博客圈争夺战

不久前博客软件及服务提供商大部分还都是一些相对较小的新兴公司,但现 在微软这样业界巨子的出击,给博客圈带来了一系列变化。     

结构特征和内容分析融合的博客文章分类

针对博客文章内容上,包含多个主题,类别归属不明显,多为作者自己主观意见且结构上,包括不同于文本的标签,普通文本分类方法直接应用于博客文章效果不理想的问题,提出一种结构特征和内容分析融合的博客文章分类方法。内容上,通过迭代两种不同特征选择方法,提高特征集代表性的前提下,利用正文,标题两个方面分类.结构上,利用博客文章特有的标签分类,并将三个方面融合。实验结果表明,改进的分类方法有效地提高了博客文章分类的性能。     

多特征融合的博客文章分类方法

博客已经成为了互联网上最热门的应用之一.博客文章内容千差万别,对其进行分类具有重要意义.博客文章有别于新闻文章,普通文本分类方法直接应用于博客文章效果不理想.提出一种新的方法,充分利用了博客文章特有的Tag、用户自定义类别等多个特征,并对各项特征进行融合.另外,通过对自定义类别进行预处理,过滤与类别无关的噪声单词.实验结果表明多特征融合的方法能够有效提高博客文章分类的准确率.     

博客网站使用报告

文章选取了在中国使用率高的几大博客网站,根据它们所提供的功能,列举了各个博客网站的特色优势,并对它们的优缺点进行了分析,进而勾勒出了博客在中国的发展现状.     

博客资源数据挖掘研究现状

目前中国有3.73亿网民拥有博客,博客网站上已经存在海量的信息。对这些博客资源进行挖掘,可以获得有价值的信息。博客资源挖掘是Web数据挖掘的一种具体应用。探讨了国内外学者对博客资源进行数据挖掘的已有成果、各种方法与技术,涉及到博客网页的识别、博客传播特征、语义博客系统、博客之间的链接与交互、博客作者信息挖掘、博客主题挖掘、博客分类与聚类算法等。热点话题挖掘是博客数据挖掘的一种具体形式,也介绍了博客热点话题挖掘的方法与技术。     

“空心”博客

最近，一份博客调查报告引起了人们对休眠博客的关注。中国互联网协会发布的《2006年中国博客调查报告》显示，截至到8月底，我国博客作者规模已达到1750万。他们注册了3400万个博客空间，但是超过7成处于“睡眠”状态，每个月才更新一次。     

炫彩心动之旅新版新浪博客体验

如今,博客对于大家来说早已经不是什么新鲜玩意儿了,很多人甚至同时拥有几个博客,在上面发表不同的文章内容。新浪博客在网络博客圈中可谓是享有盛名,也算得上是用户较多的一个博客服务。前不久,新浪博客进行了全新升级,称之为“炫彩心动新版”。新版新浪博客在承袭原先稳定性的基础上,究竟还增加了哪些令人心动的“炫彩”功能呢？下面,我们就一起来探究一下新版新浪博客的炫彩心动版本吧。     

浅析博客在教学的应用

博客是当今网络的热点之一,将之作为教学的辅助工具越来越受到学生的喜爱.本文主要分析了博客以及博客与其他网络工具的区别,并且阐述了博客作为学习平台的意义.     

浅析电子商务中博客营销的使用技术与特点

随着博客的兴盛,博客营销作为一种新的营销方式出现在人们面前.本文通过总结博客营销的发展现状和特点,对这种新的电子商务模式进行了探讨和展望.     

博客营销三思而后行

作为一种新兴的网络营销方式,博客营销的出现给企业经营带来了新的活力,然而企业在实际操作中存在很大的盲目性。本文就现阶段博客营销应用存在的问题,探寻博客营销应遵循的营销理念,并结合博客的特性,力图为企业有效实施博客营销提供参考性指导。     

A note on maximizing the spread of influence in social networks

We consider the spread maximization problem that was defined by Domingos and Richardson (2001, 2002) [7] and [22]. In this problem, we are given a social network represented as a graph and are required to find the set of the most “influential” individuals that by introducing them with a new technology, we maximize the expected number of individuals in the network, later in time, that adopt the new technology. This problem has applications in viral marketing, where a company may wish to spread the rumor of a new product via the most influential individuals in popular social networks such as Myspace and Blogsphere.The spread maximization problem was recently studied in several models of social networks (Kempe et al. (2003, 2005) [14] and [15], Mossel and Roch (2007) [20]). In this short paper we study this problem in the context of the well studied probabilistic voter model. We provide very simple and efficient algorithms for solving this problem. An interesting special case of our result is that the most natural heuristic solution, which picks the nodes in the network with the highest degree, is indeed the optimal solution.     

Holarchy formation and optimization in holonic manufacturing systems with contract net

Holonic manufacturing systems (HMS) is based on the notion of holon, an autonomous, cooperative and intelligent entity to provide a econfigurable, flexible and decentralized manufacturing environment to respond to changing needs and opportunities. A set of holons that cooperate to achieve a goal forms a holarchy. How to design a mechanism to form a holarchy to achieve a goal while minimizing the overall cost is a challenge. The objectives of this paper are to propose models and develop collaborative algorithms to guide the holons to form a holarchy to coherently move toward the desired goal state ultimately. We adopt contract net protocol (CNP) to model mutual selection of holons in forming a holarchy. We formulate a holarchy optimization problem to minimize the cost subject to the feasibility constraints. To analyze the feasibility of a holarchy, a Petri net (PN) model is proposed. As classical PN models do not take into account the cost involved in firing transitions, we augment the PN model with cost functions in the problem formulation. Due to the distributed architecture of HMS, the internal structure of each potential holarchy that acts as bidder in CNP is not available to the manager. A key issue is to determine the feasibility of a holarchy without constructing the whole PN model of the given hierarchy. We study the feasible conditions for a holarchy and propose a collaborative algorithm to analyze the feasibility and award contracts to holons without constructing the whole model of a holarchy.     

Design of phononic materials/structures for surface wave devices using topology optimization

We develop a topology optimization approach to design two- and three-dimensional phononic (elastic) materials, focusing primarily on surface wave filters and waveguides. These utilize propagation modes that transmit elastic waves where the energy is contained near a free surface of a material. The design of surface wave devices is particularly attractive given recent advances in nano- and micromanufacturing processes, such as thin-film deposition, etching, and lithography, which make it possible to precisely place thin film materials on a substrate with submicron feature resolution. We apply our topology optimization approach to a series of three problems where the layout of two materials (silicon and aluminum) is sought to achieve a prescribed objective: (1) a grating to filter bulk waves of a prescribed frequency in two and three dimensions, (2) a surface wave device that uses a patterned thin film to filter waves of a single or range of frequencies, and (3) a fully three-dimensional structure to guide a wave generated by a harmonic input on a free surface to a specified output port on the surface. From the first to the third example, the resulting topologies increase in sophistication. The results demonstrate the power and promise of our computational framework to design sophisticated surface wave devices.     

Learning criterion and inductive behaviour

Inductive behaviours may be classified according to their aim. We intend to show that there are at least two kinds of inductive behaviours. Most of the publications seem to take into consideration only one of these: to copy as exactly as possible the behaviour of a probability process. After a brief discussion to explain the necessity of a learning criterion and a recall about one criterion, representative of most of them, we shall define a new criterion, and show why it is better fitted to learn the laws of a deterministic process from a set of observations.This criterion has been used to implement a program which builds an acceptor of natural language sentences in a CAI environment using a tutorial strategy, and then for a question answering device. As attractive as the results are, their improvement requires a semantic model. We give the basic principles of a model which we currently develop, and whose main feature is approximation.     

A distributed learning model for Freshwater Ecology practical classes

Abstract This paper describes a case study where a distributed learning model was used to enhance the traditional teaching of a freshwater ecology practical class by providing students with a student-centred constructivist environment. Prior to the practical session, a website was created and students were encouraged to think about the morphological adaptations of stream organisms. They were then divided into groups and taken to a real stream to collect specimens and bring them back to the laboratory for further examination and discussion. After the practical, each student group was required to produce a web page concerning the adaptations of the stream organisms to answer a set of online tutorial questions, and to participate in web-based discussion. Feedback by questionnaire showed that the great majority of students enjoyed working with the website and found the content very useful. More than half of the students preferred this type of web-assisted, student-centred practical to conventional practicals, while about a third showed no special preference between the two approaches.     

Particle swarm algorithm with adaptive constraint handling and integrated surrogate model for the management of petroleum fields

This paper deals with the development of effective techniques to automatically obtain the optimum management of petroleum fields aiming to increase the oil production during a given concession period of exploration. The optimization formulations of such a problem turn out to be highly multimodal, and may involve constraints. In this paper, we develop a robust particle swarm algorithm coupled with a novel adaptive constraint-handling technique to search for the global optimum of these formulations. However, this is a population-based method, which therefore requires a high number of evaluations of an objective function. Since the performance evaluation of a given management scheme requires a computationally expensive high-fidelity simulation, it is not practicable to use it directly to guide the search. In order to overcome this drawback, a Kriging surrogate model is used, which is trained offline via evaluations of a High-Fidelity simulator on a number of sample points. The optimizer then seeks the optimum of the surrogate model.     

A hybrid system approach for supporting digital libraries

A digital library (DL) consists of a database which contains library information and a user interface which provides a visual window for users to search relevant information stored in the database. Thus, an abstract structure of a digital library can be defined as a combination of a special purpose database and a user-friendly interface. This paper addresses one of the fundamental aspects of such a combination. This is the formal data structure for linking an object oriented database with hypermedia to support digital libraries. It is important to establish a formal structure for a digital library in order to efficiently maintain different types of library information. This article discusses how to build an object oriented hybrid system to support digital libraries. In particular, we focus on the discussion of a general purpose data model for digital libraries and the design of the corresponding hypermedia interface. The significant features of this research are, first, a formalized data model to define a digital library system structure; second, a practical approach to manage the global schema of a library system; and finally, a design strategy to integrate hypermedia with databases to support a wide range of application areas. Received: 15 December 1997 / Revised: June 1999     

一种基于 PageRank 的微博用户影响度评估算法

微博已成为主流的在线社交网络平台,用户的影响力已成为衡量用户价值的一个重要指标。本文基于PageRank算法,通过分析用户之间的兴趣相似度、相对发帖活跃度、相互反馈互动程度来计算一个用户对其所关注的用户的关注程度,提出一个能够评估用户在微博上实际影响度WeiboRank算法。实验数据分析表明,该算法得到的用户影响度值能较客观地反映用户在其所处的虚拟社交网络中的实际影响度。     

Semantic constraint specification and verification of ebXML business process specifications

Electronic Business using eXtensible Markup Language (ebXML) Business Process Specification Schema (BPSS) supports the specification of the set of elements required to configure a runtime system in order to execute a set of ebXML business transactions. The BPSS is available in two stand-alone representations; a UML version and an XML version. Due to the limitations of UML notations and XML syntax, however, the current ebXML BPSS specification is insufficient to formally specify semantic constraints of modeling elements. In this study, we propose a classification scheme for BPSS semantic constraints, and describe how to represent those semantic constraints formally using Object Constraint Language. As a way to verify a particular Business Process Specification (BPS) with formal semantic constraint modeling, we suggest a rule-based approach to represent the formal semantic constraints, and describe a detail mechanism to apply the rule-based specified constraints to the BPS in a prototype implementation.     

Ordering Method and Empirical Study on Multiple Factor Sensitivity of Group Social Attitudes Based on Entropy Theory

When studying the various factors affecting a group’s social attitudes, minor changes in a factor will easily cause changes to other factors due to their association and relevance to each other; therefore, such a factor is more sensitive, although there is a difference between sensitivity and importance. In order to comprehensively learn about the influence of multiple factors, explorations based on entropy theory have been conducted to determine the sensitivity of each factor, to specify the difference between the frequency and sensitivity priority of entropy theory, and to provide a method, a way of thinking, and a detailed basis for the resolution of actual problems.