PageRank | Python implementation of Larry 's famous PageRank algorithm | Crawler library

 by   ashkonf Python Version: Current License: Apache-2.0

kandi X-RAY | PageRank Summary

kandi X-RAY | PageRank Summary

PageRank is a Python library typically used in Automation, Crawler, Example Codes applications. PageRank has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A Python implementation of Google's famous PageRank algorithm.
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              PageRank has a low active ecosystem.
              It has 164 star(s) with 72 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 6 have been closed. On average issues are closed in 119 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of PageRank is current.

            kandi-Quality Quality

              PageRank has 0 bugs and 0 code smells.

            kandi-Security Security

              PageRank has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              PageRank code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              PageRank is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              PageRank releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              PageRank saves you 47 person hours of effort in developing the same functionality from scratch.
              It has 125 lines of code, 17 functions and 3 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed PageRank and discovered the below as its top functions. This is intended to give you an instant insight into PageRank implemented functionality, and help decide if they suit your requirements.
            • Applies TextRank to a text tank
            • Compute the TextRank for a document
            • Power iteration
            • Preprocess a document
            • Make a matrix with the given keys
            • Extracts nodes from a matrix
            • Ensures all rows are positive
            • Return the start probability of the given nodes
            • Integrate a random sample
            • Return only ASCII characters
            • Euclidean norm of a series
            • Normalize rows
            • Checks if a word is a punctuation
            • Return list of parts of words part of speech
            • Tokenize a sentence
            Get all kandi verified functions for this library.

            PageRank Key Features

            No Key Features are available at this moment for PageRank.

            PageRank Examples and Code Snippets

            No Code Snippets are available at this moment for PageRank.

            Community Discussions

            QUESTION

            Why is Neo4j not recognizing the degree centrality query?
            Asked 2021-Dec-01 at 17:42

            For some reason Neo4j is not recognizing degree centrality on a projection in GDS. I run this query:

            ...

            ANSWER

            Answered 2021-Dec-01 at 17:42

            What version of GDS do you have installed? The signature of the procedure might not match the documentation you are using. Run this query to check.

            Source https://stackoverflow.com/questions/70176452

            QUESTION

            In a networkx graph, how can I find nodes with no outgoing edges?
            Asked 2021-Nov-24 at 09:20

            I'm working on a project similar to a random walk, and I'm currently trying to find out if it's possible, and if so how, to find out if a node in the directed networkx graph is "dangling", that is if it has no edges edges to other nodes.

            ...

            ANSWER

            Answered 2021-Nov-24 at 09:20

            Leaves have an out-degree of zero, so:

            Source https://stackoverflow.com/questions/70085530

            QUESTION

            Error while working with Page rank problem.Mapreduce error
            Asked 2021-Oct-27 at 12:33

            I have been working on PageRank algorithm with help of Map Reduce jobs.

            I need to create Mapper and Reducer classes with the help of which I will be creating jar file.

            I am using jar file to work with Hadoop clusters.

            Currently my java files is PageRank.java

            ...

            ANSWER

            Answered 2021-Oct-27 at 12:33

            Here, you have permission denied error message;

            Source https://stackoverflow.com/questions/69695032

            QUESTION

            How much memory(MB) can the vector variable occupy in enclave of Intel sgx?
            Asked 2021-Oct-07 at 15:21

            I want to immigrate PageRank algorithm in the sgx enclave. The algorithm uses vector to save the edge relationship and matrix.

            ...

            ANSWER

            Answered 2021-Sep-21 at 12:06

            SGX CPUs (before Icelake) have a limited EPC, this is 128M for CPUs like Skylake, but you can also get 256M with Xeon E-2200. This does not mean that your application cannot use more memory, it simply means that the hardware-accelerated memory range is limited. Pages that don't fit into the EPC are swapped to non-EPC memory (at a considerable performance cost), however this is only implemented in the linux driver.

            So, you can set the enclave heap to something much larger like 2G. What you'll see is slower startup time (that 2G must be completely initialized), and if your compute's memory access pattern is scattered in that 2G range then you'll see extremely degraded performance. So try to keep your access patterns local, use sequential/scanning like operations etc, the usual considerations for cache-friendly compute.

            Regarding your actual issue, it could be that you're running out of the allocated heap, and that vector just happens to be the "last straw". Remember that the heap must contain not only these datastructures but also the code itself. If you're parsing the input from some serialized format then it could be that the serialized bytes are still retained in memory, if you have other state then that also uses memory, there can be many sources of extraneous usage. If you're using the Intel SDK then I'd recommend compiling in simulation mode, or just link your application into a non-SGX ELF and use usual memory debugging tools to track memory usage.

            Source https://stackoverflow.com/questions/69193300

            QUESTION

            How to calculate the PageRank and shortest path algorithm with gremlin in Amazon Neptune?
            Asked 2021-Aug-10 at 13:38

            Is there any way to calculate PageRank and Shortest Path algorithm with gremlin in Amazon Neptune? As it said in gremlin documentation PageRank centrality can be calculated with Gremlin with the pageRank()-step which is designed to work with GraphComputer (OLAP) based traversals.

            I have try to create a traversal with gremlinpython through this code: g = graph.traversal().withComputer().withRemote(remoteConn) but I got this error: GremlinServerError: 499: {"code":"UnsupportedOperationException","requestId":"4493df8b-b09f-47b1-b230-b83cfe1afa76","detailedMessage":"Graph does not support graph computer"}

            So is it possible to use GraphComputer traversal in Amazon Neptune?

            ...

            ANSWER

            Answered 2021-Aug-10 at 13:38

            Amazon Neptune does not currently support the Apache TinkerPop GraphComputer interface. You have a few options.

            1. In some cases it is possible to use the example queries in the Gremlin Recipes document to calculate connected components etc.
            2. Export the data using the Neptune Export tool and run the analysis you need to do using Spark (Glue and EMR are good options). This is quite commonly done today.
            3. For modest size datasets you can import the data into NetworkX and run the analysis all from a Jupyter Notebook.

            Source https://stackoverflow.com/questions/68724678

            QUESTION

            Neo4j poor order by query performance
            Asked 2021-May-10 at 13:01

            I have a complex cypher, When I don't use "order by" I get a pretty fast response but when I use "order by" it is incredibly slow. I have an b tree index on my order attribute(score of the movie which is PageRank algorithm score). I added the cypher.

            ...

            ANSWER

            Answered 2021-May-10 at 13:01

            You need to indicate to the planner that your m.score field is numeric, so pulls that from the index. I.e. where m.score > 0

            You should see it in your query plans.

            Your query looks also really convoluted, and generated. But actually not taking into account that always "false" expressions can just be left out from the query parts e.g. WHERE NOT [] = []

            Source https://stackoverflow.com/questions/67459833

            QUESTION

            How can I submit a Spark Graphx job example on Google Cloud Platform?
            Asked 2021-Feb-07 at 22:11

            I created a cluster on Google Cloud Platform having five linux based virtual machines (VM): one master and 4 workers. I ran ./start-master.sh on the master VM and ./start-worker.sh [external-master-IP:7077] on the worker VMs.

            Now I want to simply run a Graphx example job, for example a PageRank algorithm that is already in Spark, using ./bin/spark-submit.

            I know, I read the documentation, which says to run like this:

            ...

            ANSWER

            Answered 2021-Feb-07 at 22:11

            Yes, you need to add the jar in the spark-submit command :

            Source https://stackoverflow.com/questions/66093159

            QUESTION

            Why can't seaborn.pairplot finish drawing this plot?
            Asked 2021-Jan-31 at 12:18

            I have a dataframe central

            Then I want to plot the pairwise relationships between the columns with sns.pairplot(central). Could you please explain why the process just runs forever? I tried on both my laptop and Colab, but the problem persists.

            ...

            ANSWER

            Answered 2021-Jan-31 at 12:06

            For reasons unknown to me, the histplot for column eigen_central has a problem determining a reasonable number of bins. The pairplot works with kde plots in the diagonal sns.pairplot(central, diag_kind="kde"), and the histplot for column eigen_central alone also does not work as expected. You can overcome this problem by defining the bin number:

            Source https://stackoverflow.com/questions/65977652

            QUESTION

            how can i sort this array by age value?
            Asked 2020-Dec-09 at 08:46

            im studying right now and starting with reactjs and all that, i have to make a web page based in Game of thrones using an API, i recieve the api data and i can print in screen the img, name and age of the characters, but i need to sort them by their age.

            componentDidMount() {

            ...

            ANSWER

            Answered 2020-Dec-09 at 08:46

            Here you can find more information regarding sorting arrays in javascript.

            You can chain some Array operations like sort and filter, so the solution would be to first filter out the characters without an age, and then sort the result:

            Source https://stackoverflow.com/questions/65197502

            QUESTION

            Waiting for a function to complete before updating variables
            Asked 2020-Nov-14 at 15:12

            I'm still a beginner in programming. I was writing some code (C on Linux) to calculate the page rank of some example webpages. I'm using the google formula, which is here: http link

            Here is the code I wrote:

            ...

            ANSWER

            Answered 2020-Nov-14 at 15:12
            1. Allocate new variables

            2. Store the result to the new variables during calculation

            3. Store results to the original variables from the new variables after calculation

            Source https://stackoverflow.com/questions/64828804

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install PageRank

            There's not much to it - just include the pagerank.py file in your project, make sure you've installed the dependencies listed below, and use away!.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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