The graph represents a network of 876 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 Tuesday, 12 May 2020 at 05:20 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 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, 5-hour, 0-minute period from Tuesday, 28 April 2020 at 00:05 UTC to Monday, 11 May 2020 at 05:05 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 : 876
Unique Edges : 911
Edges With Duplicates : 2384
Total Edges : 3295
Number of Edge Types : 5
Replies to : 229
MentionsInRetweet : 1208
Mentions : 924
Retweet : 678
Tweet : 256
Self-Loops : 260
Reciprocated Vertex Pair Ratio : 0.0691085003455425
Reciprocated Edge Ratio : 0.129282482223659
Connected Components : 112
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 701
Maximum Edges in a Connected Component : 3111
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.363186
Graph Density : 0.00201826484018265
Modularity : 0.334372
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 876 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 Tuesday, 12 May 2020 at 05:20 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 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, 5-hour, 0-minute period from Tuesday, 28 April 2020 at 00:05 UTC to Monday, 11 May 2020 at 05:05 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:
[97] data,science [80] graph,database [71] graph,data [53] kevinvangundy,neo4j [51] mattcasters,kevinvangundy [46] apr,2020 [46] year,graph [46] #neo4j,#datascience [45] scientific,research [45] #bigdata,#analytics Top Word Pairs in Tweet in G1:
[36] data,science [25] graph,data [19] covid,19 [16] graph,algorithms [15] #graphconnect,talk [15] week's,#twin4j [14] #neo4j,#graphdatabase [13] graph,databases [13] #graphdatabase,#connecteddata [13] #gds,#graphdatascience Top Word Pairs in Tweet in G2:
[53] kevinvangundy,neo4j [51] mattcasters,kevinvangundy [26] codexeditor,mattcasters [25] zorngerhard,codexeditor [23] support,rdf [23] data,science [21] graph,data [18] graph,database [17] tech,talks [16] neo4j,bloom Top Word Pairs in Tweet in G3:
[13] graph,algorithms [12] ãƒ,ム[9] graph,data [8] data,science [7] use,graph [6] o'reilly,graph [6] examples,use [6] algorithms,apache [6] apache,spark [6] spark,neo4j Top Word Pairs in Tweet in G4:
[26] data,science [14] graph,data [9] neo4j,neo4j [8] graph,database [8] database,data [7] data,scientists [6] elegant,way [6] way,show [6] show,relationships [6] relationships,amongst Top Word Pairs in Tweet in G5:
[37] graphs,power [37] power,scientific [37] scientific,research [37] research,year [37] year,graph [37] graph,apr [37] apr,2020 [37] 2020,#bigdata [37] #bigdata,#analytics [37] #analytics,#nosql Top Word Pairs in Tweet in G6:
[32] #bioinformatician,wanting [32] wanting,learn [32] learn,concepts [32] concepts,graph [32] graph,database [32] application,integrating [31] ebitraining,#bioinformatician [20] database,itâ [20] itâ,application [19] integrating,strâ Top Word Pairs in Tweet in G7:
[8] glad,part [8] part,spring_io [8] spring_io,bridge [8] bridge,online [8] online,conference [8] conference,speaking [8] speaking,meistermeier [8] meistermeier,came [7] rotnroll666,glad [6] spring,data Top Word Pairs in Tweet in G8:
[3] mongodb,neo4j [3] neo4j,orientdb [3] cassandra,datastax [2] #ff,#database [2] #database,oracledatabase [2] oracledatabase,sqlserver [2] sqlserver,db2zlabnews [2] db2zlabnews,mysql [2] mysql,postgresql [2] postgresql,mongodb Top Word Pairs in Tweet in G9:
[19] movie,recommendations [19] recommendations,powered [19] powered,knowledge [19] knowledge,graphs [19] graphs,neo4j [12] tdatascience,movie [3] organizations,choose [3] choose,#graphdatabases [3] #graphdatabases,world [3] world,technical Top Word Pairs in Tweet in G10:
[4] k_cieslak,wiredsis [4] wiredsis,_cartermp [4] _cartermp,dynalist [4] dynalist,neo4j [3] stachudotnet,k_cieslak [3] jmj,danielpearson [3] danielpearson,roamresearch [2] roamresearch,neo4j [2] conaw,jmj Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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