The real value of network visualizations derives from an ability to track how focus and attention have evolved over time. The next to-do is building dynamic network graphs via gephi.
Tag Archives: network analysis
Network Visualization for Bookmarks from Last 3 Years
SP500 Correlation Matrix
The Evolution of Power
Forms of power have evolved in correlation with technological advancement. The means by which “authorities” establish legitimacy have democratized the means by which tastes / trends / ideas evolve. The present age rewards net production, rather than net consumption, in the conquest of societal mind share.
Digital Networks
3-D surface graphing nine wavelet spectrums at various time series
The optimal means by which to sort and display data plays an important role in recollecting useful information and increasing enthusiasm for a specified task. Herein contributes to the success of Apple: an appealing (and standardized) graphical UI has led to the development of a large following across all age groups.
Often times, we find the best answer for a given problem and are separated from that answer on a temporal basis. When we seek to recall useful information at a later date, we waste time “re-building” the sum of the parts (re-reading relevant articles, looking up relevant terms, articulating an argument, etc). This is the reason for which I keep a web log: to create a “snapshot” of what answer I’ve identified for a given period in time such that if I seek to reference where I was given a question at a specific point in time, I can easily recall where I left off.
I believe that in discovering “truth”, it is necessary to eliminate uncertainty. The truth is often (and hopefully) elusive. A framework for thinking – or understanding the world – through the use of models.
This being said, I have several reasons and needs for organizing / indexing relevant data:
- To develop systems / structures to identify from where I consume data
- To identify how I construct my arguments
- To remember the why (related to why I’m asking specific questions)
At this point, I classify the control modules i use to operate (each point below associated with its corresponding bullet above):
- Dashboard: information funneling / sorting
- Blueprints: identifying primary ideas and subclasses of ideas
- Synthesis: how did I arrive at a philosophy – what worked and what didn’t? Why do these questions matter?
Dashboard
Information Funneling
Basis: Digital and Physical Networks
- Data from Centralized Networks
- Data from Decentralized Networks
- Data from Distributed Networks
Diagram: Digital Networks
Future Plans:
I use lists to quickly access these “bookmarks.” However, I do see the benefit of a graphical UI. For mobile access, I believe lists are sufficient. For desktop, however, I will look to program the above interface utilizing node networks in d3.js.
To observe the evolution of lists over time, I will utilize a “z-axis,” in the form of a slider at the bottom of the page which will enable me to “look back’ through time at the evolution of the database.
Lastly (and more ambitiously), my application will enable me to track the frequency by which I click on each node (or link). This will enable me to identify the nodes within networks which I have strongest links to.