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LBSN16: Proceedings of the 9th ACM SIGSPATIAL Workshop on Location-based Social Networks
ACM2016 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SIGSPATIAL'16: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Burlingame CA USA 31 October 2016- 3 November 2016
ISBN:
978-1-4503-4586-6
Published:
31 October 2016
Sponsors:
In-Cooperation:

Reflects downloads up to 09 Nov 2024Bibliometrics
Abstract

No abstract available.

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research-article
Discovering New Socio-demographic Regional Patterns in Cities
Article No.: 1, Pages 1–9https://doi.org/10.1145/3021304.3021305

During the past few years, the analysis of data generated from Location-Based Social Networks (LBSNs) have aided in the identification of urban patterns, understanding activity behaviours in urban areas, as well as producing novel recommender systems ...

research-article
Public Access
Annotating Geographical Objects in OpenStreetMap with Geo-tagged Social Media
Article No.: 2, Pages 1–8https://doi.org/10.1145/3021304.3021306

Recent years have witnessed an explosion of geospatial data, especially in the form of Volunteered Geographic Information (VGI). As a prominent example, OpenStreetMap (OSM) creates a free editable map of the world from a large number of contributors. On ...

research-article
Geographical Knowledge Discovery applied to the Social Perception of Pollution in the City of Mexico
Article No.: 3, Pages 1–6https://doi.org/10.1145/3021304.3021307

Nowadays, experts and citizens at large are keen to express their opinions using social networks on many issues, this generating a new form of participatory democracy. The research presented in this paper proposes a preliminary research work that ...

research-article
Visualizing High-Risk Paths using Geo-tagged Social Data for Disaster Mitigation
Article No.: 4, Pages 1–8https://doi.org/10.1145/3021304.3021308

The 2011 Tohoku earthquake and tsunami showed the importance of smooth evacuation to nearby safe evacuation facilities. Smooth evacuation from crowded areas like train stations is difficult because people facing disaster often cannot find good paths to ...

research-article
Public Access
Analysis of geolocalized social networks based on simplicial complexes
Article No.: 5, Pages 1–8https://doi.org/10.1145/3021304.3021309

A common issue in network analysis consists in the detection and characterization of the key vertices and communities. To this purpose, visualization tools could be of great help to support domain experts in analyzing this kind of data. However, the ...

Contributors
  • Arizona State University

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Acceptance Rates

Overall Acceptance Rate 8 of 15 submissions, 53%
YearSubmittedAcceptedRate
LBSN '0915853%
Overall15853%