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*The results are based on analysis of social data with background knowledge from DBPedia and uses Semantic Web technologies.

[CLICK ON A PUSHPIN TO SEE POPULAR TOPICS FROM A LOCATION, ON CHOSEN DATE.]
This location analysis is based only on tweets which have location metadata (~10% of total volume). Be sure to select both time and region of interest to see spatio-temporal-thematic social signals.

The tag cloud starts by summarizing latest tweets for the event and evolves as new tweets arrive. Only those tweets with location information are shown on the map.

Note: This map and tag cloud are updated to the second based on the India Against Corruption activity on Twitter.

Click a section of the chart to view some sentimental tweets.

The following list shows top 100 influential Twitter users while talking about a topic, which can be multi-faceted - thematic,person,organization etc. The following network shows the connectivity among these influential Twitter users about a topic chosen on left menu. Colors denote the user level characteristics such as sentiment polarity for the topic, political affiliation, profession etc. Here, we specifically decided to show the characteristics and connectivity of top users, because they have potential to drive the community for desired actions. (Please check our Insights tab for such examples)

(Click on a user in the list or node in the network to see user profile)

Emerging Community Leaders

User Interaction Network of emerging leaders

BJP

Congress

Prime_Minister

Team_Anna

Legend
  • Journalism
  • Politics
  • Academics
  • Art
  • Blogging
  • Business
  • Tech
  • Medical
  • Sports
  • Others

What is Twitris+?

A Semantic Social Web application with real-time monitoring and multi-faceted analysis of social signals to provide insights and a framework for situational awareness, in-depth event analysis and coordination, emergency response aid, reputation management etc.

Why Twitris+?

Users are sharing voluminous social data (800M+ active Facebook users, 1B+ tweets/week) through social networking platforms accessible by Web and increasingly via mobile devices. This gives unprecedented opportunity to decision makers-- from corporate analysts to coordinators during emergencies, to answer questions or take actions related to a broad variety of activities and situations: who should they really engage with, how to prioritize posts for actions in the voluminous data stream, what are the needs and who are the resource providers in emergency event, how is corporate brand performing, and does the customer support adequately serve the needs while managing corporate reputation etc. We demonstrate these capabilities using Twitris+.

Key Features

  1. Decision making analytics platform for multi-faceted analyses of social data: spatio-temporal-thematic, people-content-network, sentiment-emotion-subjectivity etc.
  2. Answering questions of interests to corporate analysts and event coordinators
  3. Extraction of insights from social signals: Aggregation and filtering of social data, web resources (news, Wikipedia pages, multimedia), SMS data, followed by applying background knowledge to perform multi-faced analyses.
  4. Applications beyond state-of-the-art research in social-computing, such as in Health 2.0, cyber-physical systems etc.

Research Details

Team:

Alan Smith, Ashutosh Jadhav, Hemant Purohit, Lu Chen, Michael Cooney, Pavan Kapanipathi, Pramod Anatharam, Wenbo Wang (Past Members: Karthik Gomadam, Meena Nagarajan)

Supervision:

Prof. Amit Sheth

Demo Video

Articles and Resources

Digital Flicks (February 10, 2012)

Twitris-Semantic Social Web Application

Wright State University News Room (November 14, 2011)

Wright State research seeks sense from social media to aid in emergencies

Twitris Logos and Images for Media Use

Images

Videos

Overview