How to analyze the status of website traffic
The role of statistical analysis of website visits can be summarized in the following aspects:
(1) grasp the effect of website promotion in a timely manner to reduce the blindness;
(2) analyze the effect of various means of website operation, to provide a basis for the development and revision of website operation strategy;
(3) through the website visit (3) Diagnose website operation through website access data analysis, including the analysis of the effect of various website promotion activities, website optimization diagnosis, etc.
(4) Understand the behavior of users accessing the website to provide support for better meeting the needs of users;
(5) Serve as a reference index for the evaluation of website operation effect.
Statistical Analysis Indicators
Website traffic (traffic) is usually referred to as the amount of visits to the site, is used to describe the number of users accessing a website and the number of web pages viewed by the user and other indicators, commonly used statistical indicators, including the number of independent users of the site, the number of total users (including repeat visitors), the number of web pages viewed, the number of pages viewed by each user, The average time a user spends on a website.
The basis of statistical analysis of website visits is to obtain basic data on website traffic. According to the related article of Online Marketing New Observations, the statistical indicators of website traffic can be roughly divided into three categories, each of which contains a number of quantitative statistical indicators.
(1) Website Traffic Indicators
Website traffic statistics are often used to evaluate the effectiveness of a website, and the main indicators include:
The number of unique visitors;
The number of repeat visitors;
The number of pageviews;
The number of pageviews;
The number of visitors to the website;
The number of pageviews;
The number of pageviews. pageviews);
PageViewsperuser;
Some specific file/page statistics, such as the number of times a page is displayed, the number of times a file is downloaded, etc.
(2) User Behavioral Indicators
User behavioral indicators mainly reflect how the user came to the site, how long they stayed on the site, visited those pages, etc., and the main statistical indicators include:
The user’s stay time on the site;
User’s source site (also called “guide site “
The search engine used by the user and its keywords;
The number of user visits at different times of the day, etc.
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The search engine used by the user and its keywords.
(3) The way users browse the website time device, browser name and version, operating system
The way users browse the website related statistical indicators mainly include:
The type of user’s Internet access device;
The name and version of the user’s browser;
The display mode of the visitor’s computer resolution;
The name and version of the operating system used by the user;
The number of user visits at different times. name and version of the operating system used by the user;
distribution of the user’s geographic area, etc.
PHPStat’s website access analysis report is based on the above basic indicators of website traffic, with reference to other third-party statistics, in order to obtain a more in-depth statistical analysis report of website access.
How to analyze the real flow of a website
One: check each other’s ALEXA rankings, China website rankings
Although many individual webmasters or Internet company bosses now mouth hypocritical that do not value ALEXA, but there is no 3rd party more authoritative ranking premise, ALEXA is still on the website traffic estimation of a good choice. Once on the Internet to see this sentence, ALEXA ranking high, does not mean that the traffic is high. But ALEXA ranking is low, the traffic will certainly not be too big. At the same time, look at chinarank’s Chinese website ranking, and can be compared with the ALEXA ranking. If the gap between the two rankings is not large, the authenticity of the traffic is a little higher.
Two: Compare website traffic through Google Trends
This is something I started using last year, and found it to be more accurate than ALEXA. Because I don’t know how Google is going to count, and it is not easy to be cheated. This function of Google is not to tell everyone how much traffic and ranking of so-and-so website. Instead, it compares the high and low traffic between multiple sites in the form of a graph. I have taken more than one I know the approximate traffic of the site has been compared, and found quite reliable. For example, you want to understand the cooperation of the site traffic situation, take each other’s website and a website you are more familiar with the traffic trend comparison, so that the comparison out of the situation, you will be able to roughly predict the flow of the other site.
1. google trend chart
Many people actually do not quite understand why to use google trend instead of using alexa, after all, alexa more famous. The problem is that alexa is now a reference for all parties to determine the flow of websites and other aspects of the situation, which leads to a lot of large Internet sites and even individual webmasters are doing everything possible to brush the alexa rankings, which leads to the alexa in fact a large degree of interference received by the human being, the google trends in the industry has been relatively low-profile, did not do much to publicize the degree of interference by the human being, therefore, greatly reducing the degree of interference. greatly reduced. We might as well look at the next set of screenshots
How to query current network usage
How to query current network usage?
How to query the current network use of traffic?
With the rapid development of the Internet, our network usage is increasing. In order to better manage our network usage, we need to query the current network usage traffic. Here are some simple and practical methods for your reference.
1. Use network traffic monitoring software
Network traffic monitoring software can monitor all network connections and traffic usage. These software can help us easily check the current traffic used by the network. Commonly used software includes NetWorx, NetBalancer, and GlassWire, which all provide detailed traffic statistics and help us see how much traffic each application is using.
2. Use the system’s own network tools
Most operating systems provide their own network tools to help users query the current network usage. On Windows, you can use the Network tab of the Task Manager to see how each application is using the network. On MacOSX, we can use the Activity Monitor to check the current network traffic.
3. Use cell phone traffic monitoring software
For cell phone users, we can use cell phone traffic monitoring software to monitor current network traffic. These software can help us to understand the traffic usage of each application of our cell phone and can remind us of the traffic usage in time to avoid exceeding the package limit.
While checking the current network traffic may seem simple, it is essential for us to better manage our network usage. Through the above methods, we can keep track of our network usage and improve the efficiency of network usage.
Notes on Statistical Analysis of Network Data||Network Streaming Data Analysis
Previously Reviewed:
Minimalist Tutorial on Gephi Network Diagrams
Applications of Network to Single-Cell Transcriptome Data Analysis
Notes on Statistical Analysis of Network Data||Why Study Networks
Notes on Statistical Analysis of Network Data ||Manipulating Network Data
Statistical Analysis of Network Data Notes||Visualizing Network Data
Statistical Analysis of Network Data Notes||Descriptive Analysis of Network Data
Statistical Analysis of Network Data Notes ||Mathematical Models for Network Graphs
Statistical Analysis of Network Data Notes ||Statistical Models for Network Graphs
Network Data Statistical Analysis Notes||Inferring Network Topology
Network-flows (network-flows) is a problem-solving methodology analogous to water flow and is closely related to linear programming. The theory and application of network-flows are constantly evolving, and new topics such as flows with gains, multi-terminal flows, multi-commodity flows, and decomposition and synthesis of network-flows have emerged. The applications of network flow have spread to many fields such as communication, transportation, electric power, engineering planning, task assignment, equipment updating and computer-aided design.
Definitions related to NetworkFlow:
Source: there are n points with m directed edges, and there is one point that is special, only outgoing and not incoming, called the source.
Sink point: another point that is also special and only goes in and out is called a sink point.
Capacity and flow: each directed edge has two quantities, capacity and flow, the capacity from i to j is usually denoted by c[i,j], and the flow is usually f[i,j].
Often these edges can be visualized as roads, with the flow rate being the volume of traffic on this road, and the capacity being the maximum volume of traffic that the road can handle. Obviously, flow<=capacity. And for each point that is not a source or a sink, think of it analogously as a transfer station for goods that have no storage function, and all the traffic that “enters” them is equal to all the traffic that “goes out” of them.
Maximum flow: the source is compared to a factory, the problem is to find the maximum number of goods that can be sent from the factory, is not to exceed the capacity limit of the road, that is, the maximum flow. First recognize S (source) and T (sink) concept. S is often said to be the source, T is the sink (that is, the starting point and focus, this is the same concept with the shortest circuit). We have a map, the maximum flow from the source to the sink (there can be many ways to reach the sink), is our maximum flow problem (maxflow).
The above can be viewed as feature selection
Having measurements of the flow on the network links, coupled with the knowledge of the way that the forces are distributed on the links between the origins and destinations, is sufficient for us to accurately predict the flow between the origins and destinations. This is called trafficmatrixestimation.
Traffic matrix is a two dimensional matrix with its neighboring matrix elements,tij determines the traffic procured from node i and exiting node j. The value of tij is also known as the traffic demand and each demand represents the number of data transfers between each pair of nodes of the network. In a network consisting of four nodes, each of which is a traffic source or a traffic aggregator, the traffic matrix contains 12 demands (Fig. 5a). When nodes 1 and 2 represent traffic sources and nodes 3 and 4 represent traffic destinations, there are only 4 demands (Figure 5b).
Tomogravityalgorithm
Tomogravityalgorithm
The modeling and analysis of computer communication networks raises a variety of interesting statistical issues. This paper discusses the tomog-raphy problem for networks. tomog-raphy is used to characterize two classes of high-capacity inverse problems. The first deals with passive tomography, i.e., the collection of aggregated data at the level of individual routers/nodes with the goal of recovering p-level information. The main problem here is to estimate the origin-destination transformation matrix. The second approach is active laminar imaging, which utilizes the method of reconstructing link-level information fr data analysis
https://blog.csdn.net/BigFatSheep/article/details/78771897
https://blog.csdn .net/dengtiaolu0407/article/details/102199361?utm_medium=distribute.pc_relevant_t0.none-task-blog-BlogCommendFromMachineLearnPai2- 1.channel_param&depth_1-utm_source=distribute.pc_relevant_t0.none-task-blog-BlogCommendFromMachineLearnPai2-1.channel_param
https://www.cnblogs.com/FibonacciHeap/articles/9691400.html
Regional Logistics Demand Forecasting Study Based on Gravity Modeling
https://sites.cs.ucsb.e/~suri/cs231/ Flows.pdf
http://www.cs.cmu.e/~ckingsf/bioinfo-lectures/y2h.pdf
https://www.noction.com/knowledge-base/network- capacity-planning
Trafficmatrixestimation:Aneuralnetworkapproachwithextendedinputandexpectationmaximizationiteration
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https://rdrr.io/cran/networkTomography/
https://arxiv.org/pdf/0708.0945.pdf
Chapter 7 traffic monitoring and analysis tools commonly used network traffic monitoring methods are several? What are they
The so-called network traffic analysis refers to the real-time monitoring of the distribution of traffic in each layer of the seven-layer structure of the user’s network through certain technical means, and the comprehensive analysis of protocols and traffic, so as to effectively find and prevent bottlenecks in network traffic and applications, and provide a basis for optimizing network performance. Traffic analysis helps managers to understand which user in the network is downloading or uploading a large amount of data, determine which user in the network is occupying a large amount of bandwidth, and which user is causing the network to slow down. Through traffic analysis management, network administrators can master the network load condition, discover the unreasonable network structure or network performance bottleneck in time, and provide users with high-quality network services according to the applications and different business usage in the network, avoiding the network bandwidth and server bottleneck problems. Through traffic analysis and management, network administrators can quickly grasp the real-time status of network traffic, network applications and different services in different time periods of the use of the situation, a quick display of a certain period of time within the traffic profile, to help managers analyze the busy and idle time of network traffic. At present, there are many network traffic analysis software on the market, but the way of implementation is roughly divided into three categories, through the three network traffic analysis collection technology, to realize the analysis of network traffic. 2, Portmirroring (Portmirroring), also called port scanning or port monitoring function, is a function in many managed switches, which is used in a network switch to send all the It is used on a network switch to send a copy of all the packets viewed on one switch port to monitor the network connections on another switch port. That is to say, all the data of all the switch ports are copied to this port, and all the data are collected.3. Through protocols such as netflow or netstream. According to the demand and collection of technical characteristics of the three technologies mentioned above, each with its own advantages and disadvantages, which the network mixing mode, mainly used in a relatively small network, generally a small LAN used, such as Internet cafes, etc., through this technology to achieve more software, such as if the sniffer and so on. The disadvantage is also obvious, that is, the occupation of network bandwidth is relatively large. It is recommended to use in non-critical small networks. Another kind of realization through port mirroring, characterized by the switch to achieve, the disadvantage is also more obvious, that is, all the ports of the data should be a copy of the monitoring port, increasing the burden of the switch, more serious impact on the performance of the switch. Generally used in the company’s network on the exit switch, such as monitoring the company’s personnel in the Internet connection. The third through Cisco’s netflow protocol or Huawei’s netstream protocol, characterized by occupying the smallest network bandwidth, cut the collection of the most complete data, generally used in larger corporate networks, the principle is that the switch itself will pass the data count, without making a copy of the data. In this way, it greatly reduces the burden on the switch. There are also more software on the market, more important vendors such as Mocha Software. The following is an example of Mocha Software’s NTA software to illustrate the function of network traffic analysis. Mocha software network traffic analysis advantages Mocha software in the industry with ten years of IT operations and maintenance management experience, Mocha software in the country more than 23 large customers site has accumulated a deep application platform operations and maintenance management experience, which for network traffic monitoring advantages are: support for a variety of protocols: from Cisco’s netflow to Huawei’s netstream, to IPFIX, sflow, etc. are supported. The scope of application is relatively wide: from the macro monitoring of the entire network traffic, from Layer 2 to Layer 7, all the traffic situation. Support customized application monitoring: the software supports customized monitoring of network applications. Friendly user interface: Starting from the user interface, it is easier to read and understand and use.