La introducción de la lengua huasteca a Internet. Una estrategia para crear comunidades virtuales en lenguas amerindias.

作者: José Luis González Compeán , , Anuschka van’t Hooft , Jesús Carretero Pérez , Luis Flores Martínez

DOI: 10.32870/CYS.V0I28.6399

关键词:

摘要: This paper analyses the strategy to create virtual communities in Amerindian languages through a description of transition process Huastec language from oral domains Internet. We identify most effective strategies encourage participation speakers their native on

参考文章(11)
Andrew Jordan Miller, Social Informatics and Virtual Communities: A Literature Review Learning and Performance Quarterly. ,vol. 2, pp. 28- 36 ,(2014)
Honglei Li, Virtual Community Studies: A Literature Review, Synthesis and Research Agenda americas conference on information systems. pp. 324- ,(2004)
Gary William Flake, Steve Lawrence, C. Lee Giles, Efficient identification of Web communities knowledge discovery and data mining. pp. 150- 160 ,(2000) , 10.1145/347090.347121
John Hagel, Arthur G. Armstrong, Net Gain: Expanding Markets through Virtual Communities ,(1997)
Jacqueline A. Dempster, Helen Beetham, Peter Jackson, Steven Richardson, Creating virtual communities of practice for learning technology in higher education: issues, challenges and experiences Research in Learning Technology. ,vol. 11, pp. 103- 117 ,(2003) , 10.3402/RLT.V11I3.11288
J.L. Gonzalez, Jesus Carretero Perez, Victor Sosa-Sosa, Juan F. Rodriguez Cardoso, Ricardo Marcelin-Jimenez, An approach for constructing private storage services as a unified fault-tolerant system Journal of Systems and Software. ,vol. 86, pp. 1907- 1922 ,(2013) , 10.1016/J.JSS.2013.02.056
Ai-Mei Chang, P.K. Kannan, A.B. Whinston, Electronic communities as intermediaries: the issues and economics hawaii international conference on system sciences. ,vol. 5, pp. 5041- 5041 ,(1999) , 10.1109/HICSS.1999.772942
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin, Detecting communities and their evolutions in dynamic social networks--a Bayesian approach Machine Learning. ,vol. 82, pp. 157- 189 ,(2011) , 10.1007/S10994-010-5214-7