Work2012

Analyzing the workload dynamics of a mobile phone network in large scale events

Faber Henrique Zacarias Xavier · Lucas Maia Silveira · Jussara Marques Almeida · Artur Ziviani · Carlos Henrique S. Malab · Humberto T. Marques-Neto

27 citations0/0 files stored

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 Wireless Communication Networks Research Opportunistic and Delay-Tolerant Networks

Abstract

The ever-increasing usage of mobile phones challenges carriers to evolve and improve their services based on their users' behavior. Nevertheless, it remains uncommon the usage of data about human mobility for discovering patterns which could support the dynamic resource allocation in urban areas. In particular, occasional large scale events impose patterns that may strongly differ from those observed in daily routines. In this paper, we present a methodology to characterize the workload dynamics of a mobile phone network during large scale events. Our study is based on calls made by mobile phone users of a major Brazilian cellphone carrier during soccer matches with a large number of attendees at Rio de Janeiro's urban area. The results of applying the proposed methodology may be used to improve the understanding on how users move within an urban area towards the location of a large scale event and how they disperse afterward, helping the management of mobile phone networks. Moreover, the uncovered mobility patterns may drive the development of target applications and gadgets for large scale events, such as World Soccer Cup matches.

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 — 27 citations exist upstream.

References

2008Understanding individual human mobility patterns 2010Limits of Predictability in Human Mobility 2009Inferring friendship network structure by using mobile phone data 2008Uncovering individual and collective human dynamics from mobile phone records 2009Understanding individual human mobility patterns 2011Collective Response of Human Populations to Large-Scale Emergencies 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events

Cited by

2018Understanding Human Mobility and Workload Dynamics Due to Different Large-Scale Events Using Mobile Phone Data 2018Discovering Mobile Application Usage Patterns from a Large-Scale Dataset 2024Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring 2016Diversity in Smartphone Usage 2021Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study 2024Application of cell phone data to monitor attendance during motor racing major event. The case of Formula One Gran Prix in Imola

Explore the map →

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

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