Author Correction: Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks.

Billions of users interact intensively every day via Online Social Networks (OSNs) such as Facebook, Twitter, or Google+. This makes OSNs an invaluable source of information, and channel of actuation, for sectors like advertising, marketing, or politics. To get the most of OSNs, analysts need to identify influential users that can be leveraged for promoting products, distributing messages, or improving the image of companies.

[Crohn's disease: clinical case and review of the literature].

We present a 15 year male patient with more than 2 years of clinical symptoms. Patient has abdominal pain with episodes of partial intestinal occlusion, recurrent diarrhea, weight loss and fever. Lab findings were PCR: 92, 17: albumine: 3,2 gr/dl, microcitic hipocromic anemia (10 gr%).