User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks-Reference-Cited by-同舟云学术

User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks

Published:2016-05 Issue: Volume:340-341 Page:122-143
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Arcaini Paolo^ORCID,Bordogna Gloria,Ienco Dino,Sterlacchini Simone

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference35 articles.

1. Flexible querying of volunteered geographic information for risk management;Arcaini,2013

2. Spatio-temporal and events based analysis of topic popularity in twitter;Ardon,2013

3. Quantifiying spatio temporal dynamics of tweeters replies to news feeds;Bießmann,2012

4. ST-DBSCAN: An algorithm for clustering spatial-temporal data;Birant;Data Knowl. Eng,2007

5. Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena;Bollen,2011

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Regional Knowledge: Sources, Representation and Management;Knowledge Management for Regional Policymaking;2022

2. Social velocity based spatio-temporal anomalous daily activity discovery of social media users;Applied Intelligence;2021-06-21

3. Implicit, Formal, and Powerful Semantics in Geoinformation;ISPRS International Journal of Geo-Information;2021-05-13

4. Identifying borders of activity spaces and quantifying border effects on intra-urban travel through spatial interaction network;Computers, Environment and Urban Systems;2021-05

5. Applying GIS and Text Mining Methods to Twitter Data to Explore the Spatiotemporal Patterns of Topics of Interest in Kuwait;ISPRS International Journal of Geo-Information;2020-11-25