The graph represents a network of 3,171 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 05:34 UTC.
The tweets in the network were tweeted over the 2512-day, 6-hour, 12-minute period from Tuesday, 26 April 2016 at 17:04 UTC to Monday, 13 March 2023 at 23:17 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 : 3171
Unique Edges : 2614
Edges With Duplicates : 8909
Total Edges : 11523
Number of Edge Types : 9
Replies to : 990
MentionsInReplyTo : 2052
Retweet : 1850
MentionsInRetweet : 2812
Tweet : 1736
MentionsInQuote : 95
Mentions : 1838
Quote : 124
MentionsInQuoteReply : 26
Self-Loops : 2257
Reciprocated Vertex Pair Ratio : 0.0784974717071996
Reciprocated Edge Ratio : 0.145568207189105
Connected Components : 720
Single-Vertex Connected Components : 527
Maximum Vertices in a Connected Component : 2102
Maximum Edges in a Connected Component : 9560
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.854414
Graph Density : 0.000445579865639615
Modularity : 0.326204
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,171 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 05:34 UTC.
The tweets in the network were tweeted over the 2512-day, 6-hour, 12-minute period from Tuesday, 26 April 2016 at 17:04 UTC to Monday, 13 March 2023 at 23:17 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:
[278] graph,database [234] neo4j,graph [185] graph,data [162] data,science [159] use,neo4j [153] graph,databases [152] bloodhound,neo4j [145] data,sets [141] relationships,between [138] neo4j,database Top Word Pairs in Tweet in G1:
[77] neo4j,graph [63] graph,database [47] knowledge,graph [44] contains,260 [44] application,contains [44] terminal,application [44] neo4j,cyphers [43] 260,neo4j [43] data,sets [43] cyphers,bloodhound Top Word Pairs in Tweet in G2:
[100] graph,database [72] graph,data [66] neo4j,graph [59] data,science [44] graph,databases [38] take,look [34] #neo4j,#graphdatabase [29] powered,neo4j [26] knowledge,graph [24] graph,theory Top Word Pairs in Tweet in G3:
[40] graph,database [38] graph,data [34] graph,databases [31] neo4j,graph [27] data,science [19] lyonwj,neo4j [18] #memgraph,#graphdatabase [18] knowledge,graphs [18] using,neo4j [16] year,strong 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:
[125] records,explored [125] explored,using [125] uncover,hidden [125] hidden,relationships [125] tool,help [125] using,tool [125] help,uncover [125] relationships,between [105] open,data [105] data,records Top Word Pairs in Tweet in G6:
[25] advent,code [25] data,science [25] #cypher,#neo4j [22] code,2022 [21] #datascience,#machinelearning [21] #python,#book [21] #learning,packtpub [21] #neo4j,#datascience [21] #machinelearning,#python [21] leave,#neo4j Top Word Pairs in Tweet in G7:
[7] connected,data [6] emileifrem,jimwebber [5] graph,technology [5] graph,data [5] free,book [5] ausbiztv,tickernewsco [5] full,stack [4] #graphtechnology,emileifrem [4] graphql,applications [4] data,science Top Word Pairs in Tweet in G8:
[26] postgresql,neo4j [16] oracledatabase,sqlserver [16] teradata,filemakertoday [16] mongodb,teradata [16] filemakertoday,redisinc [16] db2zlabnews,mysql [16] sqlserver,db2zlabnews [16] mysql,postgresql [16] postgresql,mongodb [15] starbuxman,postgresql Top Word Pairs in Tweet in G9:
[31] upcoming,event [18] dataumbrella,upcoming [13] tues,january [12] financial,news [11] 9am,pt [11] event,google [11] google,summer [11] patel,larryshamalama [11] gsoc,experience [11] larryshamalama,oriolabril Top Word Pairs in Tweet in G10:
[36] #cypher_injection,firstly [36] cypher,short [36] firstly,cypher [36] talk,#cypher_injection [36] hello,hacker's [36] lets,talk [36] cypher,query [36] hacker's,lets [36] open,cypher [36] short,open Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: