demonstration

What's on the grapevine?

Authors:

Albert Angel,

Nick Koudas,

Nikos Sarkas,

Divesh SrivastavaAuthors Info & Claims

SIGMOD '09: Proceedings of the 2009 ACM SIGMOD International Conference on Management of data

Pages 1047 - 1050

https://doi.org/10.1145/1559845.1559977

Published: 29 June 2009 Publication History

Get Access

Abstract

User generated content and social media (in the form of blogs, wikis, online video, microblogs, etc) are proliferating online. Grapevine conducts large scale data analysis on the social media collective, distilling and extracting information in real time. It aims to track entities and stories of interest in millions of blog posts, thousands of tweets, news items, etc., daily. Grapevine facilitates the interactive exploration of content, allowing users to discover interesting or surprising stories, optionally narrowed down on a specific demographic of interest (e.g. "What are Torontonians talking about on blogs?", "What are popular stories across news sources in Canada?", "What are financiers in Texas blogging about today?"). Stories of interest can be explored in a variety of ways, such as modifying their scope, obtaining related content (blog posts, news, etc), and examining their temporal evolution.

References

[1]

Wikipedia. http://www.wikipedia.org.

Google Scholar

[2]

M. Banko, M. J. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni. Open Information Extraction from the Web. In IJCAI, 2007.

Digital Library

Google Scholar

[3]

N. Bansal and N. Koudas. BlogScope: A System for Online Analysis of High Volume Text Streams. In VLDB, 2007.

Digital Library

Google Scholar

[4]

K. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor. Freebase: a collaboratively created graph database for structuring human knowledge. In SIGMOD, 2008.

Digital Library

Google Scholar

Cited By

View all

Zhao KCong GChin JWen R(2019)Exploring market competition over topics in spatio-temporal document collectionsThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-018-0522-928:1(123-145)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s00778-018-0522-9
O’Mahony MSmyth B(2018)From Opinions to RecommendationsSocial Information Access10.1007/978-3-319-90092-6_13(480-509)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_13
Doshi ZNadkarni SAjmera KShah N(2017)TweerAnalyzer: Twitter Trend Detection and Visualization2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA)10.1109/ICCUBEA.2017.8463951(1-6)Online publication date: Aug-2017
https://doi.org/10.1109/ICCUBEA.2017.8463951
Show More Cited By

Index Terms

What's on the grapevine?
1. Information systems
  1. Information storage systems
    1. Storage architectures
      1. Storage network architectures

Recommendations

Bloggers and Readers Blogging Together: Collaborative Co-creation of Political Blogs

A significant amount of research has focused on blogs, bloggers, and blogging. However, relatively little work has examined blog readers, their interactions with bloggers, or their impact on blogging. This paper presents a qualitative study focusing ...
Analyzing online opinions and influence campaigns on blogs using BlogTracker
ASONAM '21: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Blogging has become an essential part of the new print media of the 21st century despite the emergence of social media platforms like Twitter and Facebook, with many news agencies, media outlets, journalists and users using this medium to write without ...
Analyzing the role of media orchestration in conducting disinformation campaigns on blogs
Abstract
Social media is undoubtedly a widely used communication platform that affords easier sharing and access to information. Even though social media is used for benevolent purposes, a few use this platform for deviant activities such as cyberbullying, ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

SIGMOD '09: Proceedings of the 2009 ACM SIGMOD International Conference on Management of data

June 2009

1168 pages

ISBN:9781605585512

DOI:10.1145/1559845

Editors:
Carsten Binnig,
Benoit Dageville,
General Chairs:
Uğur Çetintemel
Brown University, USA
,
Stan Zdonik
Brown University, USA
,
Program Chair:
Donald Kossmann
ETH Zurich, Switzerland

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2009

Check for updates

Author Tags

Qualifiers

Demonstration

Conference

SIGMOD/PODS '09

Sponsor:

SIGMOD/PODS '09: International Conference on Management of Data

June 29 - July 2, 2009

Rhode Island, Providence, USA

Acceptance Rates

Overall Acceptance Rate 785 of 4,003 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

15
Total Citations
View Citations
485
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)1

Reflects downloads up to 27 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zhao KCong GChin JWen R(2019)Exploring market competition over topics in spatio-temporal document collectionsThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-018-0522-928:1(123-145)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s00778-018-0522-9
O’Mahony MSmyth B(2018)From Opinions to RecommendationsSocial Information Access10.1007/978-3-319-90092-6_13(480-509)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_13
Doshi ZNadkarni SAjmera KShah N(2017)TweerAnalyzer: Twitter Trend Detection and Visualization2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA)10.1109/ICCUBEA.2017.8463951(1-6)Online publication date: Aug-2017
https://doi.org/10.1109/ICCUBEA.2017.8463951
Zhao KChen LCong GÖzcan FKoutrika GMadden S(2016)Topic Exploration in Spatio-Temporal Document CollectionsProceedings of the 2016 International Conference on Management of Data10.1145/2882903.2882921(985-998)Online publication date: 26-Jun-2016
https://dl.acm.org/doi/10.1145/2882903.2882921
Cordeiro MGama J(2016)Online Social Networks Event Detection: A SurveySolving Large Scale Learning Tasks. Challenges and Algorithms10.1007/978-3-319-41706-6_1(1-41)Online publication date: 3-Jul-2016
https://doi.org/10.1007/978-3-319-41706-6_1
Imran MCastillo CDiaz FVieweg S(2015)Processing Social Media Messages in Mass EmergencyACM Computing Surveys10.1145/277158847:4(1-38)Online publication date: 26-Jun-2015
https://dl.acm.org/doi/10.1145/2771588
Skovsgaard ASidlauskas DJensen C(2014)Scalable top-k spatio-temporal term querying2014 IEEE 30th International Conference on Data Engineering10.1109/ICDE.2014.6816647(148-159)Online publication date: Mar-2014
https://doi.org/10.1109/ICDE.2014.6816647
Angel AKoudas NSarkas NSrivastava DSvendsen MTirthapura S(2013)Dense subgraph maintenance under streaming edge weight updates for real-time story identificationThe VLDB Journal10.1007/s00778-013-0340-z23:2(175-199)Online publication date: 20-Oct-2013
https://doi.org/10.1007/s00778-013-0340-z
Lahiri BAkrotirianakis IMoerchen F(2013)Finding Critical Thresholds for Defining Bursts in Event LogsTransactions on Large-Scale Data- and Knowledge-Centered Systems VIII10.1007/978-3-642-37574-3_4(89-112)Online publication date: 2013
https://doi.org/10.1007/978-3-642-37574-3_4
Angel ASarkas NKoudas NSrivastava D(2012)Dense subgraph maintenance under streaming edge weight updates for real-time story identificationProceedings of the VLDB Endowment10.14778/2168651.21686585:6(574-585)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.14778/2168651.2168658
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Bloggers and Readers Blogging Together: Collaborative Co-creation of Political Blogs

Analyzing online opinions and influence campaigns on blogs using BlogTracker

Analyzing the role of media orchestration in conducting disinformation campaigns on blogs

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations