The graph represents a network of 959 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, 15 September 2020 at 05:19 UTC.
The requested start date was Tuesday, 15 September 2020 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, 17-hour, 5-minute period from Tuesday, 01 September 2020 at 00:11 UTC to Monday, 14 September 2020 at 17:16 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 : 959
Unique Edges : 978
Edges With Duplicates : 2292
Total Edges : 3270
Number of Edge Types : 5
Retweet : 751
MentionsInRetweet : 1289
Replies to : 127
Mentions : 754
Tweet : 349
Self-Loops : 354
Reciprocated Vertex Pair Ratio : 0.061617458279846
Reciprocated Edge Ratio : 0.116082224909311
Connected Components : 132
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 752
Maximum Edges in a Connected Component : 3019
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.864899
Graph Density : 0.00180032697595138
Modularity : 0.364729
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 959 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, 15 September 2020 at 05:19 UTC.
The requested start date was Tuesday, 15 September 2020 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, 17-hour, 5-minute period from Tuesday, 01 September 2020 at 00:11 UTC to Monday, 14 September 2020 at 17:16 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:
[79] graph,databases [73] try,something [73] something,today [66] neo4j,try [64] graph,database [60] today,explore [51] using,neo4j [51] data,set [50] step,step [49] easy,started Top Word Pairs in Tweet in G1:
[70] try,something [70] something,today [62] neo4j,try [58] today,explore [55] graph,databases [48] data,set [47] easy,started [47] started,friendly [47] friendly,step [47] step,step Top Word Pairs in Tweet in G2:
[23] hands,graph [23] graph,analytics [17] st3llasia,published [17] team,graph_aware [16] rvanbruggen,wrote [16] wrote,book [16] book,aimed [16] aimed,folks [16] folks,neo4j [16] neo4j,yourself Top Word Pairs in Tweet in G3:
[11] fmfrancoise,neo4j [8] aura,google [8] google,cloud [8] cloud,platform [7] neo4j,craigmullins [7] kirkdborne,st3llasia [7] neo4j,rails [7] rails,graphenedb [6] neo4j,aura [6] chidambara09,fmfrancoise Top Word Pairs in Tweet in G4:
[7] cockroach,labs [7] labs,neo4j [7] neo4j,snowflake [7] snowflake,talk [7] talk,infrastructure [7] infrastructure,future [6] graph,database [6] nebula,graph [5] using,neo4j [5] data,neo4j Top Word Pairs in Tweet in G5:
[5] featuring,speakers [5] njit,northropgrumman [5] neo4j,adamcowley [4] neo4j,connections [4] connections,graphs [4] graphs,government [4] government,featuring [4] speakers,njit [4] northropgrumman,turkucitydata [4] turkucitydata,register Top Word Pairs in Tweet in G6:
[10] neo4j,stauffermatt [8] happy,6bn [8] 6bn,epoch [8] epoch,seconds [8] seconds,day [8] day,#neo4j [8] #neo4j,merge [8] merge,today [8] today,set [8] set,name Top Word Pairs in Tweet in G7:
[16] data,science [15] next,event [15] event,lessons [15] lessons,years [15] years,data [15] science,leggomymeggo4 [15] leggomymeggo4,tue [15] tue,15 [15] 15,2020 [15] 2020,3pm Top Word Pairs in Tweet in G8:
[8] barrasadv,markhneedham [8] knowledge,graph [8] graph,using [6] neo4j,barrasadv [5] neo4j,week's [5] week's,#twin4j [5] very,interesting [5] interesting,webinar [5] webinar,building [5] building,knowledge Top Word Pairs in Tweet in G9:
[9] quarkus,service [9] service,meshes [9] meshes,kubernetes [9] kubernetes,microprofile [9] microprofile,neo4j [9] neo4j,openj9 [9] openj9,asciidoc [9] asciidoc,ibm [9] ibm,cloud [8] adambien,quarkus Top Word Pairs in Tweet in G10:
[5] spencer,kimball [4] saastr,home [4] ceo,spencer [4] neo4j,emileifrem [4] future,data [4] data,infrastructure [3] cockroach,labs [3] talk,infrastructure [3] infrastructure,future [3] future,informationweek Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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 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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: