This article lists the steps I take to create a network animation in R, provides some example source code that you can copy and modify for your own work, and starts a discussion about programming and visualization as an interpretive approach in research.
This is the proof that knowledge about the networks analysis is going mainstream. Just on Coursera alone there are 5 courses starting in September’12 that will cover different aspects of networks. And...
Suppose you need to find the influencers for your brand in a community, how would you go about doing this? What kind of data do you need, and where do you start?
Good question, today I am going to show you, step by step, how to find influencers in an online community. I will use Lithium’s own online community, Lithosphere, in the following example, but you can do the same with any social media platform.
Disease spreading through human travel networks has been a topic of great interest in recent years, as witnessed during outbreaks of influenza A (H1N1) or SARS pandemics. One way to stop spreading over the airline network are travel restrictions for major airports or network hubs based on the total number of passengers of an airport. Here, we test alternative strategies using edge removal, cancelling targeted flight connections rather than restricting traffic for network hubs, for controlling spreading over the airline network. We employ a SEIR metapopulation model that takes into account the population of cities, simulates infection within cities and across the network of the top 500 airports, and tests different flight cancellation methods for limiting the course of infection. The time required to spread an infection globally, as simulated by a stochastic global spreading model was used to rank the candidate control strategies.
The model includes both local spreading dynamics at the level of populations and long-range connectivity obtained from real global airline travel data. Simulated spreading in this network showed that spreading infected 37% less individuals after cancelling a quarter of flight connections between cities, as selected by betweenness centrality. The alternative strategy of closing down whole airports causing the same number of cancelled connections only reduced infections by 18%. In conclusion, selecting highly ranked single connections between cities for cancellation was more effective, resulting in fewer individuals infected with influenza, compared to shutting down whole airports. It is also a more efficient strategy, affecting fewer passengers while producing the same reduction in infections.
1. recognize that you are embedded in multiple networks: work, family, friends, hobby, sports, religion, neighborhood, etc.
2. “Connect on your similarities and benefit from your differences.” Think of the introductions you can make to benefit those around you, including yourself.
3. Practice simple network weaving. You do this around triangles — social triangles. A knows B and C knows B. B realizes that A and C could benefit from knowing each other and makes the introduction. This is called “closing the triangle” — all three people, A, B, and C now know each other. Look for opportunities to close triangles around yourself.
“ Unless you’re self-employed, we’re all cogs in a larger machine. The problem can be, how do you track that machine’s anatomy? How do you know what a “restructuring” really looks like, beyond that your middle manager has a new face?"
Justin Matejka wondered the same thing after his relatively small employer Alias was acquired by Autodesk, so he created this remarkable animated visualization called the OrgOrgChart (Organic Organization Chart), which tracks every employee, manager, and departmental shift in the company from May 2007 to April 2011. Each second represents a week of activity for a growing staff, which expands from 6,500 to 7,500 people over this time.
Social-network analysis of the characters in mythological texts reveal how realistic the myths are, by looking at how closely they ressemble the patterns of real social-networks. Realistic myths can reveal clues about their respective ancient civilization.
While football (soccer) is alternately known as a sport, a national pastime, or a national obsession, the New England Complex Systems Institute (NECSI) is the first to place soccer in the category of a complex social system. A new study from NECSI uses quantitative analysis to reveal the key team dynamics within a Premier League match.
L. Vilar, D. Araújo, K. Davids, Y. Bar-Yam, Science of Winning Soccer: Emergent pattern-forming dynamics in association football. Journal of Systems Science and Complexity (in press).