Encyclopedia of Social Network Analysis and Mining

Living Edition
| Editors: Reda Alhajj, Jon Rokne

Twitris: A System for Collective Social Intelligence

  • Amit Sheth
  • Hemant Purohit
  • Gary Alan Smith
  • Jeremy Brunn
  • Ashutosh Jadhav
  • Pavan Kapanipathi
  • Chen Lu
  • Wenbo Wang
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7163-9_345-1

Synonyms

Citizen sensing; Community evolution; Event analysis on social media; Interaction network; People-content-network analysis; Real-time social media analysis; Semantic perception; Semantic Social Web; Sentiment-emotion-intent analysis; Social media analysis; Spatio-temporal-thematic analysis; Web 3.0

Glossary

Citizen Sensing

Humans or citizens on the ubiquitous Web, acting as sensors and sharing their observations and views using mobile devices, mobile apps, and Web 2.0 services

Citizen-Sensor Network

An interconnected network of people who actively observe, report, collect, coordinate, analyze, disseminate, and act upon information via text, links to other resources, and various media including audio, images, and videos

People-Content-Network Analysis (PCNA)

Social media analytics takes into account social media users (People), data shared on social media websites (Content), and the network of social media users (Network)

Semantic Web

Semantic Web is a group of methods and...

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Notes

Acknowledgments

We acknowledge contributions of these alumni and team members whose work has benefitted Twitris in different ways: Karthik Gomadam, Meena Nagarajan, and Ajith Ranabahu, and Pramod Anantharam, Shreyansh Bhatt, Prof. Krishnaprasad Thirunarayan, and Prof. Valerie Shalin. This work was partially supported by these NSF funded grants: “SoCS: Social Media Enhanced Organizational Sensemaking in Emergency Response” (IIS1111182), “I-Corps: Towards Commercialization of Twitris – a system for collective intelligence,” (1343041), and “PFI:AIR – TT: Market Driven Innovations and Scaling up of Twitris – A System for Collective Social Intelligence” (1542911). It is also partially supported by these NIH grants: “Modeling Social Behavior for Healthcare Utilization in Depression” (1 R01 MH105384-01A1) and “Trending: Social media analysis to monitor cannabis and synthetic cannabinoid use” (5R01DA039454-02). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the investigator(s) and do not necessarily reflect the views of the sponsor.

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Recommended Reading

  1. Sheth A, Thirunarayan K (2012) Semantics empowered Web 3.0: managing enterprise, social, sensor, and cloud-based data and services for advanced applications. Morgan & Claypool. ISBN: 1608457168Google Scholar

Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  • Amit Sheth
    • 1
  • Hemant Purohit
    • 1
    • 2
  • Gary Alan Smith
    • 1
  • Jeremy Brunn
    • 1
  • Ashutosh Jadhav
    • 1
    • 3
  • Pavan Kapanipathi
    • 1
    • 3
  • Chen Lu
    • 1
    • 4
  • Wenbo Wang
    • 1
    • 5
  1. 1.Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis)Wright State UniversityDaytonUSA
  2. 2.George Mason UniversityFairfaxUSA
  3. 3.IBM ResearchYorktown HeightsUSA
  4. 4.LinkedInMountain ViewUSA
  5. 5.GoDaddy, Inc.San FranciscoUSA