The graph represents a network of 407 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 Tuesday, 24 November 2020 at 14:32 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 13-day, 23-hour, 35-minute period from Tuesday, 10 November 2020 at 01:25 UTC to Tuesday, 24 November 2020 at 01:00 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 : 407
Unique Edges : 329
Edges With Duplicates : 635
Total Edges : 964
Number of Edge Types : 5
Retweet : 202
MentionsInRetweet : 351
Tweet : 155
Replies to : 43
Mentions : 213
Self-Loops : 156
Reciprocated Vertex Pair Ratio : 0.0386473429951691
Reciprocated Edge Ratio : 0.0744186046511628
Connected Components : 122
Single-Vertex Connected Components : 62
Maximum Vertices in a Connected Component : 101
Maximum Edges in a Connected Component : 433
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.509783
Graph Density : 0.00260224398155433
Modularity : 0.449016
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 407 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 Tuesday, 24 November 2020 at 14:32 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 13-day, 23-hour, 35-minute period from Tuesday, 10 November 2020 at 01:25 UTC to Tuesday, 24 November 2020 at 01:00 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:
[166] graph,database [105] nebula,graph [43] machine,learning [39] using,graph [36] exploring,100 [36] 100,index [36] index,stocks [36] stocks,using [36] graph,machine [36] learning,#nebulagraph Top Word Pairs in Tweet in G1:
[45] graph,database [8] database,schema [7] schema,interaction [7] interaction,graph [7] text,sql [6] use,cases [6] igsql,database [6] graph,based [6] based,neural [6] neural,model Top Word Pairs in Tweet in G2:
[24] graph,database [14] machine,learning [9] fan,dark [9] dark,netflix [9] netflix,series [9] series,graph [9] database,fun [9] fun,shyam [9] shyam,pratap [9] pratap,singh Top Word Pairs in Tweet in G3:
[24] opendata,nodexl [24] nodexl,openscitalk [24] openscitalk,eu_opendata [16] fmfrancoise,opendata [16] eu_opendata,nababaha [16] nababaha,kirkdborne [16] kirkdborne,opendataglobal [12] opendataglobal,dig_revolutio [8] eu_opendata,kirkdborne [8] kirkdborne,cq94 Top Word Pairs in Tweet in G4:
[6] graph,database [3] hanbzu,devonzuegel [3] devonzuegel,exactly [3] exactly,codexeditor [3] codexeditor,trying [3] trying,achieve [3] achieve,entire [3] entire,ecosystem [3] ecosystem,os [3] os,knowledge Top Word Pairs in Tweet in G5:
[16] graph,database [9] techtarget,ericavidon [8] taking,advantage [8] advantage,graph [8] database,growth [8] ericavidon,dhenschen [8] entity,resolution [7] tigergraphdb,taking [7] growth,techtarget [5] learn,graph Top Word Pairs in Tweet in G6:
[3] great,learn [3] learn,dharamkapila [3] dharamkapila,roam [3] roam,portal [3] portal,chrome [3] chrome,extension [3] extension,present [3] present,highly [3] highly,searchable [3] searchable,interactive Top Word Pairs in Tweet in G7:
[9] graph,database [4] welcome,#knowcon2020 [4] #knowcon2020,gold [4] gold,sponsors [4] sponsors,flureepbc [4] flureepbc,whose [4] whose,semantic [4] semantic,graph [4] database,coupled [4] coupled,blockchain Top Word Pairs in Tweet in G8:
[92] nebula,graph [30] #software,#graphdatabase [27] #opensource,#software [25] exploring,100 [25] 100,index [25] index,stocks [25] stocks,using [25] using,graph [25] graph,machine [25] machine,learning Top Word Pairs in Tweet in G9:
[14] train,graph [14] graph,convolutional [14] convolutional,network [14] network,models [14] models,#bigdata [14] #bigdata,#analytics [14] #analytics,#datascience [14] #datascience,#ai [14] #ai,#machinelearning [14] #machinelearning,#iot Top Word Pairs in Tweet in G10:
[10] collection,benchmark [10] benchmark,data [10] data,sets [10] sets,knowledge [10] knowledge,graph [10] graph,based [10] based,similarity [10] similarity,biomedical [10] biomedical,domain [10] domain,carlota Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: