# Machine Learning/Kaggle Social Network Contest/Features

From Noisebridge

## TODO

- Precisely define the listed features

## Possible Features

- nodeid
- nodetofollowid
- median path length
- shortest distance from nodeid to nodetofollowid
- inbound edges
- outbound edges
- clustering coefficient
- reciprocation probability (num of edges returned / num of outbound edges)

The response variable is the probability that the nodeid to nodetofollowid edge will be created in the future

From the Backstrom and Leskovec, for a node s and a potential target c

- Network features
- unweighted random walk score
- Adamic-Adar score
- see original paper

- number of common friends
- indegrees and outdegrees of s
- the indegree is the number of edges coming into node s
- the outdegree is the number of edges leaving node s

- indegrees and outdegrees of c