Plans¶
Modes¶
Currently, there’s two modes to display the graph: Python’s WxWidgets interface and a web interface.
There exists a potential to get more information out of the dataset by expanding available modes.
Adjacency graph¶
A mode for an adjacency graph will require a bit more work, for example, exporting only a top N tags and limit tag lengths so everything can be displayed.
Experiments¶
Edge weighting¶
Edge weights in pair_mgr are currently divided by an edge_count
parameter.
I am not sure it is an ideal option that allows to see the maximum amount of details.
Weighting by relation¶
Will add edges between tags like
Abstract style
andAbstract
add more context?How to weight those edges properly?
Argparse¶
Save contents for
tag_manager
andpair_manager
Footnotes
- 1
Understanding Community Detection Algorithms with Python NetworkX
- 2
- 3
Node2vec: Scalable Feature Learning for Networks; How node2vec works — and what it can do that word2vec can’t
- 4
Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation by Han Tian and Hankz Hankui Zhuo