学术论文
学术论文  
时间: 2017-03-28


序号

作者

论文题目

发表

刊物

卷页

1

Cao Yu

Han Jingti

 A Simple Contagion Model of Collective Risk-Averse Behavior on Inter-Enterprise Network

International Conference on Information Management and Engineering.

(EI)

 

2

Han Jingti

Cao Yu

The Effectiveness of SIFIs Indicators on Clustering-tune Interbank Network  

International Conference on Progress in Informatics and Computing.

(EI)

 

3

Pei Yu

Qiang Guo

Ren-De Li

Jing-Ti Han

Jian-Guo liu

Roles of clustering properties for degree-mixing pattern networks

World Scientific.

 

4

Yu Xiao

JingtiHan

Forecasting new product diffusion with agent-based models

Technological Forecasting & Social Change

105:

167178

5

Jia-HuaWang

Qiang Guo

Kai Yang

Yi-Lu Zhang

Jingti Han

Guo Liu

Popularity and user diversity of online objects

Physica A

461 :

480486

6

Xiao-Lu Liu

Jian-Guo Liu

Kai Yang

Qiang Guo

Jing-Ti Han

Hanb,Identifying online user reputation of user–object bipartite networks

,Physica A

467 : 508–516

7

Qiang Guo

Lei Jia

Jian-Guo Liu

Jingti Han

Hanb,Evolution properties of online user preference diversity

Physica A

468: 698–713

8

Qiang Guo

Guang Liang

Jia-Qi Fu

Jing-Ti Han

Jian-Guo Liu

Roles of mixing patterns in the network reconstruction

PHYSICAL REVIEW E

94, 052303

9

Ren-De Lia

Qiang Guo

Jing-Ti Han,

Jian-Guo Liu

Collective  behaviors  of  book  holding  durations

Physics Letters A

380 :

3460–3464

 

Xiaohong Wu, Yonggen Gu, Jingti han, et al

An online greedy allocation of VMs with non-increasing reservations in clouds

Journal of Supercomputing

72: 371-390.

10

韩景倜

陈群

不确定条件下 P2P 网贷平台运营与政府监管演化博弈稳定性分析

商业研究.

467:

36-44

11

卢盛祺

管连

金敏

韩景倜

LDA模型在网络视频推荐中的应用

微型机与应用

35

74-79

12

肖宇

韩景倜

异质阈值决策规则下的复杂网络扩散

复杂系统与复杂性科学

13

47-57

13

韩景倜

曹宇

基于避险行为的银行间网络系统性风险传染研究

复杂系统与复杂性科学

2016.12在线出版(纸质版2017年第2期)

时间: 2015-07-28
       Choose the database, which stored 10 years’ papers related to cloud computing from 2005 to 2015 in CNKI, as the data source. Then through screeningkeywords to obtain the required data, which select to obtain high frequency words. Through the use of SPSS software for cluster analysis to study the relationship between the high frequency words. High frequency words are selected as component of their class group, divided in corresponding key research areas. By using the method ofliterature quantitative analysis to make high frequency words statistics and the year of publication statistics, which can describe the current research distribution of cloud computing. Finally, make the conclusion and give the research directions for relevant personnel reference.