The graph represents a network of 1,064 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 Thursday, 19 December 2019 at 01:30 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 46-minute period from Wednesday, 04 December 2019 at 01:18 UTC to Wednesday, 18 December 2019 at 00:05 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 : 1064
Unique Edges : 1792
Edges With Duplicates : 1287
Total Edges : 3079
Number of Edge Types : 3
Mentions : 2525
Tweet : 337
Replies to : 217
Self-Loops : 337
Reciprocated Vertex Pair Ratio : 0.0597652081109925
Reciprocated Edge Ratio : 0.112789526686808
Connected Components : 136
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 859
Maximum Edges in a Connected Component : 2782
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.127966
Graph Density : 0.00175591848860156
Modularity : 0.468728
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 1,064 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 Thursday, 19 December 2019 at 01:30 UTC.
The requested start date was Wednesday, 18 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 22-hour, 46-minute period from Wednesday, 04 December 2019 at 01:18 UTC to Wednesday, 18 December 2019 at 00:05 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:
[142] red,teaming [142] teaming,multi [142] multi,domain [142] domain,environment [142] environment,need [142] need,find [142] find,connections [142] connections,different [142] different,domain [142] domain,forest Top Word Pairs in Tweet in G1:
[29] #neo4j,#graphdatabase [28] week's,#twin4j [27] #graphconnect,talk [25] neo4j,graph [22] case,study [22] online,developer [22] developer,conference [22] conference,#nodes2019 [22] minute,interview [21] free,online Top Word Pairs in Tweet in G2:
[140] red,teaming [140] teaming,multi [140] multi,domain [140] domain,environment [140] environment,need [140] need,find [140] find,connections [140] connections,different [140] different,domain [140] domain,forest Top Word Pairs in Tweet in G3:
[88] neo4j,amyhodler [87] amyhodler,markhneedham [86] graph,algorithms [84] brilliant,book [84] book,graph [84] algorithms,practical [84] practical,examples [84] examples,#apachespark [84] #apachespark,neo4j [81] kirkdborne,brilliant Top Word Pairs in Tweet in G4:
[18] neo4j,cypher [18] match,statement [10] neo4j,#neo4jquestions [9] cypher,execute [9] execute,specific [9] specific,match [9] statement,return [9] return,results [9] results,depending [9] depending,result Top Word Pairs in Tweet in G5:
[21] euregjug,ijugev [21] ijugev,jug_da [21] jug_da,jug_ostfalen [21] jug_ostfalen,jug_stuttgart [21] jug_stuttgart,meistermeier [21] myfear,neo4j [21] springbootbuch,springdata [21] springdata,sippsack [20] meistermeier,muellermi [20] muellermi,myfear Top Word Pairs in Tweet in G6:
[10] mesirii,#yow19 [8] graph,database [8] mesirii,neo4j [7] special,focus [7] focus,research [7] research,position [7] position,#provenance [7] #provenance,methods [7] methods,#softwaredevelopment [7] #softwaredevelopment,processes Top Word Pairs in Tweet in G7:
[30] kicking,data [30] data,ride [30] ride,alongs [30] alongs,live [30] live,code [30] code,data [30] data,science [30] science,projects [30] projects,each [30] each,session Top Word Pairs in Tweet in G8:
[13] ebook,#neo4j [13] #neo4j,graph [13] graph,#algorithms [13] #algorithms,user [13] user,guide [13] guide,v3 [13] v3,#bigdata [13] #bigdata,#analytics [13] #analytics,#nosql [13] #nosql,#datascience Top Word Pairs in Tweet in G9:
[7] muddybootscode,neo4j [7] neo4j,docker [7] neo4j,core [6] managed,learn [6] learn,much [6] much,graphs [6] graphs,neo4j [6] neo4j,upset [6] upset,dealing [6] dealing,problems Top Word Pairs in Tweet in G10:
[3] console,writeline [2] writeline,best [2] graphql,database [2] craig,mullins [2] mullins,craigmullins [2] craigmullins,#ff [2] #ff,#database [2] #database,oracledatabase [2] oracledatabase,sqlserver [2] sqlserver,db2_support Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
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Top Tweeters in G10: