graphconnect, Twitter, 11/24/2020 3:47:26 AM, 242107


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graphconnect_2020-11-23_17-28-14.xlsx
graphconnect_2020-11-23_17-28-14.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 24, 2020
Short Description:
graphconnect via NodeXL https://bit.ly/35Wd56O
@neo4j
@rhetonik
@rosenchild
@apachezeppelin
@santand84
@kaynairv
@luannem
@graph_aware
@agilelarus
@pivotal

Top hashtags:
#graphconnect
#microservices
#neo4j
#cloudfoundry
#googlecloud
#kubernetes
#graphdatabase

Description:
Description
The graph represents a network of 15 Twitter users whose tweets in the requested range contained "graphconnect", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 24 November 2020 at 01:28 UTC.

The requested start date was Tuesday, 24 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 9-day, 11-hour, 54-minute period from Tuesday, 10 November 2020 at 15:09 UTC to Friday, 20 November 2020 at 03:03 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 15
Unique Edges : 18
Edges With Duplicates : 14
Total Edges : 32
Number of Edge Types : 5
Mentions : 10
Retweet : 6
MentionsInRetweet : 12
Replies to : 1
Tweet : 3
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0.157894736842105
Reciprocated Edge Ratio : 0.272727272727273
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 14
Maximum Edges in a Connected Component : 30
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.979695
Graph Density : 0.104761904761905
Modularity : 0.305664
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 15 Twitter users whose tweets in the requested range contained "graphconnect", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 24 November 2020 at 01:28 UTC.

The requested start date was Tuesday, 24 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 7,500.

The tweets in the network were tweeted over the 9-day, 11-hour, 54-minute period from Tuesday, 10 November 2020 at 15:09 UTC to Friday, 20 November 2020 at 03:03 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : graphconnect
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[2] https://www.google.com/imgres?imgurl=https%3A%2F%2Fdist.neo4j.com%2Fwp-content%2Fuploads%2F20170604001553%2Fhetionet-integrating-biology-public-neo4j-database-daniel-himmelstein-graphconnect.png&imgrefurl=https%3A%2F%2Fneo4j.com%2Fblog%2Fintegrating-biology-public-neo4j-database%2F&tbnid=rw0Rp0T8azGQZM&vet=12ahUKEwiJ-LT_4YDtAhUMB1MKHWWFCmkQMygEegQIARAy..i&docid=KAmoid59QjUdyM&w=728&h=532&q=neo-heterogeneous%20compute%20nodes%20integrating&ved=2ahUKEwiJ-LT_4YDtAhUMB1MKHWWFCmkQMygEegQIARAy
[2] https://neo4j.com/blog/integrating-biology-public-neo4j-database/
[1] https://neo4j.com/blog/neo4j-cloud-foundry/?ref=social-blog
[1] https://neo4j.com/blog/neo4j-data-projects-apache-zeppelin-nyc/?ref=social-blog
[1] https://neo4j.com/blog/fixing-microservices-architecture-graphconnect/?ref=social-blog
[1] https://www.google.com/search?q=neo-heterogeneous+compute+nodes+integrating&source=lmns&bih=673&biw=1455&hl=en&sa=X&ved=2ahUKEwiJ-LT_4YDtAhUMB1MKHWWFCmkQ_AUoAHoECAEQAA
[1] https://idp.springer.com/authorize?response_type=cookie&client_id=springerlink&redirect_uri=https%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs11704-014-3501-3
[1] https://en.wikipedia.org/wiki/Pleiades_(supercomputer)
[1] https://www.researchgate.net/figure/The-Whooley-Questions-The-Whooley-questions_fig1_51708558
[1] https://think-lab.github.io/doc/7/review/

Top URLs in Tweet in G3:
[1] https://neo4j.com/blog/neo4j-cloud-foundry/?ref=social-blog
[1] https://neo4j.com/blog/from-zero-to-the-connected-enterprise-in-45-minutes/?ref=social-blog
[1] https://neo4j.com/blog/fixing-microservices-architecture-graphconnect/?ref=social-blog
[1] https://neo4j.com/blog/neo4j-data-projects-apache-zeppelin-nyc/?ref=social-blog

Top URLs in Tweet in G4:
[2] https://www.google.com/imgres?imgurl=https%3A%2F%2Fdist.neo4j.com%2Fwp-content%2Fuploads%2F20170604001553%2Fhetionet-integrating-biology-public-neo4j-database-daniel-himmelstein-graphconnect.png&imgrefurl=https%3A%2F%2Fneo4j.com%2Fblog%2Fintegrating-biology-public-neo4j-database%2F&tbnid=rw0Rp0T8azGQZM&vet=12ahUKEwiJ-LT_4YDtAhUMB1MKHWWFCmkQMygEegQIARAy..i&docid=KAmoid59QjUdyM&w=728&h=532&q=neo-heterogeneous%20compute%20nodes%20integrating&ved=2ahUKEwiJ-LT_4YDtAhUMB1MKHWWFCmkQMygEegQIARAy
[2] https://neo4j.com/blog/integrating-biology-public-neo4j-database/
[1] https://www.google.com/search?q=neo-heterogeneous+compute+nodes+integrating&source=lmns&bih=673&biw=1455&hl=en&sa=X&ved=2ahUKEwiJ-LT_4YDtAhUMB1MKHWWFCmkQ_AUoAHoECAEQAA
[1] https://idp.springer.com/authorize?response_type=cookie&client_id=springerlink&redirect_uri=https%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs11704-014-3501-3
[1] https://en.wikipedia.org/wiki/Pleiades_(supercomputer)
[1] https://www.researchgate.net/figure/The-Whooley-Questions-The-Whooley-questions_fig1_51708558
[1] https://think-lab.github.io/doc/7/review/
[1] https://www.researchgate.net/profile/Gareth_Stratton
[1] https://www.researchgate.net/profile/Stuart_Fairclough

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[7] graphconnect
[4] microservices
[2] neo4j
[1] cloudfoundry
[1] googlecloud
[1] kubernetes
[1] graphdatabase
[1] impactanalysis
[1] graphanalytics
[1] dataintegration



Top Hashtags in Tweet in G1:
[3] graphconnect
[2] microservices

Top Hashtags in Tweet in G3:
[4] graphconnect
[2] neo4j
[2] microservices
[1] cloudfoundry
[1] googlecloud
[1] kubernetes
[1] dataintegration
[1] datacleansing
[1] impactanalysis
[1] graphanalytics

Top Words
Top Word Pairs
Top Replied-To
Top Replied-To in Entire Graph:
@luannem

Top Replied-To in G2:
@luannem

Top Mentioned
Top Mentioned in Entire Graph:
@neo4j
@apachezeppelin
@santand84
@nmervaillie
@pivotal
@agilelarus
@graph_aware
@akollegger
@peterneubauer
@emileifrem

Top Mentioned in G1:
@neo4j
@apachezeppelin
@santand84
@nmervaillie

Top Mentioned in G2:
@neo4j
@akollegger
@peterneubauer
@emileifrem

Top Mentioned in G3:
@pivotal
@nmervaillie
@graph_aware
@apachezeppelin
@santand84
@agilelarus
@neo4j

Top Tweeters
Top Tweeters in Entire Graph:
@rosenchild
@peaceful1979
@neo4j
@peterneubauer
@pivotal
@emileifrem
@luannem
@kaynairv
@santand84
@graph_aware

Top Tweeters in G1:
@rosenchild
@santand84
@agilelarus
@nmervaillie
@apachezeppelin

Top Tweeters in G2:
@peterneubauer
@emileifrem
@luannem
@akollegger
@rhetonik

Top Tweeters in G3:
@neo4j
@pivotal
@kaynairv
@graph_aware

Top Tweeters in G4:
@peaceful1979