SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Automatic detection of user trajectories from social media posts · Study

ArticleShelves

ArticleAutomatic detection of user trajectories from social media posts

Loris Belcastro2021

Article2021

Automatic detection of user trajectories from social media posts

Loris Belcastro · Fabrizio Marozzo · Emanuele Perrella

15 citations·0/0 files stored·Expert Systems with Applications

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Human Mobility and Location-Based Analysis Geographic Information Systems Studies Data Management and Algorithms

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 15 citations exist upstream.

References

2015Extracting and understanding urban areas of interest using geotagged photos 2012Mining Travel Patterns from Geotagged Photos 2011Extracting urban patterns from location-based social networks 2013Exploration of geo-tagged photos through data mining approaches 2010A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos 2017SMA4TD: A social media analysis methodology for trajectory discovery in large-scale events 2016Analyzing social media data to discover mobility patterns at EXPO 2015: Methodology and results 2015Following soccer fans from geotagged tweets at FIFA World Cup 2014

Cited by

2023Using social media user profiles to identify visitor demographics and origins in Yellowstone national park 2024Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of Norway 2024The Impact of Scale on Extracting Individual Mobility Patterns from Location-Based Social Media

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2020Quantifying the Characteristics of the Local Urban Environment through Geotagged Flickr Photographs and Image Recognitionarticle · 3 shared references 2017Discovering Mobility Patterns of Instagram Users through Process Mining Techniquesother · 3 shared references 2016Point of interest mining with proper semantic annotationarticle · 3 shared references 2019Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media dataarticle · 2 shared references 2020Tourists’ digital footprint: The spatial patterns of tourist flows in Qingdao, Chinaarticle · 2 shared references 2018A graph-based approach to detecting tourist movement patterns using social media dataarticle · 2 shared references

Details

Year2021

Typearticle

Published2021-08-12

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations15

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

Identifiers

doi10.1016/j.eswa.2021.115733

openalex_workW3193786346

Links

Imported from OpenAlex (CC0) — nothing here is generated.