The graph represents a network of 978 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, 04 August 2020 at 05:21 UTC.
The requested start date was Tuesday, 04 August 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, 4-hour, 0-minute period from Tuesday, 21 July 2020 at 01:17 UTC to Monday, 03 August 2020 at 05:17 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 : 978
Unique Edges : 817
Edges With Duplicates : 2315
Total Edges : 3132
Number of Edge Types : 5
Retweet : 844
MentionsInRetweet : 1258
Tweet : 281
Mentions : 630
Replies to : 119
Self-Loops : 286
Reciprocated Vertex Pair Ratio : 0.0536820371644873
Reciprocated Edge Ratio : 0.101894186806009
Connected Components : 113
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 732
Maximum Edges in a Connected Component : 2737
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.16425
Graph Density : 0.00160229239795459
Modularity : 0.373535
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 978 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, 04 August 2020 at 05:21 UTC.
The requested start date was Tuesday, 04 August 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, 4-hour, 0-minute period from Tuesday, 21 July 2020 at 01:17 UTC to Monday, 03 August 2020 at 05:17 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:
[73] graph,databases [67] tagged,bloodhound [67] bloodhound,fixes [67] fixes,bugs [67] bugs,adds [67] adds,support [67] support,neo4j [67] neo4j,grab [66] cptjesus,tagged [65] #datascience,#ai Top Word Pairs in Tweet in G1:
[51] try,something [51] something,today [44] graph,databases [44] neo4j,try [40] certified,neo4j [40] neo4j,certified [39] neo4j,today [39] today,show [39] show,expertise [39] expertise,graph Top Word Pairs in Tweet in G2:
[22] #graphconnect,talk [20] ways,excel [20] excel,female [20] female,data [20] data,scientist [14] tips,tricks [14] #datascience,#datascientist [13] data,science [13] #neo4jbloom,tips [13] tricks,domain Top Word Pairs in Tweet in G3:
[14] graph,algorithms [8] o'reilly,graph [7] free,download [7] download,o'reilly [7] algorithms,book [7] use,graph [7] apache,spark [7] spark,neo4j [6] book,includes [6] includes,hands Top Word Pairs in Tweet in G4:
[67] tagged,bloodhound [67] bloodhound,fixes [67] fixes,bugs [67] bugs,adds [67] adds,support [67] support,neo4j [67] neo4j,grab [66] cptjesus,tagged Top Word Pairs in Tweet in G5:
[17] neo4j,database [12] #100daysofcode,#emplugproject [10] ibearua,#day8 [10] #day8,#100daysofcode [10] #emplugproject,building [10] building,loosely [10] loosely,coupled [10] coupled,applications [10] applications,requires [10] requires,tier Top Word Pairs in Tweet in G6:
[20] spring,data [19] data,neo4j [18] next,milestone [18] milestone,spring [18] spring,boot [18] boot,brings [18] brings,spring [18] neo4j,support [18] support,reactive [18] reactive,repositories Top Word Pairs in Tweet in G7:
[47] learn,#apachespark [47] #apachespark,quick [47] quick,10 [47] 10,minute [47] minute,tutorials [47] tutorials,#abdsc [47] #abdsc,#bigdata [47] #bigdata,#datascience [47] #datascience,#ai [45] kirkdborne,learn Top Word Pairs in Tweet in G8:
[6] neo4j,fdw [6] fdw,released [6] released,logisima [5] graphileon,less [5] less,10 [5] 10,minutes [5] minutes,#yourappisagraph [5] #yourappisagraph,#javascript [5] #javascript,nodejs [5] nodejs,yworks Top Word Pairs in Tweet in G9:
[3] redislabs,neo4j [2] #ff,#database [2] #database,oracledatabase [2] oracledatabase,sqlserver [2] sqlserver,db2zlabnews [2] db2zlabnews,mysql [2] mysql,postgresql [2] postgresql,mongodb [2] mongodb,teradata [2] teradata,filemakertoday Top Word Pairs in Tweet in G10:
[14] graph,powered [13] neo4j,graph [12] online,developer [10] graph,data [10] data,science [9] nodes,2020 [9] neo4j,week's [9] week's,#twin4j [9] machine,learning [8] developer,expo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: