The graph represents a network of 3,162 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 06:34 UTC.
The tweets in the network were tweeted over the 2505-day, 7-hour, 49-minute period from Tuesday, 26 April 2016 at 17:04 UTC to Tuesday, 07 March 2023 at 00:54 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 : 3162
Unique Edges : 2559
Edges With Duplicates : 8948
Total Edges : 11507
Number of Edge Types : 9
Retweet : 1891
MentionsInRetweet : 2811
Replies to : 972
MentionsInReplyTo : 2019
Tweet : 1734
Mentions : 1837
Quote : 119
MentionsInQuoteReply : 22
MentionsInQuote : 102
Self-Loops : 2246
Reciprocated Vertex Pair Ratio : 0.0783030303030303
Reciprocated Edge Ratio : 0.14523381294964
Connected Components : 713
Single-Vertex Connected Components : 518
Maximum Vertices in a Connected Component : 2055
Maximum Edges in a Connected Component : 9557
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.887447
Graph Density : 0.000445018860275483
Modularity : 0.333167
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,162 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 06:34 UTC.
The tweets in the network were tweeted over the 2505-day, 7-hour, 49-minute period from Tuesday, 26 April 2016 at 17:04 UTC to Tuesday, 07 March 2023 at 00:54 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:
[268] graph,database [223] neo4j,graph [166] graph,data [152] bloodhound,neo4j [148] data,science [141] data,sets [140] relationships,between [138] uncover,hidden [137] graph,databases [136] hidden,relationships Top Word Pairs in Tweet in G1:
[118] use,neo4j [107] neo4j,database [104] architecture,#education [104] reasons,use [104] database,architecture [104] #education,#learning [104] top,reasons [89] graph,data [75] graph,database [73] data,science Top Word Pairs in Tweet in G2:
[78] neo4j,graph [63] graph,database [39] contains,260 [39] terminal,application [39] neo4j,cyphers [39] application,contains [38] cyphers,bloodhound [38] data,sets [38] bloodhound,data [38] 260,neo4j Top Word Pairs in Tweet in G3:
[33] graph,database [23] graph,databases [15] #memgraph,#graphdatabase [15] using,neo4j [13] contains,260 [13] 260,neo4j [13] data,sets [13] application,contains [13] cyphers,bloodhound [13] bloodhound,data Top Word Pairs in Tweet in G4:
[92] neo4j,produce [92] targeted,remediation [92] attack,paths [92] paths,targeted [92] produce,actionable [92] uses,sharphound [92] actionable,list [92] bloodhound,neo4j [92] sharphound,bloodhound [92] list,attack Top Word Pairs in Tweet in G5:
[124] records,explored [124] explored,using [124] uncover,hidden [124] hidden,relationships [124] tool,help [124] using,tool [124] help,uncover [124] relationships,between [105] open,data [105] data,records Top Word Pairs in Tweet in G6:
[30] postgresql,neo4j [17] starbuxman,postgresql [16] redisinc,neo4j [16] mongodb,teradata [16] db2zlabnews,mysql [16] sqlserver,db2zlabnews [16] teradata,filemakertoday [16] mysql,postgresql [16] postgresql,mongodb [16] filemakertoday,redisinc Top Word Pairs in Tweet in G7:
[7] connected,data [5] #neo4j,#graphdatabase [5] ausbiztv,tickernewsco [5] free,book [4] full,stack [4] graph,technology [4] emileifrem,jimwebber [4] data,power [3] stack,graphql [3] data,science Top Word Pairs in Tweet in G8:
[26] graph,database [19] powered,neo4j [13] delhi,ncr [12] neo4j,hack2skill [12] meetup,graph [11] ncr,powered [10] graph,db [10] docker,extension [9] database,bangalore [8] explore,creating Top Word Pairs in Tweet in G9:
[22] data,science [18] #learning,packtpub [18] #datascience,#machinelearning [18] #python,#book [18] leave,#neo4j [18] #neo4j,#datascience [18] #machinelearning,#python [18] #book,#learning [17] packtpub,pac [17] st3llasia,leave Top Word Pairs in Tweet in G10:
[36] short,open [36] hello,hacker's [36] firstly,cypher [36] hacker's,lets [36] lets,talk [36] cypher,query [36] talk,#cypher_injection [36] #cypher_injection,firstly [36] cypher,cypher [36] cypher,short 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 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: