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Ένα (και όχι μόνο) Scoop για το μάθημα του 2εξ Κοινωνία της Γνώσης και της Πληροφορίας ΣΧΜ ΕΜΠ
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Who helps your ideas spread on Facebook? This free tool by Wolfram|Alpha can help you understand your social network better

Who helps your ideas spread on Facebook? This free tool by Wolfram|Alpha can help you understand your social network better | Wiki_Universe | Scoop.it

The answer to facebook... How to visually understand who is really connected to who online and who has the most potetential for helping your ideas spread


Via Ken Morrison
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Ken Morrison's curator insight, July 9, 2013 9:31 PM

If you want to be able to help give your ideas wings and help your ideas spread, you need to be able to study the infrastructure of your social and professional networks.  This tool by WolframAlpha can help you visualize your network.  Mine looks a little like an eye (fitting) and a little like the Death Star (scary).

WARNING: This is easy to use but you will probably kill 30 minutes or more exploring.  It is well worth your time. It has changed the way (and time of the day) that I use Facebook based on what I have learned. 

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Analysis and Comparison of Interaction Patterns in Online Social Network and Social Media

Analysis and Comparison of Interaction Patterns in Online Social Network and Social Media | Wiki_Universe | Scoop.it

In this work, we aim to analyze and compare interaction patterns in different types of social platforms. To this end, we measured Renren, the largest online social network in China, and Sina Weibo, the most popular microblog service in China. We model the interaction networks as unidirectional weighted graphs in light of the asymmetry of user interactions. Following this model, we first study the basic interaction patterns. Then, we examine whether weak ties hypothesis holds in these interaction graphs and analyze the impacts on information diffusion. Furthermore, we model the temporal patterns of user interactions and cluster users based on the temporal patterns. Our findings demonstrate that although users in the two platforms share some common interaction patterns, users in Sina Weibo are more popular and diverse. Moreover, analysis and simulation results show that Sina Weibo is a more efficient platform for information diffusion. These findings provide an in-depth understanding of interaction patterns in different social platforms and can be used for the design of efficient information diffusion.

 

Source: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6289250&tag=1

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Free Social Network Analysis Textbook

"David Easley and Jon Kleinberg, both of Cornell University, have placed the contents of their social networking textbook online. All 24 chapters of Networks, Crowds, and Markets: Reasoning About A Highly Connected World are available for download.  This could serve as a wonderful learning resource or an excellent reference tool.  The material covered is quite extensive, and it provides many real applications of social network analysis.  Not all the examples are online social networks."

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Social Network Analysis with Lada Adamic

The course "Social Network Analysis", by Associate Professor Lada Adamic from the University of Michigan, will be offered free of charge to everyone on the Coursera platform. Sign up at http://www.coursera.org/course/sna

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