The graph represents a network of 1,980 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 June 2021 at 05:20 UTC.
The requested start date was Tuesday, 29 June 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, 23-hour, 50-minute period from Tuesday, 15 June 2021 at 00:10 UTC to Tuesday, 29 June 2021 at 00:00 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 : 1980
Unique Edges : 1813
Edges With Duplicates : 4589
Total Edges : 6402
Number of Edge Types : 5
Retweet : 1622
MentionsInRetweet : 2272
Mentions : 1364
Tweet : 833
Replies to : 311
Self-Loops : 854
Reciprocated Vertex Pair Ratio : 0.0647100424328147
Reciprocated Edge Ratio : 0.121554300896712
Connected Components : 383
Single-Vertex Connected Components : 313
Maximum Vertices in a Connected Component : 1465
Maximum Edges in a Connected Component : 5732
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.421311
Graph Density : 0.000768421965996499
Modularity : 0.368241
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,980 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 June 2021 at 05:20 UTC.
The requested start date was Tuesday, 29 June 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, 23-hour, 50-minute period from Tuesday, 15 June 2021 at 00:10 UTC to Tuesday, 29 June 2021 at 00:00 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 : neo4j
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:
[358] neo4j,raises [286] graph,database [190] graph,based [188] based,data [185] data,analysis [181] 325m,graph [180] analysis,takes [178] try,something [178] something,today [177] takes,hold Top Word Pairs in Tweet in G1:
[164] try,something [164] something,today [154] neo4j,try [129] today,explore [104] data,set [85] easy,started [67] set,#graphdatabase [66] #graphdatabase,sandbox [66] sandbox,easy [65] explore,#panamapapers Top Word Pairs in Tweet in G2:
[148] neo4j,raises [108] graph,based [108] 325m,graph [107] based,data [107] data,analysis [107] analysis,takes [107] takes,hold [105] hold,enterprise [104] raises,neo [104] neo,325m Top Word Pairs in Tweet in G3:
[86] #neo4j,#nodes2021 [76] nodes,2021 [52] graph,database [51] neo4j,raises [48] tomorrow,nodes [45] 2021,deliver [45] deliver,important [45] important,keynote [45] keynote,done [45] done,ten Top Word Pairs in Tweet in G4:
[106] jaguar,land [106] graph,database [86] learn,jaguar [86] land,rover's [86] rover's,trials [86] trials,tribulations [86] tribulations,path [86] path,tigergraph [86] tigergraph,graph [86] database,scale Top Word Pairs in Tweet in G5:
[33] #datascience,#ai [32] #apachespark,basics [32] basics,10 [32] 10,minute [32] minute,tutorials [32] tutorials,#abdsc [32] #abdsc,#bigdata [32] #bigdata,#datascience [32] #ai,#machinelearning [31] kirkdborne,#apachespark Top Word Pairs in Tweet in G6:
[13] biggest,investment [13] history,biggest [13] biggest,social [13] social,network [13] network,graph [13] graph,stories [13] stories,neo4j [12] investment,database [12] database,history [10] asynchio,coss Top Word Pairs in Tweet in G7:
[35] data,science [31] graph,data [29] graph,embeddings [27] tutorial,cjlovesdata1 [27] cjlovesdata1,shows [27] shows,inject [27] inject,graph [27] embeddings,created [27] created,graph [27] science,gds Top Word Pairs in Tweet in G8:
[36] months,procrastination [36] procrastination,finally [36] finally,release [36] release,simple [36] simple,tool [36] tool,manage [35] _mrb0b,months [35] manage,mult Top Word Pairs in Tweet in G9:
[30] knowledge,graphs [30] graphs,create [30] create,knowledge [30] knowledge,context [30] context,relevant [30] relevant,information [30] information,thereby [30] thereby,helping [30] helping,companies [30] companies,make Top Word Pairs in Tweet in G10:
[7] neo4j,tokyo [6] tokyo,meetup [4] rios_opensource,agilelarus [4] next,week [4] week,present [4] present,neo4j [4] meetup,cto [4] cto,santand84 [4] santand84,global [4] global,expansion Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: