The graph represents a network of 2,993 Twitter users whose recent tweets contained "neo4j", 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 1/16/2023 5:00:34 PM. The network was obtained from Twitter on Tuesday, 17 January 2023 at 06:35 UTC.
The tweets in the network were tweeted over the 1973-day, 2-hour, 59-minute period from Tuesday, 22 August 2017 at 21:34 UTC to Tuesday, 17 January 2023 at 00:34 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 : 2993
Unique Edges : 2702
Edges With Duplicates : 8697
Total Edges : 11399
Number of Edge Types : 9
Tweet : 1520
Replies to : 907
MentionsInReplyTo : 1883
Mentions : 2001
Retweet : 1903
MentionsInRetweet : 2941
Quote : 118
MentionsInQuote : 96
MentionsInQuoteReply : 30
Self-Loops : 2125
Reciprocated Vertex Pair Ratio : 0.0853806859644855
Reciprocated Edge Ratio : 0.157328552218736
Connected Components : 672
Single-Vertex Connected Components : 510
Maximum Vertices in a Connected Component : 2026
Maximum Edges in a Connected Component : 9755
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.616566
Graph Density : 0.000498266007493421
Modularity : 0.314193
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,993 Twitter users whose recent tweets contained "neo4j", 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 1/16/2023 5:00:34 PM. The network was obtained from Twitter on Tuesday, 17 January 2023 at 06:35 UTC.
The tweets in the network were tweeted over the 1973-day, 2-hour, 59-minute period from Tuesday, 22 August 2017 at 21:34 UTC to Tuesday, 17 January 2023 at 00:34 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 : 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:
[295] graph,database [289] #binancexec,#binancexec [179] graph,data [176] neo4j,graph [153] data,science [147] data,sets [139] neo4j,cyphers [138] #livetweet,neo4j [137] cyphers,bloodhound [137] bloodhound,data Top Word Pairs in Tweet in G1:
[117] #livetweet,neo4j [75] over,world [75] great,content [75] #nodes2022,great [75] speakers,over [74] content,speakers [74] graph,data [73] participating,#nodes2022 [73] world,#livetweet [72] nodes,2022 Top Word Pairs in Tweet in G2:
[77] graph,database [44] neo4j,graph [42] #memgraph,#graphdatabase [40] #memgraphdb,#database [36] graph,data [36] neo4j,cyphers [35] 260,neo4j [34] data,sets [34] cyphers,bloodhound [34] bloodhound,data Top Word Pairs in Tweet in G3:
[44] neo4j,#nodes2022 [38] graph,database [36] #neo4j,#nodes2022 [34] graph,data [29] data,science [26] full,stack [22] neo4j,graph [22] #nodes2022,#livetweet [20] looking,forward [19] mdavidallen,neo4j Top Word Pairs in Tweet in G4:
[12] oracledatabase,sqlserver [12] redisinc,neo4j [12] teradata,filemakertoday [12] mongodb,teradata [12] filemakertoday,redisinc [12] db2zlabnews,mysql [12] sqlserver,db2zlabnews [12] mysql,postgresql [12] postgresql,mongodb [11] mariadb,snowflakedb Top Word Pairs in Tweet in G5:
[5] #neo4j,#graphdatabase [3] excited,announce [3] ausbiztv,tickernewsco [3] #neo4j5,#neo4j [3] neo4j,workspace [3] graph,database [3] take,look [3] connected,data [2] agenda,region [2] answer,questions Top Word Pairs in Tweet in G6:
[71] data,sets [71] neo4j,cyphers [71] bloodhound,data [71] cyphers,bloodhound [66] 260,neo4j [56] terminal,application [56] application,contains [51] cypherhound,terminal [51] contains,260 [42] produce,actionable Top Word Pairs in Tweet in G7:
[32] upcoming,event [25] data,science [25] dataumbrella,upcoming [22] 9am,pt [19] graph,database [18] knowledge,graphs [18] using,nlp [17] starting,year [17] year,strong [17] analyze,website Top Word Pairs in Tweet in G8:
[60] neo4j,rc [31] yoroi,graphql [31] backend,neo4j [31] graphql,migration [31] migration,backend [30] pedromtcosta,emurgo [30] released,pedromtcosta [26] graph,database [21] #cardano,ada [21] emurgo,#cardano Top Word Pairs in Tweet in G9:
[289] #binancexec,#binancexec [26] neo4j,wardcunningham [26] daschners,chaitra_latha [26] mkheck,wheresrhys [26] nachristakis,mkheck [26] wheresrhys,daschners [26] dagmarwaltemath,ashleighnfaith [26] wardcunningham,emileifrem [26] chaitra_latha,dgg32 [26] dgg32,dagmarwaltemath Top Word Pairs in Tweet in G10:
[44] neo4j,hiring [41] #tech,#softwareengineer [41] #softwareengineer,#jobs [22] london,uk [19] #remote,#wfh [18] engineer,#remote [17] software,engineer [17] #api,#tech [14] support,engineer [14] engineer,london Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
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: