The graph represents a network of 1,148 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 April 2020 at 05:20 UTC.
The requested start date was Tuesday, 21 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 2-hour, 39-minute period from Tuesday, 07 April 2020 at 03:23 UTC to Monday, 20 April 2020 at 06:02 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 1148
Unique Edges : 1193
Edges With Duplicates : 3004
Total Edges : 4197
Number of Edge Types : 5
Mentions : 830
Replies to : 177
MentionsInRetweet : 1766
Retweet : 1065
Tweet : 359
Self-Loops : 368
Reciprocated Vertex Pair Ratio : 0.0573986308583465
Reciprocated Edge Ratio : 0.108565737051793
Connected Components : 170
Single-Vertex Connected Components : 123
Maximum Vertices in a Connected Component : 846
Maximum Edges in a Connected Component : 3831
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.238382
Graph Density : 0.00152495982551057
Modularity : 0.353316
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 1,148 Twitter users whose tweets in the requested range contained "neo4j", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 21 April 2020 at 05:20 UTC.
The requested start date was Tuesday, 21 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 2-hour, 39-minute period from Tuesday, 07 April 2020 at 03:23 UTC to Monday, 20 April 2020 at 06:02 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[393] data,science [307] graph,data [272] neo4j,graph [190] #bigdata,#analytics [160] #ai,#machinelearning [149] #analytics,#nosql [149] #iot,#iiot [132] #datascience,#ai [120] #nosql,#datascience [119] graph,database Top Word Pairs in Tweet in G1:
[155] data,science [120] graph,data [86] neo4j,graph [36] science,library [33] science,neo4j [32] graph,database [30] announcing,neo4j [30] lead,product [29] science,alicia [29] alicia,frame Top Word Pairs in Tweet in G2:
[124] data,science [103] neo4j,graph [97] graph,data [38] graph,#datascience [30] announcing,neo4j [28] graph,database [26] science,#bigdata [24] neo4j,introduces [24] introduces,neo4j [23] #datascience,library Top Word Pairs in Tweet in G3:
[38] data,science [31] graph,data [25] neo4j,graph [12] data,scientists [10] framework,data [10] graph,database [10] science,library [8] introducing,neo4j [8] science,first [8] first,enterprise Top Word Pairs in Tweet in G4:
[34] data,science [21] graph,data [21] neo4j,graph [10] graph,database [9] #ai,#machinelearning [9] graph,#datascience [8] announcing,neo4j [8] data,relationship [8] relationship,complicated [7] news,added Top Word Pairs in Tweet in G5:
[138] #bigdata,#analytics [116] #ai,#machinelearning [111] #iot,#iiot [110] #analytics,#nosql [94] #datascience,#ai [89] #machinelearning,#iot [89] #iiot,#python [88] #nosql,#datascience [66] link,prediction [66] prediction,#neo4j Top Word Pairs in Tweet in G6:
[25] #bigdata,#analytics [24] meistermeier,rotnroll666 [23] rotnroll666,something [23] something,cooking [23] cooking,over [23] over,year [23] year,super [23] super,happy [23] happy,announce [23] announce,released Top Word Pairs in Tweet in G7:
[51] #bloodhound,example [51] example,database [51] database,upgrade [51] upgrade,compatible [51] compatible,bloodhound [51] bloodhound,download [51] download,bloodhound [51] bloodhound,gui [50] _wald0,#bloodhound Top Word Pairs in Tweet in G8:
[2] ubuntu,much [2] much,easier [2] easier,stick [2] stick,#lts [2] #lts,keep [2] keep,software [2] software,updated [2] updated,#snaps [2] #snaps,#flatpak [2] secevangelism,katyanton Top Word Pairs in Tweet in G9:
[2] #ff,#database [2] #database,oracledatabase [2] oracledatabase,sqlserver [2] sqlserver,db2zlabnews [2] db2zlabnews,mysql [2] mysql,postgresql [2] postgresql,mongodb [2] mongodb,teradata [2] teradata,filemakertoday [2] filemakertoday,redislabs Top Word Pairs in Tweet in G10:
[13] humanitarian,ai [13] ai,today [13] today,celebrating [13] celebrating,birthday [13] birthday,graph [13] graph,theory [13] theory,three [13] three,graphs4good [13] graphs4good,podcast [13] podcast,interviews Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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