The graph represents a network of 2,911 Twitter users whose recent tweets contained "graph database", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 17:05 UTC.
The tweets in the network were tweeted over the 1520-day, 14-hour, 47-minute period from Sunday, 06 January 2019 at 09:28 UTC to Tuesday, 07 March 2023 at 00:15 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2911
Unique Edges : 1752
Edges With Duplicates : 7250
Total Edges : 9002
Number of Edge Types : 9
Retweet : 1653
MentionsInRetweet : 2225
Tweet : 2742
MentionsInReplyTo : 1001
Replies to : 712
Quote : 90
Mentions : 504
MentionsInQuoteReply : 16
MentionsInQuote : 59
Self-Loops : 3180
Reciprocated Vertex Pair Ratio : 0.0639686684073107
Reciprocated Edge Ratio : 0.120245398773006
Connected Components : 708
Single-Vertex Connected Components : 377
Maximum Vertices in a Connected Component : 746
Maximum Edges in a Connected Component : 4712
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.693622
Graph Density : 0.000384841949189058
Modularity : 0.371691
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,911 Twitter users whose recent tweets contained "graph database", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 17:05 UTC.
The tweets in the network were tweeted over the 1520-day, 14-hour, 47-minute period from Sunday, 06 January 2019 at 09:28 UTC to Tuesday, 07 March 2023 at 00:15 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1738] graph,database [860] #memgraph,#database [708] #memgraphdb,#database [656] #database,#graphdatabase [601] #database,#memgraphdb [600] #memgraphdb,#graphdatabase [549] #memgraph,graphdatabases [472] read,more [449] graphdatabases,read [449] interested,#memgraph Top Word Pairs in Tweet in G1:
[338] graph,database [42] neo4j,graph [35] high,fidelity [35] fidelity,graph [35] software,security [35] aggregates,software [34] metadata,high [34] security,metadata [33] data,management [30] bullshit,graph Top Word Pairs in Tweet in G2:
[242] graph,database [35] neo4j,graph [27] nebulagraph,database [25] delhi,ncr [23] database,#nebulagraph [23] open,source [23] database,nebulagraph [22] database,handle [20] powered,neo4j [19] need,graph Top Word Pairs in Tweet in G3:
[215] deaths,made [215] searched,co [215] authors,searched [215] anonymous,authors [215] database,sudden [215] sudden,deaths [214] made,graph [213] interesting,anonymous [213] snfujy2k72,database [213] co,snfujy2k72 Top Word Pairs in Tweet in G4:
[98] men,killed [96] cops,2019 [96] unarmed,black [96] many,liberals [96] killed,cops [96] black,men [95] 2019,many [95] think,value [95] graph,perceived [95] liberals,think Top Word Pairs in Tweet in G5:
[90] graph,database [83] first,decentralized [79] decentralized,graph [74] live,ceramic [74] composedb,beta [74] ceramic,mainnet [74] mainnet,composedb [74] world,first [74] beta,live [73] composedb,world Top Word Pairs in Tweet in G6:
[38] graph,database [8] introduction,graph [8] #rdfox,#neptune [8] #neptune,streams [8] #semanticreasoning,#rdfox [8] social,network [8] supercharge,#amazonneptune [8] #amazonneptune,database [8] #sqlserver,#sql [8] engine,pass Top Word Pairs in Tweet in G7:
[78] graph,database [55] surrealdb,scalable [55] distributed,collaborative [55] scalable,distributed [55] document,graph [55] collaborative,document [55] realtime,web [55] database,realtime [49] rusttrending,surrealdb [18] web,16529 Top Word Pairs in Tweet in G8:
[175] graph,database [150] apache,age [62] age,graph [48] database,functionality [44] database,extension [35] database,plugin [35] provides,graph [34] using,apache [34] check,latest [32] graph,data Top Word Pairs in Tweet in G9:
[58] graph,database [15] amazon,neptune [8] open,source [8] retention,graph [8] graph,databases [8] #aws,#database [8] danilop,amazon [7] neptune,announces [7] use,graph [7] neural,network Top Word Pairs in Tweet in G10:
[43] blacks,commit [43] whites,poorer [43] commit,order [43] more,murders [43] magnitude,more [43] order,magnitude [43] poorer,adolescents [43] murders,whites [42] steve_sailer,blacks [14] motor,vehicle Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: