Does the type of event influence how user interactions evolve on Twitter? - Wikidata - awgldk - TriplyDB

Does the type of event influence how user interactions evolve on Twitter?

Does the type of event influence how user interactions evolve on Twitter?

http://www.wikidata.org/entity/Q35593701

about

Diffusion Dynamics of Energy Saving Practices in Large Heterogeneous Online Networks.Piecing together the puzzle: Improving event content coverage for real-time sub-event detection using adaptive microblog crawling.

P2860

Q31136466-6982B1C6-0922-401B-963E-4311FD4FAE67 Q47142615-AAC79F1C-D079-4EEC-98E6-161223B7E19A

P2860

Does the type of event influence how user interactions evolve on Twitter?

http://www.wikidata.org/entity/Q35593701

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

Does the type of event influence how user interactions evolve on Twitter?

@ast

Does the type of event influence how user interactions evolve on Twitter?

@en

type

label

Does the type of event influence how user interactions evolve on Twitter?

@ast

Does the type of event influence how user interactions evolve on Twitter?

@en

prefLabel

Does the type of event influence how user interactions evolve on Twitter?

@ast

Does the type of event influence how user interactions evolve on Twitter?

@en

P1433

Q35593701-F78834CC-ABBF-435C-B5DE-C16DEBC7F289

P1476

Q35593701-1F64D058-D5FD-4DBB-80AE-325A01F0FEE9

P2093

Q35593701-81F038B9-E439-4C14-B93A-D108A8A8A81C

P2860

Q35593701-61AFAF8B-F9A1-4C24-882F-C6F602072D66

Q35593701-6A671F09-6E47-42D6-ADF8-0736E0BDC0E9

Q35593701-A742D438-9A69-4737-86AB-78DBA8236F58

Q35593701-BFBABDAB-0005-41A6-B61D-725513F4D492

Q35593701-D01BA528-E30F-4663-9600-34D566727147

Q35593701-E51E82C8-3A5F-4954-8C45-B35523074DAC

P304

Q35593701-2848ACC7-13A4-44D3-96A3-65ED47E5B2A2

P31

Q35593701-EEE650B5-32C7-424C-B5CD-E30FD56F8B9F

P356

Q35593701-A44DF726-D63A-4B16-85D0-52782A35A841

P407

Q35593701-59308404-0A0E-4C4F-93EE-506A592AEC71

P433

Q35593701-BDE022FE-AB45-461F-B189-3BDC8D60CFC7

P478

Q35593701-CFD635C5-67EA-482C-87F9-CA604277E2F2

P50

Q35593701-76F1566A-CBA2-4B75-9AB2-FBB9CBD11DE8

Q35593701-EC3D6744-0D6F-4599-81F8-9702808D2099

P577

Q35593701-EB4A5B98-5A98-4D4D-8D32-20EED224B691

P5875

Q35593701-F5C011C5-748F-4F60-8356-79328E4C4E31

P698

Q35593701-DBC1F0F7-9286-4B6E-94E1-AC8A0A469503

P921

Q35593701-4CBED948-8BEE-4C3D-A157-3F2ED47CF07A

P932

Q35593701-158ADA33-E0AD-4ED5-AD14-608F121E6C58

P356

JOURNAL.PONE.0124049

P1433

P1476

Does the type of event influence how user interactions evolve on Twitter?

@en

P2093

Miguel Rebollo

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

P2860

Computational social science

Structural and dynamical patterns on online social networks: the Spanish May 15th movement as a case study

Predicting human preferences using the block structure of complex social networks.

Characterizing and modeling an electoral campaign in the context of Twitter: 2011 Spanish Presidential election as a case study.

Twitter power: Tweets as electronic word of mouth

P304

e0124049

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

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0124049

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

P407

P433

5

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

P478

10

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

P50

P577

2015-05-11T00:00:00Z

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

P5875

276519618

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

P698

25961305

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

P921

P932

4427504

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