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In this article we present Miuz, a robustness index for complex networks. Miuz measures the impact of disconnecting a node from the network while comparing the sizes of the remaining connected components. Strictly speaking, Miuz for a node is defined as the inverse of the size of the largest connected component divided by the sum of the sizes of the remaining ones. We tested our index in attack strategies...
With more and more social public attention from microblog opinion leaders, they have gradually become the essential role to publicize information and influence public opinion in microblog platform, whose ability in monitoring and guiding public opinions also causes public focus. The thesis first proposes to start evaluation about influence of microblog opinion leaders from perspectives of individual...
This paper proposes CHOKeD, a novel stateless Active Queue Management (AQM) scheme, to provide fairness among competing flows in the Internet. CHOKeD protects responsive flows by penalizing unresponsive flows, and by allocating bandwidth fairly. CHOKeD features such as fairness, high throughput and stateless design are promising for its deployment over the edge as well as the core routers. ns-2 simulations...
We describe a cross-lingual approach for sentence compression of articles of Japanese Wikipedia using the correspondence of articles of Simple English Wikipedia. Taking advantages of the nature of the corpus, we can find essential parts from encyclopedic description without highly depending on the statistical information which are noisy. We manually explored the correspondences between the articles...
The Internet has always been growing with all the contents and information added by different types of users. Without proper storage and indexing, these contents can easily be lost in the sea of information housed by the Internet. Hence, an automated program, known as the web crawler is used to index all the contents added to the Internet. With proper configurations and settings, a web crawler can...
With the rapid growth of hierarchical data in public opinion analysis, users are in urgent need of information visualization techniques to present the data in an intuitive way in order to reveal the characteristics of the data, understand the rules behind the data, and then assist them in decision-making process. This research makes improvement in the display insufficiency of leaf nodes in the radial...
The aim of this paper was to propose a classification system composed of monolingual classifiers and a multilingual decision module, for handling large numbers of multilingual documents. The system was compared with two monolingual classifiers, respectively for English and Polish, and with the maximum probability model. The tests were carried out over multilingual documents that contained components...
MapReduce is an attractive programming model for large-scale data-parallel applications. However, the original MapReduce framework also needs some optimizations to improve its performance. In this paper, we propose a novel bloom filter based lightweight MapReduce index (BF-MapReduce). Instead of scanning the whole dataset, our approach uses an auxiliary index to quickly skip unnecessary data segments,...
The Great Firewall of China (GFW) has recently put in place an internet filtering scheme based on DNS injection and poisoning that may have far reaching effects on DNS servers outside China borders and that may cause DDoS-like traffic on unknowing and apparently randomly selected sites. We provide an analysis of the traffic collected during such a DDoS-like attack and of the effects of large-scale...
Trust is one of most important factor for selecting suitable trading partner in B2B e-market. There is no such single element on which trust can be measured it is conceptualized in different levels and methods. In this paper we proposed a cognition based trust model to measure trustworthiness of businesses in B2B e-market. This paper reports on design details of our model and empirical validation...
Customer satisfaction influencing factors in E-shopping were analyzed in this paper. An index system on customer satisfaction was constructed based on 19 indicators from five categories in E-shopping. Analytic Hierarchy Process was used to calculate the weight of each indicator and this establishes a foundation for further empirical research.
In general website evaluation includes website function and website content and website credit, customer service and enterprise strength, website security, its interface design and website technology. These studies mainly are based on evaluation approach on traditional websites. The arrival of the era of big data provides new opportunities and challenges to the construction and application of electronic...
With the rapid development of the Internet, XML (eXtensible Markup Language) has become the standard data format for representation and exchange on the Internet. In many applications, XML files are transferred in a form of continuous streams. For example, in publishing- subscription systems, data is recorded in an XML format and the conditions of the user's subscription are expressed as queries. Thus,...
The rapid development of Internet provides a more convenient, effective platform for science and technology communication. In recent years, many websites in China have played an important role for science and technology communication, and promote the popularization of science and technology. But at the same time, there are some problems inevitably in the process of development. How to objectively...
Evaluating the accuracy of vulnerability security risk metrics is important because incorrectly assessing a vulnerability to be more critical could lead to a waste of limited resources available and ignoring a vulnerability incorrectly assessed as not critical could lead to a breach with a high impact. In this paper, we compare and evaluate the performance of the CVSS Base metrics and Microsoft Rating...
Traditional ontology alignment (OA) systems focus on aligning well defined and structured ontologies from the same or closely related domain to produce a set of equivalence mappings between concepts in the source and target ontologies. Linked Open Data (LOD) ontologies, however, present different characteristics from standard ontologies. For example, equivalence relations are limited among LOD concepts;...
Microblog service has attracted much attention in big data analysis. Twitter statistics remark that the average number of tweets per day is greater than 100 million and many thousands of them happen every minute. It's an urgent challenge to face with such a large amount of collected tweets. This work defines an online query-focused Twitter summarization framework. It crawls and semantically indexes...
Internet finance is an emerging area which combines traditional finance industry and Internet spirit. In this paper we have analyzed the positive information value of big data in Internet finance business activities, such as the long tail user management, risk supervision, the third party payment, micro credit, crowd funding, online manage money matters, business recommendation, the transaction subject...
With the rapid development of E-commerce, more and more E-commerce enterprises attach great importance to customer experience, and B2C E-commerce enterprises make no exception. Based on previous research literatures, the research discusses influence factors of customer experience for B2C E-commerce enterprises, establishes index system of customer experience for B2C E-commerce enterprises, apply analytic...
Response effect assessment of Internet public opinion is a very important aspect of Internet public opinion response. It can summarize the response and handling works of public opinion and make it clear to the advantages and disadvantages during the process, and then provide guidance to future work. This paper presents assessment program for response effect of Internet public opinion used AHP and...
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