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Early detection of depression is important to improve human well-being. This paper proposes a new method to detect depression through time-frequency analysis of Internet behaviors. We recruited 728 postgraduate students and obtained their scores on a depression questionnaire (Zung Self-rating Depression Scale, SDS) and digital records of Internet behaviors. By time-frequency analysis, we built classification...
With the ubiquitous Internet applications brought by widespread popularity of smart device, an exhaustive understanding of user behavior is becoming essential for Internet Service Providers (ISPs) to implement network management and resource optimization. Existing researches on mobile user behavior principally focus on studying people's application interests and mobility properties, especially characterizing...
Given a newly posted question on a Question and Answer (Q&A) site, how long will it take until an answer is received? Does response time relate to factors about how the question asker composes their question? If so, what are those factors? With advances in social media and the Web, Q&A sites have become a major source of information for Internet users. Response time of a question is an important...
The popularization of the Internet provide people with more quick and direct access to information channel, the network search data record the netizens' tens of thousands of search concerns and needs to provide the necessary data base for the research of social and economic behavior. Search behaviors' anonymity just can meet the venereal-disease suspected patients' privacy need. This paper will use...
Time delay degrades the performances of Internet-based control systems or teleoperation system, and even causes instability of closed-loop systems. If the Round Trip Time-delay (RTT) is acquired exactly previously, it is helpful to improve the performance of Internet-based control systems. Therefore, analysis or prediction for Internet time delay has become a hot research problem. This paper proposes...
Billions of sensor (e.g., in mobile phones or tablet pcs) will be connected to a future Internet of Things (IoT), offering online access to the current state of the real world. A fundamental service in the IoT is search for places and objects with a certain state (e.g., empty parking spots or quiet restaurants). We address the underlying problem of efficient search for sensors reading a given current...
The influencing factors on the C2C online bids can be divided in product level and seller level in this paper. We explore the relations between the cross-level using the HLM. The results show that the price and description will respectively have a major impact on the CSS and the CSS between different sellers also have significant differences. The Feedback score and the Positive feedback of sellers...
Identifying status of business cycles is critical to governments and enterprises when building business strategies. Traditionally, economic variables, such as industrial production, stock price index, manufacturing sales, are selected to compose business cycle indicators, which altogether evaluate business cycle status. In general, the release of economic variables involves long data processes that...
On the basis of extant literatures, we built a conceptual model of the relationship between perceived quality, trust, extrinsic motivation, intrinsic motivation and usage in the virtual communities with real-name system, and proposed some hypotheses about them. To test the hypotheses, we designed a questionnaire, and collected data from the members who use virtual communities with real-name system...
It is no secret that the Internet world has now evolved rapidly. Different types of texts and multimedia have congested our network traffic. This situation causes much lagging in the current workplace or geographic area. One of the infrastructures that support and convey data is a proxy server. Proxy server needs efficiently to use historical data to give users best links and also to reduce the traffic...
The real data of the network traffic were analyzed to find out characteristic parameters for autonomic provisioning. An observed strong non-linearity (bursts) leads to heteroskedastic (time dependent conditional variance) model applications. The non-linear time series model and statistical method were applied. It was found that upper limit of burst variations could be quantitatively estimated with...
The growing demand for link bandwidth and node capacity is a frequent phenomenon in IP network backbones. Within this context, traffic prediction is essential for the network operator. Traffic prediction can be undertaken based on link traffic or on origin-destination (OD) traffic which presents better results. This work investigates a methodology for traffic prediction based on multidimensional OD...
In this paper, we have studied on network traffic self-similarity as a starting point, analyze and predict data of the real network traffic by Fractal Autoregressive Integrated Moving Average (FARIMA), and propose sliding FARIMA (SFARIMA) network traffic prediction model. The model keeps sliding the time sequence to compensate the time lag of FARIMA and reduce the fitting error, therefore, it matches...
Modelling traffic generated by Internet-based multiplayer computer games has attracted much attention in the past few years. This has been driven by a need to simulate correctly the network impact of highly interactive online game genres such as the first person shooter (FPS). Packet size distributions and autocovariance models are important elements in the creation of realistic traffic generators...
Research of self-similarity has been the focus of flow prediction due to the complexity of self-similar traffic, but the LRD (long range dependence) traffic has the disadvantages of the high modeling algorithm complexity and poor precision. Therefore we tried to propose a way that can make the LRD traffic change to SRD (short range dependence) which is more simple than LRD in the field of modeling...
Traffic measurements from communication networks have shown that network traffic is exhibiting self similar as well as long range dependence properties. In telecommunication networks, congestion events tend to persist, producing large delays and packet loss resulting in performance degradation. In order to guarantee quality of service to diverse Internet services, congestion prediction became a fundamental...
Many efforts are undertaken by people and companies to improve their popularity, growth, and power, the outcomes of which are all expressed as rankings (designated as target rankings). Are these rankings merely the results of its elements' own attributes? In the theory of social network analysis (SNA), the performance and power of actors are usually interpreted as relations and the relational structures...
Video represents a larger and larger portion of the traffic in Internet. H.264/AVC and the SVC extension have recently become some of the most widely accepted video coding standards. Consequently, adequate models for this traffic are very important for the performance evaluation of networks architectures and protocols. Particularly, the efficient generation of synthetic sample paths is fundamental,...
Control over the network is a popular approach to control complex and distributed systems. However, delays are induced by the network, leading to the degradation in control performance. To analyze the characteristics of these delays, experiments are conducted to collect and to analyze the round trip time (RTT) between Beijing and Hong Kong. These results are presented in this paper. Large surges with...
Traffic prediction constitutes a hot research topic of network metrology. Thus, tuning the prediction model parameters is very crucial to achieve accurate prediction. This work focuses on the design, the empirical evaluation and the analysis of the behavior of linear models for predicting the throughput of a single link. In this work, the autoregressive integrated moving average (ARIMA) model and...
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