than to strangers. Having explicit access to similarity information instead of merely the noisy signal provide...
متن کاملOn the Convexity of Latent Social Network Inference
In many real-world scenarios, it is nearly impossible to collect explicit social network data. In such cases, whole networks must be inferred from underlying observations. Here, we formulate the problem of inferring latent social networks based on network diffusion or disease propagation data. We consider contagions propagating over the edges of an unobserved social network, where we only obser...
متن کاملf/sla from learner perspectives: a social activity or a cognitive process
in the past couple of decades sociocultural theory of sla and its implications in efl contexts have attracted attentions of research circles worldwide and aroused some controversies. firth and wagner (1997) have questioned the principles of the cognitive view which gives importance to mental constructs in favor of sociocultural view which highlights social and contextual constructs. but if soci...
15 صفحه اولLatent variable time-varying network inference
In many applications of finance, biology and sociology, complex systems involve entities interacting with each other. These processes have the peculiarity of evolving over time and of comprising latent factors, which influence the system without being explicitly measured. In this work we present latent variable time-varying graphical lasso (LTGL), a method for multivariate time-series graphical...
متن کاملInference of Low-Dimensional Latent Structure in High-Dimensional Data
EE) Inference of Low-Dimensional Latent Structure in High-Dimensional Data
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SIAM Journal on Computing
سال: 2015
ISSN: 0097-5397,1095-7111
DOI: 10.1137/130949191