Who influences whom in social network - an application for finding key nodes
Project description
Influ
Finding influencers in social network
An application created as part of the project
Kto na kogo wpływa w sieci społecznej - aplikacja do wyszukiwania kluczowych węzłów
Who influences whom in social network - an application for finding key nodes
Author: Grzegorz Chilczuk
Supervisor: dr inż. Radosław Michalski
Installation
It should be as simple as
pip install influ
Dependencies
All dependencies will be installed automatically. However one of most important dependencies is cool python library called igraph which core is written in C. Sometimes it may cause some problem, igraph documentation should help.
Debian / Ubuntu and derivatives
If you encounter
Could not download and compile the C core of igraph
then installing those dependencies should help:
sudo apt install build-essential python-dev libxml2 libxml2-dev zlib1g-dev
Konect Reader
In order to test your concepts quickly there is a KonectReader
which simplifies downloading and extracting datasets and loading them into Graph object.
from influ import KonectReader
kr = KonectReader()
kr.list # list available datasets
graph = kr.load('manufacturing_emails') # load dataset
Currently there is only few datasets available but you can provide your own config file with other datasets specified. Currently only datasets from Konect are supported.
Your own config file
# Content of my_custom_config.yaml
example_dataset: # name that will be used to access dataset
name: Example Dataset 1
url: http://konect.uni-koblenz.de/networks/dataset_examle # url where dataset is described [optional]
download: http://konect.uni-koblenz.de/downloads/tsv/dataset_examle.tar.bz2 # url where dataset can be downloaded directly
file: out.dataset_example_example # name of file with
directed: False # does graph should be considered as directed?
edge_attributes: # list of names attributes
- distance # if this list will be empty or there will be more attributes
- another_attr # it will be named `attrX` where X is index counted from 0
vertex_attributes: # list of vertex attributes with files where they are stored
- name: alias # name of attribute
file: ent.vertex_alias_name # file with attribute
Loading your custom config extends (does not override) those previously loaded.
kr = KonectReader('./my_custom_config.yaml') # loading at creation time
kr.add_config('./my_custom_config.yaml') # adding config after creation
Working example
from influ import KonectReader, SeedFinder
kr = KonectReader()
graph = kr.load('train_bombing')
finder = SeedFinder(graph)
result = finder.CELFpp()
——————
Change log
[0.1.0] - 2018-12-01
Added
- Loading graph from file
- Finding key nodes in graph (SeedFinder)
- Loading example datasets from http://konect.uni-koblenz.de
Project details
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