The graph represents a network of 542 Twitter users whose tweets in the requested range contained "graph database", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 April 2021 at 13:17 UTC.
The requested start date was Tuesday, 06 April 2021 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 13-day, 22-hour, 21-minute period from Tuesday, 23 March 2021 at 00:40 UTC to Monday, 05 April 2021 at 23:01 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
Vertices : 542
Unique Edges : 447
Edges With Duplicates : 705
Total Edges : 1152
Number of Edge Types : 5
Mentions : 235
Retweet : 251
MentionsInRetweet : 438
Tweet : 184
Replies to : 44
Self-Loops : 187
Reciprocated Vertex Pair Ratio : 0.0364583333333333
Reciprocated Edge Ratio : 0.0703517587939698
Connected Components : 136
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 225
Maximum Edges in a Connected Component : 702
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.695354
Graph Density : 0.00203600002728308
Modularity : 0.494522
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 542 Twitter users whose tweets in the requested range contained "graph database", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 April 2021 at 13:17 UTC.
The requested start date was Tuesday, 06 April 2021 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 13-day, 22-hour, 21-minute period from Tuesday, 23 March 2021 at 00:40 UTC to Monday, 05 April 2021 at 23:01 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 : graph database
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[235] graph,database [79] nebula,graph [51] amazon,neptune [43] neptune,graph [41] graphql,api [26] api,aws [26] aws,amazon [25] relational,database [24] building,graphql [22] premiere,today Top Word Pairs in Tweet in G1:
[24] graph,database [10] base,datos [9] relational,database [8] oracle,database [7] graph,databases [7] database,excelente [7] machine,learning [7] learning,blockchain [7] blockchain,graph [7] graph,spatial Top Word Pairs in Tweet in G2:
[2] proven,bs Top Word Pairs in Tweet in G3:
[38] graphql,api [37] graph,database [34] amazon,neptune [33] neptune,graph [26] api,aws [26] aws,amazon [22] premiere,today [22] today,building [22] building,graphql [22] database,appsync Top Word Pairs in Tweet in G4:
[31] graph,database [10] #getmoreinsights,#coolerdata [10] #coolerdata,#data [6] graph,gurus [6] best,graph [6] deep,face [6] face,recognition [6] recognition,neo4j [6] neo4j,graph [6] database,#machinelearning Top Word Pairs in Tweet in G5:
[11] kubernetesio,automation [9] amazing,news [9] news,thank [9] thank,graph [9] graph,foundation [9] foundation,graphgrants [9] graphgrants,60k [9] 60k,grant [9] grant,build [9] build,kubernetesio Top Word Pairs in Tweet in G6:
[71] nebula,graph [30] graph,database [17] database,nodexl [16] nodexl,neo4j [14] #nebulagraph,#opensource [14] #opensource,#software [13] salhaj,graph [13] neo4j,tigergraphdb [13] tigergraphdb,chidambara09 [13] chidambara09,richniemiec Top Word Pairs in Tweet in G7:
[16] graph,database [5] neo4j,graph [5] analyzing,#genomes [5] #genomes,#graph [5] #graph,#database [5] #database,sixing [5] sixing,huang [5] huang,neo4j [5] neo4j,gt [5] gt,labcflores Top Word Pairs in Tweet in G8:
[13] graph,database [11] database,neo4j [11] neo4j,instrumental [11] instrumental,knowledge [11] knowledge,discovery [11] discovery,biomedical [11] biomedical,research [11] research,dgg32 [11] dgg32,processed [11] processed,data Top Word Pairs in Tweet in G9:
[8] amazon,neptune [7] building,#graphql [7] #graphql,api [7] api,#aws [7] #aws,amazon [7] neptune,graph [7] graph,database [7] database,cdk [7] cdk,#awslambda [7] #awslambda,#amazonwebservices Top Word Pairs in Tweet in G10:
[2] future,graph [2] graph,database [2] database,vesoft [2] vesoft,unveils [2] unveils,nebula [2] nebula,graph [2] graph,ga [2] ga,69news [2] 69news,leonel_sandjong Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: