Titlebook: Computational Social Networks; Mining and Visualiza Ajith Abraham Book 2012 Springer-Verlag London 2012 Ad Hoc Network Applications and Ser

傳家寶

書目名稱Computational Social Networks影響因子(影響力)




書目名稱Computational Social Networks影響因子(影響力)學(xué)科排名




書目名稱Computational Social Networks網(wǎng)絡(luò)公開度




書目名稱Computational Social Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Social Networks被引頻次




書目名稱Computational Social Networks被引頻次學(xué)科排名




書目名稱Computational Social Networks年度引用




書目名稱Computational Social Networks年度引用學(xué)科排名




書目名稱Computational Social Networks讀者反饋




書目名稱Computational Social Networks讀者反饋學(xué)科排名

討厭

Sustainable Development Goals Series they will induce the formation of mSNs in the next decades. To this end, we will show how to carry out successful SN analyses (e.g. clustering and data diffusion) by connecting ethological approaches to social behaviour in animals (e.g. the study of firefly synchronization) and M2M interactions.

ZEST

https://doi.org/10.1007/978-3-319-27905-3er presents some of the techniques and methods for mining geo-referenced multimedia content in order to discover patterns and trends in it, which can lead to better understanding of the phenomena driving the data generation in the first place.

FOVEA

Performance Evaluation of Social Network Using Data Mining Techniquesnetwork analysis. Our proposed approach is intended to address the users of social network, that will not only help an organization to understand their external and internal associations but also highly necessary for the enhancement of collaboration, innovation and dissemination of knowledge.

MAOIS

神秘

Mining Geo-Referenced Community-Contributed Multimedia Dataer presents some of the techniques and methods for mining geo-referenced multimedia content in order to discover patterns and trends in it, which can lead to better understanding of the phenomena driving the data generation in the first place.

神秘

Analysis of Human-Computer Interactions and Online Social Networking: A Frameworkion and social networking. A framework is outlined for representing and measuring online social networks, especially those formed through Web 2.0 applications. A case study based on this framework is performed on Wikipedia.

Ingratiate

五行打油詩

拱形面包

https://doi.org/10.1007/978-3-319-27905-3ges faced by data mining applications. Later in this chapter, characteristics of a real data collected from the Twitter are analysed. At the end of chapter, application of micro-blogging services is shown by three different case studies.