When Networks Network. NETWORK MILESTONES. BACK-AND-FORTH FAILURES. SLEEP SHIFTS. SAVING NODES. Raissa D'Souza homepage. Interview Raissa D'Souza. Raissa D'Souza on COMPLEXITY. Complex network. Dynamic network analysis. Dynamic network analysis (DNA) is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA) and multi-agent systems (MAS) within network science and network theory.
There are two aspects of this field. The first is the statistical analysis of DNA data. The second is the utilization of simulation to address issues of network dynamics. DNA networks vary from traditional social networks in that they are larger, dynamic, multi-mode, multi-plex networks, and may contain varying levels of uncertainty. The main difference of DNA to SNA is that DNA takes interactions of social features conditioning structure and behavior of networks into account. DNA is tied to temporal analysis but temporal analysis is not necessarily tied to DNA, as changes in networks sometimes result from external factors which are independent of social features found in networks. An example of a multi-entity, multi-network, dynamic network diagram Further reading[edit]
Networks Understanding Networks. Netonets2012.