The graph represents a network of 680 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, 23 February 2021 at 14:19 UTC.
The requested start date was Tuesday, 23 February 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, 23-hour, 14-minute period from Tuesday, 09 February 2021 at 01:15 UTC to Tuesday, 23 February 2021 at 00:30 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 : 680
Unique Edges : 497
Edges With Duplicates : 1007
Total Edges : 1504
Number of Edge Types : 5
Retweet : 418
MentionsInRetweet : 604
Mentions : 153
Tweet : 285
Replies to : 44
Self-Loops : 293
Reciprocated Vertex Pair Ratio : 0.0265210608424337
Reciprocated Edge Ratio : 0.0516717325227964
Connected Components : 247
Single-Vertex Connected Components : 167
Maximum Vertices in a Connected Component : 244
Maximum Edges in a Connected Component : 939
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.687365
Graph Density : 0.0014251061249242
Modularity : 0.45189
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 680 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, 23 February 2021 at 14:19 UTC.
The requested start date was Tuesday, 23 February 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, 23-hour, 14-minute period from Tuesday, 09 February 2021 at 01:15 UTC to Tuesday, 23 February 2021 at 00:30 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 [121] neo4j,using [101] 105m,series [99] raises,105m [93] enterprise,graph [92] using,#python [89] tigergraph,raises [82] series,enterprise [82] create,#graph [77] #graph,#database Top Word Pairs in Tweet in G1:
[135] graph,database [59] raises,105m [59] 105m,series [59] enterprise,graph [56] tigergraph,raises [55] series,enterprise [14] エンタープライズ,グラフ [14] グラフ,データベースのtigergraphが111 [14] データベースのtigergraphが111,3億円を調達 [10] database,analytics Top Word Pairs in Tweet in G2:
[66] neo4j,using [64] using,#python [56] #ai,#ml [55] create,#graph [55] #graph,#database [55] #datascience,#data [54] #tech,#business [54] #business,#startup [53] #database,neo4j [53] #python,#ai Top Word Pairs in Tweet in G3:
[33] graph,database [29] create,graph [29] database,neo4j [29] neo4j,using [29] using,python [18] python,data [18] data,cleaning [18] cleaning,graph [18] graph,population [17] pythonhub,create Top Word Pairs in Tweet in G4:
[30] graph,database [20] future,#data [20] #data,decentralized [20] decentralized,graph [20] database,#ai [20] #ai,#100daysofmlcode [20] #100daysofmlcode,#ml [20] #ml,#100daysofcode [18] slides,today's [18] today's,converged Top Word Pairs in Tweet in G5:
[28] graph,database [22] 105m,series [20] enterprise,graph [20] raises,105m [17] tigergraph,raises [17] series,enterprise [11] techcrunch,tigergraph [11] database,fredericl [6] entity,resolution [6] #bigdata,#analytics Top Word Pairs in Tweet in G6:
[27] origin,trail [27] trail,masterpiece [27] masterpiece,trac [27] trac,never [27] never,seen [27] seen,such [27] such,massive [27] massive,combination [27] combination,crypto [27] crypto,world Top Word Pairs in Tweet in G7:
[72] nebula,graph [20] graph,database [13] introduction,docs [13] docs,v2 [13] v2,nebula [13] graph,docs [13] docs,introduce [13] introduce,explain [13] explain,nebula [11] #software,#graphdatabase Top Word Pairs in Tweet in G8:
[17] graph,database [16] working,dgraphlabs [16] dgraphlabs,graph [16] database,recently [16] recently,pretty [16] pretty,awesome [16] awesome,native [16] native,#graphql [16] #graphql,orms [15] fireship_dev,working Top Word Pairs in Tweet in G9:
[14] market,cap [12] prq,uses [12] uses,push [12] push,based [12] based,services [12] services,time [12] time,actions [12] actions,prq [12] prq,market [12] cap,142m Top Word Pairs in Tweet in G10:
[9] graph,database [8] database,venturebeat [2] venturebeat,#bigdata [2] #bigdata,#database Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: