Mobile phone data
<p><strong>Phone communication data</strong></p> <p>Phone communication data from multiple phone extractions. The file NodeList.csv contains the nodes of the multivariate graph and contains the following columns: </p> <p>_nodeID : unique identifier for each entity of the graph<br> _nodeType : specification of node type (phone, person, contact or identifier)<br> _viewIcon: tulip-specific attribute which defines the icon used for each node<br> _viewShape: tulip-specific attribute which defines the shape for each node</p> <p>The file EdgeList.csv contains all edges between the above specified nodes and contains the following columns:<br> _sourceID : unique identifier of source node<br> _targetID : unique identifier of target node<br> _relType : specification of the type of relation (communication, contact association, user account association)<br> _nbCommunications : number of communications exchanged between two given nodes. Attribute present only for edges of type ‘communication’.</p> <p>Nodes and relations can be imported into Tulip using the ‘import csv’ option. In order to create metanodes, only edges describing associations (contacts, user accounts) are used in a first step in order to use the algorithm ‘connected componants’. After importing the communication edges, metanodes can then be created based on the metric value calculated beforehand.</p> <p> </p> <p> </p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.