社交网络工具在科学研究中的应用

doi:10.13998/j.cnki.issn1002-1248.2015.01.011

Abstract

Abstract: In the networked information society, social networking tools are increasingly penetrating into various areas of social life. As their functions quickly developed and evolved, social networking tools are also quickly applied to scientific researches. These tools help researchers to manage references, improve the efficiency of doing surveys and analyzing statistics, and provide a new way of communication. This paper analyzes the functions of some common social networking tools, investigates the situation of researchers’ using them, and introduces some mature tools abroad used for researches.

Key words: Social network

CLC Number:

G250.76

WANG Rui, ZHANG He-wei. On the Application of Social Networking Tools to Scientific Researches[J]., 2015, 27(1): 44-47.

References

[1] 社交网络.百度百科[EB/OL].[2014-06-16].http://baike.baidu.com/view/1405540.htm.
[2] Foursquare Now Officially At 10 Million Users[EB/OL].[2014-06-17].http://techcrunch.com/2011/06/20/foursquare-now-officially-at-10-million-users/.
[3] Bollen J, Mao H, Zeng X.Twitter mood predicts the stock market[J]. Journal of Computational Science,2011,2(1):1-8.
[4] Weber G M. Harvard Catalyst Profiles: Converting a Research Networking Product to Use Linked Open Data and the VIVO Ontology[C].Washington DC:Vivo National Conference, August 24-26,2011.
[5] mendeley[EB/OL].[2014-06-10].http://www.mendeley.com.
[6] Powell J E,Collins L M,Martinez M L B. Semantically Enhancing Collections of Library and Non-library Content[J].D-Lib Magazine,2010,16(7/8).

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