# Neo4j PageRank algorithm is not working
**URL:** https://community.neo4j.com/t/neo4j-pagerank-algorithm-is-not-working/1735
**Category:** Procedures & APOC
**Tags:** apoc
**Created:** [September 24, 2018, 4:50pm UTC](https://community.neo4j.com/t/neo4j-pagerank-algorithm-is-not-working/1735 "2018-09-24T16:50:09Z")
**Posts on this page:** 7
**Page:** 1
### Author:  [@babu\_ganesh0708](https://community.neo4j.com/u/babu_ganesh0708)
#### Post date: [September 24, 2018, 4:50pm UTC](https://community.neo4j.com/t/neo4j-pagerank-algorithm-is-not-working/1735/1 "2018-09-24T16:50:09Z")
Hi All,
I am trying to use **Pagerank algorithm** in order to determine the rough estimate of how important the software data is,
```auto
MATCH (s:Software)
WITH collect(s) AS n
CALL apoc.algo.pageRank(n) YIELD node, score
RETURN node.Displayname, score ORDER BY score DESC LIMIT 10
```
The above image shows the score value is **"0.0"** for top 10 records and not sure why the rank value is not getting calculated based on data and also I am getting warning message by saying "the query used a deprecated procedure **('apoc.algo.pageRank')** is no longer supported.
Please correct me If I am doing anything wrong in the query and kindly share the right documentation to use pagerank algorithm
Is it the right documentation to follow graph algorithm?
> **[PageRank - Neo4j Graph Data Science](https://neo4j.com/docs/graph-data-science/current/algorithms/page-rank/)**
>
> This section describes the PageRank algorithm in the Neo4j Graph Data Science library.
Note:- I am using neo4j 3.4.1 community version with apoc jar (3.4.0.3)
Thanks,
Ganeshbabu R
---
### Author:  [@mark.needham](https://community.neo4j.com/u/mark.needham)
#### Post date: [September 24, 2018, 5:46pm UTC](https://community.neo4j.com/t/neo4j-pagerank-algorithm-is-not-working/1735/2 "2018-09-24T17:46:11Z")
The documentation you're referring to is for the Graph Algorithms library so you want to use the procedures from that plugin - they all start with `algo.` rather than `apoc.`
In this case it'd be:
```auto
CALL algo.pageRank.stream("Subject", null) YIELD nodeId, score
RETURN algo.getNodeById(nodeId), score
ORDER BY score DESC
LIMIT 10
```
---
### Author:  [@babu\_ganesh0708](https://community.neo4j.com/u/babu_ganesh0708)
#### Post date: [September 24, 2018, 6:20pm UTC](https://community.neo4j.com/t/neo4j-pagerank-algorithm-is-not-working/1735/3 "2018-09-24T18:20:48Z")
> [@mark.needham](#):
>
> The documentation you're referring to is for the Graph Algorithms library so you want to use the procedures from that plugin - they all start with `algo.` rather than `apoc.`
I tried executing the below command,
```auto
CALL algo.pageRank.stream('Software','installed', {iterations:20, dampingFactor:0.85, concurrency:4}) YIELD node, score
RETURN algo.getNodeById(node), score
ORDER BY score DESC
LIMIT 10
```
but I am getting the error as
Do I need to use the latest jar or should I need to make any changes in neo4j configuration file?
Please let me know your thoughts.
Regards,
Ganeshbabu R
---
### Author:  [@michael.hunger](https://community.neo4j.com/u/michael.hunger)
#### Post date: [September 24, 2018, 6:38pm UTC](https://community.neo4j.com/t/neo4j-pagerank-algorithm-is-not-working/1735/4 "2018-09-24T18:38:04Z")
You have to install the graph algorithms library, e.g. in Neo4j Desktop.
---
### Author:  [@babu\_ganesh0708](https://community.neo4j.com/u/babu_ganesh0708)
#### Post date: [September 24, 2018, 6:49pm UTC](https://community.neo4j.com/t/neo4j-pagerank-algorithm-is-not-working/1735/5 "2018-09-24T18:49:52Z")
> [@michael.hunger](#):
>
> You have to install the graph algorithms library, e.g. in Neo4j Desktop
Thanks got this [link](https://neo4j.com/developer/graph-algorithms/#_installation) and followed the step to install graph algorithm library outside of neo4j desktop and now its worked fine.
Regards,
Ganeshbabu R
---
### Author:  [@babu\_ganesh0708](https://community.neo4j.com/u/babu_ganesh0708)
#### Post date: [September 26, 2018, 8:08am UTC](https://community.neo4j.com/t/neo4j-pagerank-algorithm-is-not-working/1735/6 "2018-09-26T08:08:36Z")
@michael.hunger/@mark.needham
As I am starting learning neo4j and I am trying to build graph using my asset data. Data which has both software and hardware informations and below is the sample json data,
```auto
{
"DisplayName": "Google Chrome",
"DisplayVersion": " 67.0.3396.99",
"Publisher": " Google Inc.",
"InstallDate": "20160629",
"EstimatedSize": "",
"HostName": "LTP-1001",
"Manufacturer": "Dell Inc.",
"Model": "Vostro 3458",
"CPU": "Intel(R) Core(TM) i3-4005U CPU @ 1.70GHz",
"RAM": "3 GB",
"IPAddress": "10.101.52.199 fe80::1040:f590:6d5:4346",
"HDDCapacity": "465.66",
"HDDSpace": "87.44 %",
"OperatingSystem": "Microsoft Windows 7 Professional ",
"ServicePack": "0",
"LastReboot": "20180801130720.109999+330"
}
```
**Note:- similarly the data has different softwares mapped to different hardware**
Below is the cypher query I used to create nodes,
```auto
CALL apoc.load.json("file:/home/test/AssetInfo.json") YIELD value AS data
WITH data WHERE data.DisplayName <> 'null' AND data.DisplayName <> ''
MERGE (s:Software {DisplayName: data.DisplayName})
MERGE (h:Hardware {HostName: data.HostName})
SET h.Manufacturer = data.Manufacturer
SET h.Model = data.Model
SET h.CPU = data.CPU
SET h.RAM = data.RAM
SET h.IPAddress = data.IPAddress
SET h.HDDCapacity = data.HDDCapacity
SET h.HDDSpace = data.HDDSpace
SET h.OperatingSystem = data.OperatingSystem
SET h.ServicePack = data.ServicePack
SET h.UserloggedIn = data.UserloggedIn
SET h.LastReboot = data.LastReboot
WITH s, h, data, COUNT(*) AS count
MERGE (s)-[i:installed]->(h) ON CREATE SET i.DisplayVersion = data.DisplayVersion, i.Publisher = data.Publisher, i.InstallDate = data.InstallDate, i.EstimatedSize=data.EstimatedSize, i.count = count
RETURN s,h
```
Now I want to build the graph **which should show the most important software connected to the hardware device** and I am using pagerank graph algorithm to get the result but I am unable to get the right pagerank score.
Below is the pagerank query I executed and got the response and the score value is same for all the softwares name and **not able to understand how the score values get generated and correct me If am doing anything wrong in the setup.**
```auto
CALL algo.pageRank.stream('Software', 'installed', {iterations:20, dampingFactor:0.85})
YIELD nodeId, score
MATCH (node) WHERE id(node) = nodeId
RETURN node.DisplayName AS page,score
ORDER BY score DESC LIMIT 10
```
I am following this link to understand the importance of PageRank Algorithm,
[https://neo4j.com/docs/graph-algorithms/3.4/algorithms/page-rank/](https://neo4j.com/docs/graph-algorithms/3.4/algorithms/page-rank/)
I also tried using **cypher projection in pagerank** and below is the query and the response,
```auto
CALL algo.pageRank.stream(
'MATCH (s:Software)-[:installed]->(h:Hardware) RETURN id(s) as source, id(h) as target') YIELD node,score with node,score order by score desc limit 10
RETURN node.HostName,node.DisplayName, score
```
I am little confused again how the pagerank score is calculated in this case and please share your thoughts and help me to resolve this.
Regards,
Ganeshbabu R
---
### Author:  [@mark.needham](https://community.neo4j.com/u/mark.needham)
#### Post date: [September 28, 2018, 2:50pm UTC](https://community.neo4j.com/t/neo4j-pagerank-algorithm-is-not-working/1735/7 "2018-09-28T14:50:35Z")
Hi,
With this query:
```auto
CALL algo.pageRank.stream(
'MATCH (s:Software)-[:installed]->(h:Hardware) RETURN id(s) as source, id(h) as target') YIELD node,score with node,score order by score desc limit 10
RETURN node.HostName,node.DisplayName, score
```
As you haven't pass the config parameter `graph: "cypher"` it actually calculates PageRank across all nodes and labels. If you want to do that more explicitly you could do this:
```auto
CALL algo.pageRank.stream(null, null)
YIELD node,score
with node,score order by score desc limit 10
RETURN node.HostName,node.DisplayName, score
```
The reason you get scores of `0.15` when you pass in `Software` and `installed` is that there are no relationships between `Software` nodes and therefore the algorithms returns the initial PageRank assigned to each node (which is 0.15)