The graph represents a network of 992 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, 21 July 2020 at 05:22 UTC.
The requested start date was Tuesday, 21 July 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, 4-hour, 10-minute period from Tuesday, 07 July 2020 at 01:00 UTC to Monday, 20 July 2020 at 05:11 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 : 992
Unique Edges : 943
Edges With Duplicates : 2695
Total Edges : 3638
Number of Edge Types : 5
Tweet : 291
Retweet : 936
MentionsInRetweet : 1545
Mentions : 733
Replies to : 133
Self-Loops : 300
Reciprocated Vertex Pair Ratio : 0.0515970515970516
Reciprocated Edge Ratio : 0.0981308411214953
Connected Components : 116
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 788
Maximum Edges in a Connected Component : 3424
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.994219
Graph Density : 0.00174147976953875
Modularity : 0.339084
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 992 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, 21 July 2020 at 05:22 UTC.
The requested start date was Tuesday, 21 July 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, 4-hour, 10-minute period from Tuesday, 07 July 2020 at 01:00 UTC to Monday, 20 July 2020 at 05:11 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:
[119] graph,database [102] graph,databases [90] #bigdata,#datascience [78] graph,powered [75] data,science [62] learn,#apachespark [62] #apachespark,quick [62] quick,10 [62] 10,minute [62] minute,tutorials Top Word Pairs in Tweet in G1:
[59] graph,databases [49] try,something [49] something,today [48] certified,neo4j [48] neo4j,today [48] today,show [48] show,expertise [48] expertise,graph [48] databases,employer [48] employer,potential Top Word Pairs in Tweet in G2:
[32] graph,database [23] graph,data [21] data,science [20] #graphdatascience,library [19] database,client [19] client,node [19] node,js [19] #nodejs,#typescript [17] introducing,#drivine [17] #drivine,graph Top Word Pairs in Tweet in G3:
[13] ãƒ,ム[6] graph,database [4] using,knowledge [4] knowledge,graphs [4] graphs,predict [4] predict,customer [4] customer,needs [4] needs,improve [4] improve,product [4] product,quality Top Word Pairs in Tweet in G4:
[12] graph,data [12] data,science [10] #neo4j,graph [9] science,library [9] meltwater,#sentimentanalysis [9] available,press [9] press,releases [9] graphql,api [9] api,spring [9] spring,boot Top Word Pairs in Tweet in G5:
[69] #bigdata,#datascience [52] learn,#apachespark [52] #apachespark,quick [52] quick,10 [52] 10,minute [52] minute,tutorials [52] tutorials,#abdsc [52] #abdsc,#bigdata [52] #datascience,#ai [51] kirkdborne,learn Top Word Pairs in Tweet in G6:
[15] popolo,spec [11] springdata,neo4j [10] formerly,known [9] known,sdn [8] before,popit [8] popit,showed [8] showed,1mdb [8] 1mdb,relations [8] relations,used [8] used,standard Top Word Pairs in Tweet in G7:
[47] graph,powered [39] machine,learning [36] powered,machine [22] software,engineer [17] graph,databases [15] dr,alessandronegro [15] role,software [15] engineer,secret [15] secret,clearance [15] clearance,austin Top Word Pairs in Tweet in G8:
[35] 4pm,pdt [35] pdt,7pm [35] 7pm,edt [34] edt,beginner [26] next,event [24] july,2020 [21] kdb,wall [21] wall,street's [21] street's,best [21] best,kept Top Word Pairs in Tweet in G9:
[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 [2] filemakertoday,redislabs Top Word Pairs in Tweet in G10:
[10] 2020,digital [10] digital,innovation [10] innovation,award [10] molecula,memsql [9] ventanaresearchâ,2020 [8] award,finalists [8] finalists,finalists [8] finalists,#data [8] #data,category [8] category,molecula Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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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:
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Top Tweeters in G5:
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Top Tweeters in G10: