Markov process models for time-varying networks
46 mins 53 secs,
682.86 MB,
MPEG-4 Video
640x360,
29.97 fps,
44100 Hz,
1.94 Mbits/sec
Share this media item:
Embed this media item:
Embed this media item:
About this item
Description: |
Crane, H (Rutgers, The State University of New Jersey)
Tuesday 13th December 2016 - 16:45 to 17:30 |
---|
Created: | 2016-12-20 12:31 |
---|---|
Collection: | Theoretical Foundations for Statistical Network Analysis |
Publisher: | Isaac Newton Institute |
Copyright: | Crane, H |
Language: | eng (English) |
Abstract: | Many models for dynamic networks, such as the preferential attachment model, describe evolution by sequential addition of vertices and/or edges. Such models are not suited to networks whose connectivity varies over time, as in social relationships and other kinds of temporally varying interactions. For modeling in this latter setting, I develop the general theory of exchangeable Markov processes for time-varying networks and discuss relevant consequences. |
---|
Available Formats
Format | Quality | Bitrate | Size | |||
---|---|---|---|---|---|---|
MPEG-4 Video * | 640x360 | 1.94 Mbits/sec | 682.86 MB | View | Download | |
WebM | 640x360 | 670.79 kbits/sec | 230.42 MB | View | Download | |
iPod Video | 480x270 | 522.32 kbits/sec | 179.36 MB | View | Download | |
MP3 | 44100 Hz | 249.76 kbits/sec | 85.86 MB | Listen | Download | |
Auto | (Allows browser to choose a format it supports) |