The graph represents a network of 3,036 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 06:35 UTC.
The tweets in the network were tweeted over the 2477-day, 7-hour, 11-minute period from Tuesday, 26 April 2016 at 17:04 UTC to Tuesday, 07 February 2023 at 00:16 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 : 3036
Unique Edges : 2603
Edges With Duplicates : 8714
Total Edges : 11317
Number of Edge Types : 9
Replies to : 978
MentionsInReplyTo : 1833
Tweet : 1547
Mentions : 2029
Retweet : 1836
MentionsInRetweet : 2851
Quote : 120
MentionsInQuote : 95
MentionsInQuoteReply : 28
Self-Loops : 2154
Reciprocated Vertex Pair Ratio : 0.0865077414598181
Reciprocated Edge Ratio : 0.159239990952273
Connected Components : 676
Single-Vertex Connected Components : 494
Maximum Vertices in a Connected Component : 2006
Maximum Edges in a Connected Component : 9505
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.655167
Graph Density : 0.000479799788588557
Modularity : 0.319022
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,036 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 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 06:35 UTC.
The tweets in the network were tweeted over the 2477-day, 7-hour, 11-minute period from Tuesday, 26 April 2016 at 17:04 UTC to Tuesday, 07 February 2023 at 00:16 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:
[252] graph,database [209] neo4j,graph [189] graph,data [164] data,science [164] data,sets [154] neo4j,cyphers [152] cyphers,bloodhound [152] bloodhound,data [149] bloodhound,neo4j [146] 260,neo4j Top Word Pairs in Tweet in G1:
[125] #livetweet,neo4j [83] graph,data [79] great,content [78] over,world [78] content,speakers [78] #nodes2022,great [78] speakers,over [77] participating,#nodes2022 [76] world,#livetweet [62] data,science Top Word Pairs in Tweet in G2:
[74] neo4j,graph [55] graph,database [54] #database,#graphdatabase [44] #memgraphdb,#database [42] #memgraph,#memgraphdb [38] neo4j,cyphers [37] 260,neo4j [36] data,sets [36] cyphers,bloodhound [36] bloodhound,data Top Word Pairs in Tweet in G3:
[38] neo4j,#nodes2022 [38] data,science [38] graph,data [36] #neo4j,#nodes2022 [29] graph,database [25] neo4j,graph [24] advent,code [23] knowledge,graphs [23] #cypher,#neo4j [22] code,2022 Top Word Pairs in Tweet in G4:
[112] neo4j,produce [112] targeted,remediation [112] attack,paths [112] paths,targeted [112] produce,actionable [112] uses,sharphound [112] actionable,list [112] bloodhound,neo4j [112] sharphound,bloodhound [112] list,attack Top Word Pairs in Tweet in G5:
[13] oracledatabase,sqlserver [13] redisinc,neo4j [13] postgresql,neo4j [13] teradata,filemakertoday [13] mongodb,teradata [13] filemakertoday,redisinc [13] db2zlabnews,mysql [13] sqlserver,db2zlabnews [13] mysql,postgresql [13] postgresql,mongodb Top Word Pairs in Tweet in G6:
[5] free,book [5] #neo4j,#graphdatabase [4] connected,data [4] ausbiztv,tickernewsco [3] data,science [3] #nodos,#relaciones [3] #elpandacreador,barrasadv [3] neo4j,#neo4j [3] jimwebber,strategink [3] full,stack Top Word Pairs in Tweet in G7:
[66] neo4j,rc [33] yoroi,graphql [33] backend,neo4j [33] graphql,migration [33] migration,backend [31] pedromtcosta,emurgo [31] released,pedromtcosta [29] graph,database [23] #cardano,ada [23] emurgo,#cardano Top Word Pairs in Tweet in G8:
[15] graph,databases [13] #memgraph,#graphdatabase [11] #graphdatabase,#memgraphdb [11] graph,database [10] #neo4j,#memgraph [10] faster,neo4j [9] gvteam,eurazeo [9] memgraph,delivers [9] virginiemorgon,gvteam [9] consuming,one Top Word Pairs in Tweet in G9:
[11] neo4j,graphdb [10] availability,neo4j [10] announces,general [10] neo4j,announces [10] general,availability [8] #neo4j,course [8] dynamic,serverless [8] best,#neo4j [7] zero,hero [7] antony,prasad Top Word Pairs in Tweet in G10:
[25] antonima_org,neo4j [9] knowledge,graph [8] discovery,checked [8] graph,excited [8] csm,complexes [8] such,cool [8] see,csm [8] cool,discovery [8] basecamp_res's,knowledge [8] checked,basecamp_res's Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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: