Titlebook: Internet Science; Third International Franco Bagnoli,Anna Satsiou,Dominic DiFranzo Conference proceedings 2016 Springer International Publ

到凝乳

书目名称Internet Science影响因子(影响力)




书目名称Internet Science影响因子(影响力)学科排名




书目名称Internet Science网络公开度




书目名称Internet Science网络公开度学科排名




书目名称Internet Science被引频次




书目名称Internet Science被引频次学科排名




书目名称Internet Science年度引用




书目名称Internet Science年度引用学科排名




书目名称Internet Science读者反馈




书目名称Internet Science读者反馈学科排名

索赔

暂时休息

Debate About the Concept of Value in Commons-Based Peer Production the internal performance of the CBPP and the second relates to its social value and reputation. Finally we highlight the main features of value that we identified and discuss the limits that we found developing and implementing the proposed diversity indicators.

GLADE

Collective Intelligence Heuristic: An Experimental Evidencechosocial variables were considered in order to check how they affect the cooperative behaviour of participants, but they do not seem to have a significant impact on individual cooperation probability, supporting the idea that a partial de-individualization operates in virtual environments.

讽刺滑稽戏剧

Results of a Collective Awareness Platforms Investigationgy of users. In order to develop a more accurate model of CAPs, and to understand more deeply the motivation of the users and the type of expected payoff, we analysed those CAPs from the above list that are still alive and we used two models developed for what concerned the virtual community and the collective intelligence.

Classify

严重伤害

CYT

Application Design and Engagement Strategy of a Game with a Purpose for Climate Change Awareness exploring environmental content from multiple online sources. This paper presents the motivation and goals of the . from an interdisciplinary perspective, outlines the application design including the types of tasks built into the application, discusses incentive mechanisms, and analyses the pursued user engagement strategies.

Harass

NIL

Stable Topic Modeling with Local Density Regularizationlarization, where words in a local context window of a given word have higher probabilities to get the same topic as that word. We compare several models with local density regularizers and show how they can improve topic stability while remaining on par with classical models in terms of quality metrics.