Mobility in an online world: Difference between revisions
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{{CSSS 2010 Santa Fe}} | {{CSSS 2010 Santa Fe}} | ||
== | ==Team== | ||
[[Michael Szell]], [[Giovanni Petri]], [[Kang Zhao]], [[Drew Levin]] | |||
==Intro== | ==Intro== | ||
[[Image:Pardus_universe.png|thumb|right|352px|Universe]] | [[Image:Pardus_universe.png|thumb|right|352px|Universe]] | ||
The topology of this online world can be expressed as a network, where sectors are nodes (placed on a cartesian grid) and wormholes are links between nearby sectors. A second type of link, the X-hole, links distant sectors, thus giving the universe a small-world property. Players live and move in this environment. For a fixed time for each day and each of the 10^4-10^5 players, we know their locations. (All data is fully anonymized!) | The topology of this online world can be expressed as a network, where sectors are nodes (placed on a cartesian grid) and wormholes are links between nearby sectors. A second type of link, the X-hole, links distant sectors, thus giving the universe a small-world property. Players live and move in this environment. For a fixed time for each day and each of the 10^4-10^5 players, we know their locations. (All data is fully anonymized!) | ||
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* Extract data of universe | * Extract data of universe | ||
* Bring topology data in network format (adjacency list / sparse matrix) | * Bring topology data in network format (adjacency list / sparse matrix) | ||
* Visualize network, e.g. in PAJEK | * Visualize network, e.g. in PAJEK, G-PHI | ||
* Extract mobility data of players | * Extract mobility data of players | ||
* Bring them in reasonable format (time-series). E.g. Time-series of daily hops. | * Bring them in reasonable format (time-series). E.g. Time-series of daily hops. | ||
* Analyze data | * Analyze data | ||
* Visualize time-evolving data (over the whole time-span: 1. display locations of 5 typical player, 2. display locations of 100 players in war) | |||
* Formulate research questions | * Formulate research questions | ||
* Find literature on mobility, etc. | * Find literature on mobility, etc. | ||
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* Number of unique places visited (over a time-span) | * Number of unique places visited (over a time-span) | ||
* Time-series of changed friends/enemies -> Social entropy | * Time-series of changed friends/enemies -> Social entropy | ||
==Research Questions== | ==Research Questions== | ||
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* Do locations and friends/enemies correlate? If so, is there causality? | * Do locations and friends/enemies correlate? If so, is there causality? | ||
* ... | * ... | ||
==Meetings== | ==Meetings== | ||
* June 10, 5 P.M., lecture room | * June 10, 5 P.M., lecture room | ||
Revision as of 14:19, 11 June 2010
| CSSS Santa Fe 2010 |
Team
Michael Szell, Giovanni Petri, Kang Zhao, Drew Levin
Intro
The topology of this online world can be expressed as a network, where sectors are nodes (placed on a cartesian grid) and wormholes are links between nearby sectors. A second type of link, the X-hole, links distant sectors, thus giving the universe a small-world property. Players live and move in this environment. For a fixed time for each day and each of the 10^4-10^5 players, we know their locations. (All data is fully anonymized!)
Tasks
- Extract data of universe
- Bring topology data in network format (adjacency list / sparse matrix)
- Visualize network, e.g. in PAJEK, G-PHI
- Extract mobility data of players
- Bring them in reasonable format (time-series). E.g. Time-series of daily hops.
- Analyze data
- Visualize time-evolving data (over the whole time-span: 1. display locations of 5 typical player, 2. display locations of 100 players in war)
- Formulate research questions
- Find literature on mobility, etc.
- Write paper (tex)
Data -> Calculations/Measures
- Time-series of distances travelled (over a time-span) -> Spatial entropy, COV matrix
- Number of unique places visited (over a time-span)
- Time-series of changed friends/enemies -> Social entropy
Research Questions
- How is spatial/social entropy distributed? Do we see modes? If so, why?
- Does mobility change in times of war?
- Do locations and friends/enemies correlate? If so, is there causality?
- ...
Meetings
- June 10, 5 P.M., lecture room