Understanding Human Mobility from Twitter. - Wikidata - wikimedia - TriplyDB

Understanding Human Mobility from Twitter.

Understanding Human Mobility from Twitter.

http://www.wikidata.org/entity/Q35686091

about

Spatial and Social Media Data Analytics of Housing Prices in Shenzhen, China Analysing human mobility patterns of hiking activities through complex network theory.Diffusion in Colocation Contact Networks: The Impact of Nodal Spatiotemporal Dynamics Measuring directional urban spatial interaction in China: A migration perspective.Multi-scale spatio-temporal analysis of human mobility.Social sensing of urban land use based on analysis of Twitter users' mobility patterns.Mathematical models for predicting human mobility in the context of infectious disease spread: introducing the impedance model.Why do people move? Enhancing human mobility prediction using local functions based on public records and SNS data.Immigrant community integration in world cities.Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter.Revisiting the death of geography in the era of Big Data: the friction of distance in cyberspace and real space Data-driven Human Mobility Modeling

P2860

Q30000300-B3E302F4-F057-4C99-9690-A918D261B10E Q33724841-9CB8D968-F5A2-4749-BFF9-26146E38D2B6 Q36097581-4DE04F84-082B-4A8A-B742-BB4023BC53C3 Q36265077-6DDA0757-69ED-4CD4-8BA3-B97AF8343F21 Q36281148-F7A967BC-118F-4E28-BBC0-7450C0478957 Q38671890-8F04344D-F0F1-431B-8F6B-B00E0DAB592A Q47121079-3402A793-98E6-4EB4-8281-96404399DD97 Q50047264-D633A62B-C2F5-4530-B88E-C483AB7C9B6D Q52656018-13F56A65-7024-4B1D-8B35-2E8CB845988A Q55470677-667066B2-3B31-4FFF-BC36-245A04C764EC Q57199269-88CD800A-5EBB-47C4-8FF1-C393DD961D57 Q57572400-5F8D9695-0AC1-4539-81BC-E77FC15804E6

P2860

Understanding Human Mobility from Twitter.

http://www.wikidata.org/entity/Q35686091

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

Understanding Human Mobility from Twitter.

@ast

Understanding Human Mobility from Twitter.

@en

type

label

Understanding Human Mobility from Twitter.

@ast

Understanding Human Mobility from Twitter.

@en

prefLabel

Understanding Human Mobility from Twitter.

@ast

Understanding Human Mobility from Twitter.

@en

P1433

Q35686091-A73E84AC-FD9F-4530-9F51-95967FA2897C

P1476

Q35686091-16D3DB06-75BF-445B-ABA3-4023FD79EF5B

P2093

Q35686091-25CDB887-AC48-4945-AD11-935466F0E86E

Q35686091-5123B67E-D22D-4779-9ACF-67ECC1965C63

Q35686091-9E6C4169-2E05-4486-83D3-ED6D29A0407F

Q35686091-AADF6EBF-847C-4A0D-9348-65F2EA2FEC54

Q35686091-BF58E5E5-D7BF-46C8-ACC8-AC9F22800350

P2860

Q35686091-03F2404E-B225-4EA6-9B98-02BE41F1AF68

Q35686091-04FAB750-D5FB-4CE4-8DFF-18340FB061A9

Q35686091-0BE8F52B-DD4F-416B-91C4-C06E95D89EDD

Q35686091-0EA25B77-4904-4627-9906-463693F0B58D

Q35686091-32A9F7FC-D01D-4E92-BBA9-16C9A40793E2

Q35686091-3C733C22-128E-4218-8C48-B1ED90E3F669

Q35686091-3DC260D9-0885-4BFA-A311-4FF7A560E51D

Q35686091-3F6E7E69-A749-44F3-8CF3-40D6A6529E7E

Q35686091-4BAE9131-F9DB-49B3-AED1-8A3E193C130E

Q35686091-4F95B9A4-CC6F-4601-A055-61F1704F720D

P304

Q35686091-64E7CE0E-BD96-4304-AFF6-54ED499AF97F

P31

Q35686091-5C84C32D-40FC-4AE8-9332-FBF0E71827C3

P356

Q35686091-72AB9F96-FAB1-4E2D-830C-C16C33D254E5

P407

Q35686091-9242CF23-BAF1-43A0-85F3-EC991032807F

P433

Q35686091-DD6A5E65-3546-432C-938A-E1312862FCA8

P478

Q35686091-9BF0D5DC-B043-4395-90B6-BAE3DD9820D4

P50

Q35686091-FC78C1F9-20D2-4810-801D-6E197225FFCF

P577

Q35686091-FB3EB3BB-32D8-47A0-BCC7-5AE73A24A3C5

P5875

Q35686091-C5656105-7706-45CC-B7B0-9F28187361EE

P698

Q35686091-C1F4B1F8-C486-4046-9EE9-745FC1CC5F3F

P818

Q35686091-9C502353-76A3-4FC3-BFAB-B09AF2859613

P921

Q35686091-DE2E4561-59A7-4EE8-9BE5-41793EC53BD6

P932

Q35686091-E0B7C32C-C95B-4A05-A073-FE5C2AF87892

P356

JOURNAL.PONE.0131469

P1433

P1476

Understanding Human Mobility from Twitter

@en

P2093

David Newth

http://www.w3.org/2001/XMLSchema#string

Jiajun Liu

http://www.w3.org/2001/XMLSchema#string

Kun Zhao

http://www.w3.org/2001/XMLSchema#string

Mark Cameron

http://www.w3.org/2001/XMLSchema#string

Maurice AbouJaoude

http://www.w3.org/2001/XMLSchema#string

P2860

Multiscale mobility networks and the spatial spreading of infectious diseases

Understanding individual human mobility patterns

Intra-urban human mobility and activity transition: evidence from social media check-in data.

Dynamics of person-to-person interactions from distributed RFID sensor networks.

On the use of human mobility proxies for modeling epidemics.

Inferring human mobility using communication patterns

Contact patterns among high school students

A tale of many cities: universal patterns in human urban mobility

The scaling laws of human travel.

Quantifying human mobility perturbation and resilience in Hurricane Sandy.

P304

e0131469

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0131469

http://www.w3.org/2001/XMLSchema#string

P407

P433

7

http://www.w3.org/2001/XMLSchema#string

P478

10

http://www.w3.org/2001/XMLSchema#string

P50

P577

2015-07-08T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

279946569

http://www.w3.org/2001/XMLSchema#string

P698

26154597

http://www.w3.org/2001/XMLSchema#string

P818

1412.2154

http://www.w3.org/2001/XMLSchema#string

P921

P932

4496063

http://www.w3.org/2001/XMLSchema#string