#سمینارهای_هفتگی گروه سیستم‌های پیچیده و علم شبکه دانشگاه شهید بهشتی

🔹شنبه، ۳۰ بهمن‌ماه، ساعت ۴/۵ - کلاس ۴ دانشکده فیزیک دانشگاه شهید بهشتی

@carimi

⚡️ Evolution of Communities in the Medical Sciences: Evidence from the Medical Words Network

Amir Hossein Shirazi
PHD Student, Department of Physics, Shahid Beheshti University

Classification of medical sciences into its sub-branches is crucial for optimum administration of healthcare and specialty training. Due to the rapid and continuous evolution of medical sciences, development of unbiased tools for monitoring the evolution of medical disciplines is required.
Network analysis was used to explore how the medical sciences have evolved between 1980 and 2015 based on the shared words contained in more than 9 million PubMed abstracts. The k-clique percolation method was used to extract local research communities within the network. Analysis of the shared vocabulary in research papers reflects the trends of collaboration and splintering among different disciplines in medicine. Our model identifies distinct communities within each discipline that preferentially collaborate with other communities within other domains of specialty, and overturns some common perceptions.
Our analysis provides a tool to assess growth, merging, splitting and contraction of research communities and can thereby serve as a guide to inform policymakers about funding and training in healthcare.

🔹Feel free to contact us: @carimi

با سلام
🚩 به آگاهی می‌رساند نشست یکصدوچهل‌وپنجم باشگاه فیزیک تهران، ساعت ۱۷ روز دوشنبه 2 اسفند‌ماه 1395، در سالن آمفی‌تئاتر دانشکده فیزیک دانشگاه تهران (انتهای خیابان کارگرشمالی، روبه‌روی کوچه نوزدهم) برگزار خواهد شد.
در باشگاه فیزیک این ماه، آقای دکتر غلامرضا #جعفری از دانشکده فیزیک دانشگاه شهید بهشتی، درباره «#داده‌های_بزرگ و #ظهور #رفتار_جمعی» خواهند گفت. ساعت 18:20 آقای علی فرنودی پرسش ماه را مطرح و سپس اخبار فیزیک در ماه گذشته را به آگاهی حاضران خواهند رساند.
یادآوری می‌شود که مخاطبان باشگاه، علاقه‌مندان به فیزیک هستند و از شما درخواست می‌شود با فرستادن این نامه به دوستان خود یا چاپ و نصب پوستر باشگاه در محل کار خود، دیگر علاقه‌مندان فیزیک را آگاه کنید.

با احترام
انجمن فیزیک ایران

📽 http://www.aparat.com/v/7Cz1A

💲 Fully funded PhD studentship in data science at Warwick business school

http://www.jobs.ac.uk/job/AWI911/phd-studentship-in-data-sciencemeasuring-and-predicting-human-behaviour-with-online-data/

🔸 http://www.nature.com/articles/s41562-016-0015

🗞 Why We Read Wikipedia

Philipp Singer, Florian Lemmerich, Robert West, Leila Zia, Ellery Wulczyn, Markus Strohmaier, Jure Leskovec

🔗 https://arxiv.org/pdf/1702.05379

📌 ABSTRACT
Wikipedia is one of the most popular sites on the Web, with millions of users relying on it to satisfy a broad range of information needs every day. Although it is crucial to understand what exactly these needs are in order to be able to meet them, little is currently known about why users visit Wikipedia. The goal of this paper is to fill this gap by combining a survey of Wikipedia readers with a log-based analysis of user activity. Based on an initial series of user surveys, we build a taxonomy of Wikipedia use cases along several dimensions, capturing users' motivations to visit Wikipedia, the depth of knowledge they are seeking, and their knowledge of the topic of interest prior to visiting Wikipedia. Then, we quantify the prevalence of these use cases via a large-scale user survey conducted on live Wikipedia with almost 30,000 responses. Our analyses highlight the variety of factors driving users to Wikipedia, such as current events, media coverage of a topic, personal curiosity, work or school assignments, or boredom. Finally, we match survey responses to the respondents' digital traces in Wikipedia's server logs, enabling the discovery of behavioral patterns associated with specific use cases. For instance, we observe long and fast-paced page sequences across topics for users who are bored or exploring randomly, whereas those using Wikipedia for work or school spend more time on individual articles focused on topics such as science. Our findings advance our understanding of reader motivations and behavior on Wikipedia and can have implications for developers aiming to improve Wikipedia's user experience, editors striving to cater to their readers' needs, third-party services (such as search engines) providing access to Wikipedia content, and researchers aiming to build tools such as recommendation engines.

🔹 http://www.nature.com/articles/s41559-017-0070

🔹 https://m.imgur.com/a/8M7q8#J7LANQ

http://www.biophysics.org/2017berlin/Home/tabid/7036/Default.aspx
Conformational Ensembles from Experimental Data and Computer Simulations
Berlin, Germany | Augst 25-29, 2017

⭕️ Dear All 

We have organized a talk by Daniel Bonn on "#Friction", Thursday, tomorrow, 23rd Feb 2017. Room 412, Physics Department, Sharif University of Technology. 

Due to short notice by Daniel this was done on a Thursday. 

Everyone is welcomed, and please advertise to those interested. 

Regards
Shahin Rouhani         
Sharif University of Technology and IPM 

​
🔹 14.00- 15.00 room 412 Thursday ​                                        

     Tel  : +98 21-66 16 45 06 
     Tel  : +98 21-66 00 54 10 
     Fax : +98 21-66 02 27 11

🎞 https://www.instagram.com/p/BQ0iSvNA6j5/

🎞 https://simons.berkeley.edu/talks/john-baez-12-06-2016

The first ever Network #Neuroscience Satellite! Apply soon:
🔗 http://www.complexity.es/netsci2017brain

🔹 The Amazing, Autotuning Sandpile

A simple mathematical model of a sandpile shows remarkably complex behavior.

BY JORDAN ELLENBERG
🔗 http://nautil.us/issue/23/Dominoes/the-amazing-autotuning-sandpile

💲 http://pnas.org/content/113/36/10031.abstract

DebtRank as a fine example of the importance of networks & complexity in finance!

🖥 A visualization of the Hopf fibration
http://nilesjohnson.net/hopf.html?platform=hootsuite

Hopf fibration -- fibers and base