The graph represents a network of 963 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, 23 February 2021 at 06:17 UTC.
The requested start date was Tuesday, 23 February 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 49-minute period from Tuesday, 09 February 2021 at 01:10 UTC to Tuesday, 23 February 2021 at 01:00 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 : 963
Unique Edges : 1146
Edges With Duplicates : 4622
Total Edges : 5768
Number of Edge Types : 5
Tweet : 310
Replies to : 240
Mentions : 1129
Retweet : 1154
MentionsInRetweet : 2935
Self-Loops : 319
Reciprocated Vertex Pair Ratio : 0.0591658583899127
Reciprocated Edge Ratio : 0.111721611721612
Connected Components : 127
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 773
Maximum Edges in a Connected Component : 5564
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.014522
Graph Density : 0.00235749768460049
Modularity : 0.268534
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 963 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, 23 February 2021 at 06:17 UTC.
The requested start date was Tuesday, 23 February 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 49-minute period from Tuesday, 09 February 2021 at 01:10 UTC to Tuesday, 23 February 2021 at 01:00 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:
[190] machine,learning [165] punishedspy01,origin_trail [162] origin_trail,neo4j [157] guinnessstache,punishedspy01 [152] wen_s_klasse,guinnessstache [140] jwolpert,wen_s_klasse [131] neo4j,using [126] graphs,artificial [126] artificial,intelligence [125] branarakic,jwolpert Top Word Pairs in Tweet in G1:
[40] #neo4j,#graphdatabases [34] serverless,apis [34] apis,conference [34] feb,24 [33] conference,feb [33] 24,learn [33] learn,build [33] build,improve [33] improve,#serverless [33] #serverless,apis Top Word Pairs in Tweet in G2:
[81] neo4j,using [79] using,#python [74] #ai,#ml [73] machine,learning [70] #graph,#database [70] #datascience,#data [69] create,#graph [69] #python,#ai [69] #tech,#business [69] #business,#startup Top Word Pairs in Tweet in G3:
[85] machine,learning [58] graphs,artificial [58] artificial,intelligence [55] intelligence,machine [27] neo4j,#bbbt [26] neo4j,graphs [26] learning,jimwebber [26] #bbbt,neo4j [24] learning,#machinelearning [23] jimwebber,#ai Top Word Pairs in Tweet in G4:
[13] graph,database [9] machine,learning [6] create,graph [6] database,neo4j [6] neo4j,using [6] using,python [5] supervised,machine [5] learning,workflows [5] workflows,neo4j [4] engineer,neo4j Top Word Pairs in Tweet in G5:
[161] punishedspy01,origin_trail [158] origin_trail,neo4j [156] guinnessstache,punishedspy01 [151] wen_s_klasse,guinnessstache [138] jwolpert,wen_s_klasse [123] branarakic,jwolpert [43] neo4j,w3c [25] great,see [23] knowledge,graph [18] branarakic,wen_s_klasse Top Word Pairs in Tweet in G6:
[28] neo4j,using [26] create,graph [26] graph,database [26] database,neo4j [26] using,python [17] python,data [17] data,cleaning [17] cleaning,graph [17] graph,population [16] pythonhub,create Top Word Pairs in Tweet in G7:
[6] springdata,neo4j [5] diseases,such [5] such,#diabetes [5] #diabetes,#cancer [4] learn,urlaubsarchitektur [4] urlaubsarchitektur,co [4] co,flx8veix2j [4] flx8veix2j,uses [4] uses,structr [4] structr,smart Top Word Pairs in Tweet in G8:
[3] oracledatabase,sqlserver [3] sqlserver,db2zlabnews [3] db2zlabnews,mysql [3] mysql,postgresql [3] postgresql,mongodb [3] mongodb,teradata [3] teradata,filemakertoday [3] filemakertoday,redislabs [2] craigmullins,#ff [2] #ff,#database Top Word Pairs in Tweet in G9:
[6] graph,algorithms [5] free,download [5] download,o'reilly [5] o'reilly,graph [5] algorithms,book [5] book,includes [5] includes,hands [5] hands,examples [4] learn,#neo4j [4] #neo4j,runs Top Word Pairs in Tweet in G10:
[12] year,award [7] check,infoworld's [7] infoworld's,tech [7] tech,year [7] award,winners [7] winners,featuring [7] featuring,zoom_us [7] zoom_us,zapier [7] zapier,confluence [7] confluence,resolvesystems 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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