sna-prediction 0.1

A python package to predict outcome of an event based on type of data it is fed to.For now it is Loksabha 2019 Elections

social-network-analysis

Master update v4.0 done at 14-05-2019 @ 12:24am

Social Network Analysis Loksabha '19 Election Prediction

Social Networking Analysis is a technique to analyse a given dataset to extract useful information and understanding the trend. We are currently working on analyzing tweets based party name input,analyse and plot graph for better statistical understanding and prediction purposes. Group project of RCCIIT (Session 2015-19),Department of CSE under mentorship of Mrs.Monika Singh.

This repository will hold and be updated all the undergoing changes so far the project has experienced till now and till then.

Steps to Install

Install : pip install sna_prediction

Run : sna_prediction

What's done as of now

• GUI removed for optimization purpose
• New K-Map slider allows user to dynamically set Degree of network graph
• Removed day-wise,month-wise graph
• Added positive tweet per party graph
• Added funtionality to calculate degree centrality for better prediction

Known Issues:

• K-Map slider selected less than 3 takes longer time to render the graph due to large dataset

Active Contribution

Devpratim

Rana

Souvik

Soumjit

Snapshots:

Program Output

+ve and -ve tweets per party