11.1 Getting started with network dynamics

11.1.1 Why temporality in networks matters?

Watch a video about the Schelling’s Segregation Model to understand the importance of understanding network dynamics.

To further explore the Schelling’s Segregation Model:

  1. Open http://nifty.stanford.edu/2014/mccown-schelling-model-segregation/
  2. Adjust Similarity threshold to 50% –> Record rounds
  3. Adjust Similarity threshold to 75% –> Record rounds

Schelling, T. C. (1971). Models of Segregation. The American Economic Review, 59(2), 488–493.

11.1.2 Conceptualize time in social networks

  • Timestamp of an event
  • Duration of an event
  • Frequency of of events
  • Time-order / contingency of events

11.1.3 Approaches of considering time

  • Accumulation of networks
  • “Sliding window” (Gloor et al. 2004)
    • with hisotory
    • no history
  • SNA measures adding ‘a temporal taste’
    • time series
    • truely

Gloor, P., Laubacher, R., Zhao, Y., & Dynes, S. (2004). Temporal visualization and analysis of social networks. In NAACSOS Conference, June (pp. 27–29). Citeseer.

11.1.3.1 Sliding window

11.1.3.2 SNA measures adding ‘a temporal taste’

(Mascolo, 2013)

11.1.4 Tools for temporal network analysis

11.1.4.1 Gephi

Gephi supports the analysis of dynamic networks. This website, Exploring Big Historical Data, provides a useful introduction. See also the Youtube video below.

11.1.4.2 R

R packages networkDynamic, tsna, and ndtv are very useful for temporal network analysis and visualization.

Here is a demo with R code (if you see random text, please save the file to your computer and open it again)