The graph represents a network of 841 Twitter users whose tweets in the requested range contained "graph database", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 02 March 2021 at 14:18 UTC.
The requested start date was Tuesday, 02 March 2021 at 01:01 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, 21-hour, 18-minute period from Tuesday, 16 February 2021 at 02:42 UTC to Tuesday, 02 March 2021 at 00:00 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 : 841
Unique Edges : 659
Edges With Duplicates : 1114
Total Edges : 1773
Number of Edge Types : 5
Tweet : 285
Replies to : 44
Retweet : 446
MentionsInRetweet : 766
Mentions : 232
Self-Loops : 289
Reciprocated Vertex Pair Ratio : 0.019845644983462
Reciprocated Edge Ratio : 0.0389189189189189
Connected Components : 245
Single-Vertex Connected Components : 160
Maximum Vertices in a Connected Component : 209
Maximum Edges in a Connected Component : 770
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.97164
Graph Density : 0.00130938225468547
Modularity : 0.535219
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 841 Twitter users whose tweets in the requested range contained "graph database", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 02 March 2021 at 14:18 UTC.
The requested start date was Tuesday, 02 March 2021 at 01:01 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, 21-hour, 18-minute period from Tuesday, 16 February 2021 at 02:42 UTC to Tuesday, 02 March 2021 at 00:00 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 : graph database
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:
[406] graph,database [103] 105m,series [101] raises,105m [95] enterprise,graph [91] graph,shows [90] tigergraph,raises [83] series,enterprise [59] nebula,graph [55] graph,databases [48] shows,792 Top Word Pairs in Tweet in G1:
[118] graph,database [61] raises,105m [61] 105m,series [61] enterprise,graph [58] tigergraph,raises [57] series,enterprise [15] エンタープライズ,グラフ [15] グラフ,データベースのtigergraphが111 [15] データベースのtigergraphが111,3億円を調達 [13] graph,databases Top Word Pairs in Tweet in G2:
[53] graph,database [33] nodexl,neo4j [19] database,nodexl [16] salhaj,graph [15] aura,enterprise [15] neo4j,nodexl [14] graph,databases [13] neo4j,aura [13] salhaj,neo4j [12] ipythonistabot,salhaj Top Word Pairs in Tweet in G3:
[48] graph,shows [48] shows,792 [48] 792,641 [48] 641,daily [48] daily,maximum [48] maximum,temperatures [48] temperatures,texas [48] texas,recorded [48] recorded,ushcn [48] ushcn,database Top Word Pairs in Tweet in G4:
[42] graph,shows [42] shows,rising [42] rising,use [42] use,#sedition [42] #sedition,conjuction [42] conjuction,laws [42] laws,during [42] during,#modi [42] #modi,lubhyathi_r [41] article14live,graph Top Word Pairs in Tweet in G5:
[30] graph,database [21] know,anyone [21] anyone,played [21] played,neo4j [21] neo4j,graph [21] database,implementations [21] implementations,salesforce [21] salesforce,data [21] data,interested [20] buritica,know Top Word Pairs in Tweet in G6:
[20] excited,announce [20] announce,tigergraphdb [20] tigergraphdb,event [20] event,sponsor [20] sponsor,tigergraph [20] tigergraph,word's [20] word's,fastest [20] fastest,scalable [20] scalable,graph [20] graph,platform Top Word Pairs in Tweet in G7:
[18] graph,database [9] day,13 [9] 13,#100daysofcode [9] #100daysofcode,learned [9] learned,amazon [9] amazon,documentdb [9] documentdb,graph [9] database,service [9] service,amazon [9] amazon,neptune Top Word Pairs in Tweet in G8:
[21] 105m,series [19] raises,105m [19] enterprise,graph [18] graph,database [17] tigergraph,raises [17] series,enterprise [11] techcrunch,tigergraph [11] database,fredericl [4] database,techcrunch [2] tigergraph,offers Top Word Pairs in Tweet in G9:
[17] create,graph [17] graph,database [17] database,neo4j [17] neo4j,using [17] using,python [17] python,data [17] data,cleaning [17] cleaning,graph [17] graph,population [16] pythonhub,create Top Word Pairs in Tweet in G10:
[17] graph,database [14] working,dgraphlabs [14] dgraphlabs,graph [14] database,recently [14] recently,pretty [14] pretty,awesome [14] awesome,native [14] native,#graphql [14] #graphql,orms [13] fireship_dev,working Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: