graphconnect, Twitter, 8/16/2022 12:53:54 AM, 280156


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graphconnect_2022-08-15_17-45-00.xlsx
graphconnect_2022-08-15_17-45-00.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 16, 2022
Short Description:
graphconnect via NodeXL https://bit.ly/3w8EJdj
@jadp
@neo4j
@maruthiprithivi
@iotpractitioner
@iotcommunity
@aaronholtn4j
@danielcfng
@dataaugmented
@fabriciosx
@meistermeier

Top hashtags:
#neo4j
#graphconnect
#graphdatabase
#graphdatascience
#sql
#datascience
#nodes

Description:
Description
The graph represents a network of 16 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, 16 August 2022 at 00:45 UTC.

The requested start date was Tuesday, 16 August 2022 at 00:01 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, 3-hour, 38-minute period from Wednesday, 03 August 2022 at 20:21 UTC to Saturday, 13 August 2022 at 00:00 UTC.

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 : 16
Unique Edges : 9
Edges With Duplicates : 17
Total Edges : 26
Number of Edge Types : 5
Tweet : 9
Mentions : 8
Retweet : 4
MentionsInRetweet : 4
Replies to : 1
Self-Loops : 9
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 4
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 9
Maximum Edges in a Connected Component : 17
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.673469
Graph Density : 0.05
Modularity : 0.43824
NodeXL Version : 1.0.1.503
Data Import : The graph represents a network of 16 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, 16 August 2022 at 00:45 UTC.

The requested start date was Tuesday, 16 August 2022 at 00:01 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, 3-hour, 38-minute period from Wednesday, 03 August 2022 at 20:21 UTC to Saturday, 13 August 2022 at 00:00 UTC.

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 Domains
Top Domains in Tweet in Entire Graph:
[2] okt.to
[1] neo4j.com
[1] linkedin.com

Top Domains in Tweet in G1:
[1] neo4j.com

Top Domains in Tweet in G2:
[2] okt.to

Top Domains in Tweet in G5:
[1] linkedin.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[11] neo4j
[11] graphconnect
[7] graphdatabase
[7] graphdatascience
[5] sql
[4] datascience
[2] nodes
[2] cypher
[2] database
[1] graph



Top Hashtags in Tweet in G1:
[1] graph
[1] iot
[1] digitaltwins
[1] sensoranalyticsecosystem
[1] sensae
[1] iotpl
[1] iotcl

Top Hashtags in Tweet in G2:
[10] neo4j
[10] graphconnect
[7] graphdatabase
[6] graphdatascience
[5] sql
[3] datascience
[2] nodes
[2] cypher
[2] database

Top Hashtags in Tweet in G3:
[1] neo4j
[1] datascience
[1] graphdatascience
[1] graphconnect

Top Hashtags in Tweet in G5:
[1] codelogic
[1] developers
[1] devops
[1] appdeveloper
[1] applicationdeveloper
[1] softwareengineer
[1] softwaredevelopment

Top Words
Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[7] emerging,graph
[7] graph,data
[7] data,science
[7] science,improves
[7] improves,data
[7] data,discovery
[7] discovery,pattern
[7] pattern,identification
[5] #graphdatabase,#sql
[5] #sql,#graphconnect

Top Word Pairs in Tweet in G2:
[5] #graphdatabase,#sql
[5] #sql,#graphconnect
[4] emerging,graph
[4] graph,data
[4] data,science
[4] science,improves
[4] improves,data
[4] data,discovery
[4] discovery,pattern
[4] pattern,identification

Top Word Pairs in Tweet in G3:
[3] emerging,graph
[3] graph,data
[3] data,science
[3] science,improves
[3] improves,data
[3] data,discovery
[3] discovery,pattern
[3] pattern,identification
[2] maruthiprithivi,emerging
[2] identification,predictiv

Top Word Pairs in Tweet in G5:
[2] see,impressive
[2] impressive,beard
[2] beard,more
[2] more,impressive
[2] impressive,presentation
[2] presentation,neo4j
[2] neo4j,graphconnect
[2] graphconnect,codelogic
[2] codelogic,principal
[2] principal,software

Top Replied-To
Top Replied-To in Entire Graph:
@taseroth

Top Replied-To in G4:
@taseroth

Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@fabriciosx
@dataaugmented
@pyscalellc
@jadp
@neo4j
@danielcfng
@iotchannel
@taseroth
@iotslam
@meistermeier

Top Tweeters in G1:
@jadp
@iotchannel
@iotslam
@iotcommunity
@iotpractitioner

Top Tweeters in G2:
@pyscalellc
@neo4j
@danielcfng
@aaronholtn4j

Top Tweeters in G3:
@fabriciosx
@dataaugmented
@maruthiprithivi

Top Tweeters in G4:
@taseroth
@meistermeier

Top Tweeters in G5:
@codelogicinc
@brandontylke