Abstract
We outline some recent mathematical and computational
ideas that deal with dynamic patterns of connectivity in
digital communication. Typical examples are email, voice
mail and on-line interactions. This new branch of network
science addresses issues such as: where is the best place and
time to start a rumour, which players have the ability to
exploit the dynamic structure most eectively and how will
the network evolution respond to external stimulus? In a
new experiment we apply dynamic centrality measures to
an email data set involving Enron employees. This reveals
how an individual's ability to communicate across the dy-
namic network correlates with their position in the company
hierarchy.
ideas that deal with dynamic patterns of connectivity in
digital communication. Typical examples are email, voice
mail and on-line interactions. This new branch of network
science addresses issues such as: where is the best place and
time to start a rumour, which players have the ability to
exploit the dynamic structure most eectively and how will
the network evolution respond to external stimulus? In a
new experiment we apply dynamic centrality measures to
an email data set involving Enron employees. This reveals
how an individual's ability to communicate across the dy-
namic network correlates with their position in the company
hierarchy.
| Original language | English |
|---|---|
| Number of pages | 2 |
| Publication status | Published - 15 Nov 2011 |
| Event | Digital Engagement - Newcastle, United Kingdom Duration: 15 Nov 2011 → 17 Nov 2011 |
Conference
| Conference | Digital Engagement |
|---|---|
| Country/Territory | United Kingdom |
| City | Newcastle |
| Period | 15/11/11 → 17/11/11 |
Keywords
- dynamic interactions
- understanding
- dynamic patterns
- connectivity
- digital communication
- on-line interactions
- voice