Predicting citation counts based on deep neural network learning techniques

With the growing number of published scientific papers world-wide, the need to evaluation and quality assessment methods for research papers is increasing. Scientific fields such as scientometrics, informetrics, and bibliometrics establish quantified analysis methods and measurements for evaluating scientific papers. In this area, an important problem is to predict the future influence of a published paper. Particularly, early discrimination between influential papers and insignificant papers may find important applications. In this regard, one of the most important metrics is the number of citations to the paper, since this metric is widely utilized in the evaluation of scientific publications and moreover, it serves as the basis for many other metrics such as h-index. In this paper, we propose a novel method for predicting long-term citations of a paper based on the number of its citations in the first few years after publication. In order to train a citation count prediction model, we employed artificial neural network which is a powerful machine learning tool with recently growing applications in many domains including image and text processing. The empirical experiments show that our proposed method outperforms state-of-the-art methods with respect to the prediction accuracy in both yearly and total prediction of the number of citations.     

复杂网络上传染病防控的研究

在分析小世界网络和无标度网络的概念和特征的基础上,回顾经典的传染病模型,从隔离和接种疫苗两个方面,对复杂网络上传染病防控的研究成果进行系统总结,并展望未来的发展趋势。     

一种应用于卫星通信的间接时间同步方法

针对卫星扩频通信系统的时间同步需求,提出一种基于GNSS授时的卫星通信前向链路间接时间同步方法。通过由星地自发自收链路与锁相环构成的钟差间接修正环路,对发送端码时钟进行闭环修正。这将使前向链路信号起始扩频码相位在到达接收端的时刻与卫星导航授时模块输出的1 PPS保持精确稳定的同步。实现了不需要位同步的扩频信号定时接收。分析并得到间接时间同步误差表达式及其与环路带宽的变化关系,给出使同步误差最小的最优环路带宽值。星地链路试验结果表明时间同步误差随环路带宽的变化关系与理论分析一致,最佳环路带宽对应的钟差间接修正环路秒脉冲1σ同步误差约为20 ns,验证了本方法的有效性。在此同步误差条件下,接收端成功地进行扩频伪码的同步和电文解调,实现了卫星导航授时对通信的辅助。     

论地方电大在线平台如何应对网络文化的挑战

网络文化的发展对地方电大在线平台有巨大的影响,从规范化、信息化、个性化到＂自由＂化。在线平台不仅要在平台页面和栏目上精心设计,内容丰富,及时更新,而且要搭建学员与教学人员及时互动的交流平台,同时大力强化网站管理,与相关学习之间门户联合,资源互补,以应对挑战。     

基于混合图的在线社交网络朋友推荐算法

针对在线社交网络朋友推荐问题,尝试融合多个社会网络为一个混合图模型,采用基于混合图模型的重启动随机游走算法,为用户提供个性化的朋友推荐,并通过参数调节多个网络的权重。实验表明,该算法提高了在线社交网络朋友推荐的准确性。     

数字图书馆中的智能推荐技术研究

为构建一种精确性较高的智能信息技术模型,对蚁群算法、SOM网络进行分析与研究,并基于两者构建智能推荐技术,运用该技术完成模型的建立与更新。最后利用已建模型对目前较通用的读者原始流通信息记录进行测试,验证结果表明该技术的个性化信息服务的准确率较高,且具有较高理论意义与应用价值。     

知识网络的结构及其知识活动分析

认为知识网络能帮助企业整合资源,获取竞争优势。对以知识链为基本单元的知识网络的内涵、结构及其知识活动进行分析,提出知识网络的构成要素包括网络节点、网络资源、网络活动和支撑环境四个部分,构建出知识网络结构示意图。在此基础上,分析知识网络中的知识活动以及知识活动的基本分析单位之间的知识流动模式。     

基于扩展模糊概念网的信息检索结果个性化的研究

电子文档和用户的增长导致了信息检索结果个性化模式的创新,从而更好地为用户偏好服务.个性化的内容检索旨在改善检索过程中考虑个别用户的特殊兴趣.本文提出了一种基于扩展模糊概念网的信息检索结果的个性化的新方法.在这种方法中,网页和用户偏好都将以扩展模糊概念网形式表示.扩展模糊概念网可看作是关系矩阵和关联矩阵模型,关系矩阵中的元素代表模糊概念间的关系,关联矩阵中的元素表明概念间的关联度.这种方法的好处是能找到用户查询的绝大多数文档并且更灵活、更好地显示给用户.     

试论手机媒体内容的信息网络传播权

当前,手机已成为继报刊、广播、电视、互联网之后被公众所广泛认知的"第五媒体",即手机媒体。手机媒体内容作为无可置疑的著作权法涵盖客体是手机媒体传播的主要对象,其信息网络传播权因手机媒体传播方式的多样性而受到巨大威胁。手机媒体内容信息网络传播权研究是著作权法学理论应用于手机媒体领域中的一项重要课题。文章以手机媒体内容的作品性为研究基点,探讨其信息网络传播权的内涵与特征,进而界定了常见的侵权行为。     

Professional networks, scientific collaboration, and publication productivity in resource-constrained research institutions in a developing country

We test the hypothesis that scientific collaboration is associated with increased publication productivity. We differentiate our approach from other studies by (a) incorporating professional networks in the productivity model, (b) casting productivity and collaboration as distinct phenomena, and (c) examining these phenomena in the context of resource-constrained research institutions in a developing country. We use survey data and employ negative binomial regression models. Results indicate that publication productivity is significantly linked to professional network factors, but there is no evidence of any association with scientific collaboration. We observe that most scientists collaborate in research projects despite coordination difficulties, and without any measurable impact on their productivity. Our interviews reveal that a possible answer to this puzzle appears to be rooted in a practice that views collaborative research projects not mainly as a means to producing knowledge and gaining recognition, but for acquiring professional opportunities and extrinsic rewards. Our findings suggest a new way of modeling publication productivity, with implications for science and innovation policy in both the developed and the developing world.