Titlebook: Social Media Analysis for Event Detection; Book 2022

纪念性

书目名称Social Media Analysis for Event Detection影响因子(影响力)




书目名称Social Media Analysis for Event Detection影响因子(影响力)学科排名




书目名称Social Media Analysis for Event Detection网络公开度




书目名称Social Media Analysis for Event Detection网络公开度学科排名




书目名称Social Media Analysis for Event Detection被引频次




书目名称Social Media Analysis for Event Detection被引频次学科排名




书目名称Social Media Analysis for Event Detection年度引用




书目名称Social Media Analysis for Event Detection年度引用学科排名




书目名称Social Media Analysis for Event Detection读者反馈




书目名称Social Media Analysis for Event Detection读者反馈学科排名

装入胶囊

拱形大桥

Critical Mass and Data Integrity Diagnostics of a Twitter Social Contagion Monitor, in hashtags, URLs, words and phrases, or account-handles, and then determines the extent to which a particular phenomenon spreads via the social network (in contrast to its spread via news broadcasts or independent adoption), by approximating its adoption threshold. It makes a second judgment about

疾驰

TenFor: Tool to Mine Interesting Events from Security Forums Leveraging Tensor Decomposition,ation to identify key users and threads within the events of interest. Additionally, we implement our approach as a powerful and easy-to-use platform for practitioners. In our evaluation, we find that 83% of our identified clusters capture important events and we find more important clusters compare

BILIO

前面

RISECURE: Metro Transit Disruptions Detection Using Social Media Mining And Graph Convolution,rea Transit Authority (WMATA) metro system. After developing the two different models, a Dynamic Query Expansion model and a Tweet-GCN to represent the data corpus we performed experiments and comparisons to other existing models, using two different benchmark datasets, to justify the efficacy of ou

Physiatrist

cancer

Youcef Benkhedda,Faical Azouaou,Sofiane AbbarM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores, 978-3-642-30863-5978-3-642-30864-2Series ISSN 2194-5357 Series E-ISSN 2194-5365

投射

Aleksey Panasyuk,Kishan G. Mehrotra,Edmund Szu-Li Yu,Chilukuri K. MohanM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores, 978-3-642-30863-5978-3-642-30864-2Series ISSN 2194-5357 Series E-ISSN 2194-5365

离开