Machine Learning/Kaggle Social Network Contest/Features: Difference between revisions
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** Adamic-Adar score | ** Adamic-Adar score | ||
*** see [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.108.1370&rep=rep1&type=pdf original paper] | *** see [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.108.1370&rep=rep1&type=pdf original paper] | ||
*** R igraph: [http://cneurocvs.rmki.kfki.hu/igraph/doc/R/similarity.html similarity.invlogweighted] | |||
The response variable is the probability that the nodeid to nodetofollowid edge will be created in the future | The response variable is the probability that the nodeid to nodetofollowid edge will be created in the future | ||
Revision as of 19:32, 22 November 2010
TODO
- Precisely define the listed features
Possible Features
- Node Features
- nodeid
- outdegree
- indegree
- local clustering coefficient
- reciprocation of inbound probability (num of edges returned / num of inbound edges)
- reciprocation of outbound probability (num of edges returned / num of outbound edges)
- Edge Features
- nodetofollowid
- shortest distance nodeid to nodetofollowid
- density? (
median path length) - does reverse edge exist? (aka is nodetofollowid following nodeid?)
- number of common friends
- indegrees & outdegrees of nodetofollowid
- Network features
- unweighted random walk score
- global clustering coefficient
- Adamic-Adar score
- see original paper
- R igraph: similarity.invlogweighted
The response variable is the probability that the nodeid to nodetofollowid edge will be created in the future