TwitterVizDemo

h1. Wiki

h2. Description

Micro-blogging platforms and social networks have gained a lot of attention both by the media as well as by researchers. The spatio temporal information provided explicitly or implicitly by the users of such platforms, as well as additional information that can be mined from the social network's structure, render these types of platforms a rich source of information that can be used to make more timely and effective decisions based on the users' behavior. A lot of work has been done towards the creation of frameworks for Twitter analytics, but these solutions usually focus on specific tasks. The lack of complete and integrated solutions as recognized by current research leads us to the proposal of TwitterViz a complete solution for the visualization and analysis of spatio-temporal twitter data in combination with the analysis of the twitter graph, by leveraging the use of a popular graph database and using state of the art visualization tools that aim in providing insights to the non-expert.

h2. Video Demonstration

A video demonstration is available to showcase the various functionalities of TwitterViz.

"TwitterViz Video Demonstration":https://www.dropbox.com/s/0vsrsod25m26ikm/demo.mp4?dl=0

h2. TwitterViz

Access the current version of TwitterViz here:

"TwitterViz v0.1":http://

h2. TwitterViz User Interface Main Functionalities

*Spatio-Temporal Analysis*

# Range queries on the map to visualize tweets from specic areas.

# Visualization of sentiment on tweets on the map in specic geographic areas using a defined visual syntax.

The user can investigate how the sentiments change in specic areas as well as how they change in time, by also applying other restrictions based on the social network's structure.

# Visualization of a user's followers' tweets on the map, combining information from the graph.

# Visualization and study of the temporal evolution of tweets in user-defined time windows.

# Analysis of the spatio-temporal distribution of tweets.

# Presentation of a variety of real-time statistics on the streaming data.

h2. Screenshots

!https://web.imis.athena-innovation.gr/redmine/attachments/download/2156/architecture4layers.pdf!

h2. The TwitterViz System

h2. Publications