Quantifying the impact of weak, strong, and super ties in scientific careers. - Test2 - elhamkhani - TriplyDB

Quantifying the impact of weak, strong, and super ties in scientific careers.

Quantifying the impact of weak, strong, and super ties in scientific careers.

http://www.wikidata.org/entity/Q36008311

about

Quantifying the negative impact of brain drain on the integration of European science Disambiguation of patent inventors and assignees using high-resolution geolocation data.To Model or not to Model, That is no Longer the Question for Ecologists.Using egocentric analysis to investigate professional networks and productivity of graduate students and faculty in life sciences in Japan, Singapore, and Taiwan.Mention effect in information diffusion on a micro-blogging network.Science of science Be Connected Multiscale impact of researcher mobility Cross-disciplinary evolution of the genomics revolution An Overview on Evaluating and Predicting Scholarly Article Impact Lifetime collaborators reap the benefits

P2860

Q33558571-9F6424D1-7397-4F9D-99B1-6EFF6F466991 Q33692729-318949C9-7746-478A-9ED7-F0A525928807 Q38635349-FD4F09E3-949F-473E-924C-A9A6256D944D Q42658310-2400EA33-07AB-4FE1-8AB6-A4B15A47536D Q52348983-5E779B0D-E42A-416C-8215-AFB12FB8EBD8 Q52370247-6EF5E8D7-CDEC-4A0A-B88A-6827C2A656D1 Q57403883-EC1FC5F0-C5B8-4190-9BDD-BDB13861C226 Q58694188-965708EB-0EA1-4E7C-ADC6-CCCB66767FD4 Q58778761-7727EC08-4102-460B-A8B3-539E622FE910 Q59286727-68916764-51C1-40EB-82F5-4244F267207E Q74440158-B4018677-906A-4319-B263-99A7EBB08F5C

P2860

Quantifying the impact of weak, strong, and super ties in scientific careers.

http://www.wikidata.org/entity/Q36008311

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

Quantifying the impact of weak, strong, and super ties in scientific careers.

@ast

Quantifying the impact of weak, strong, and super ties in scientific careers.

@en

type

label

Quantifying the impact of weak, strong, and super ties in scientific careers.

@ast

Quantifying the impact of weak, strong, and super ties in scientific careers.

@en

prefLabel

Quantifying the impact of weak, strong, and super ties in scientific careers.

@ast

Quantifying the impact of weak, strong, and super ties in scientific careers.

@en

P1433

Q36008311-3FBD6313-B4B5-4674-A1FD-49F15D9815F9

P1476

Q36008311-D8742BB4-082F-444F-978A-A7FF6EAD1C80

P2093

Q36008311-D1E1784C-2D36-47D0-93B7-930ABDB52D76

P2860

Q36008311-0827BB1C-E4EC-4DCD-B753-19EAA900F325

Q36008311-0BA94FE6-C6E4-4F93-84A1-470BB4B53E08

Q36008311-0C9F0BF7-BD1C-4FEF-A115-5D5F903ABA85

Q36008311-139C3A17-282F-46A0-95B9-6F4BDBF8F301

Q36008311-149E7854-8F04-4C0B-B3FB-C723F17BD3F4

Q36008311-1A7F0BC1-7D0C-465F-943A-AA0898BF6429

Q36008311-24B259F4-05DD-4963-9C60-B19B924987F6

Q36008311-27BD7881-2B0E-47F7-97FC-BDD88C00B4DE

Q36008311-28704800-7771-4C58-AD6D-1CD6F7832D7A

Q36008311-2B2ED4A7-D454-4370-9206-F29F8FA4829E

P304

Q36008311-837382B1-B6DB-412E-9D22-DB35F3EA1E4B

P31

Q36008311-2263250C-78DD-48A2-BC0D-5B06AE1FA2C3

P356

Q36008311-56A8655D-2180-419E-B88D-02B5792304AF

P407

Q36008311-E9179B90-2704-4E1F-855F-B1D78918EFD7

P433

Q36008311-A509B393-E8B4-48AA-BBA6-86E7C24FDA50

P478

Q36008311-C3AB4C68-8E8D-4A7E-AF8A-DB13A0317DE2

P50

Q36008311-56AB47A9-570E-4137-93F1-66B7F4885990

P577

Q36008311-1259CD6E-6FA8-42DC-8EF5-3B18F5DE3EDA

P5875

Q36008311-C0A49499-09A6-411A-9381-9E250D6045FC

P698

Q36008311-925BE1AF-7CDC-4D25-AAA9-E8FD43C3D304

P818

Q36008311-FE58B9DF-D939-45D1-967B-66860DDFA599

P932

Q36008311-C4C10343-1574-40D8-810A-0FF2A84FFE2B

P356

PNAS.1501444112

P1433

Proceedings of the National Academy of Sciences of the United States of America

P1476

Quantifying the impact of weak, strong, and super ties in scientific careers.

@en

P2093

Alexander Michael Petersen

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

P2860

Evidence for a Collective Intelligence Factor in the Performance of Human Groups

The structure of scientific collaboration networks

A multi-level systems perspective for the science of team science

On the predictability of future impact in science

Universality of citation distributions: toward an objective measure of scientific impact.

Team assembly mechanisms determine collaboration network structure and team performance

Collective credit allocation in science

Persistence and uncertainty in the academic career

Principles of scientific research team formation and evolution.

The simultaneous evolution of author and paper networks

P304

E4671-80

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

P31

scholarly article

P356

10.1073/PNAS.1501444112

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

P407

P433

34

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

P478

112

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

P50

Alexander M. Petersen

P577

2015-08-10T00:00:00Z

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

P5875

280967581

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

P698

26261301

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

P818

1509.01804

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

P932

4553788

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