The graph represents a network of 1,370 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, 14 December 2021 at 06:33 UTC.
The requested start date was Tuesday, 14 December 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, 22-hour, 49-minute period from Tuesday, 30 November 2021 at 02:09 UTC to Tuesday, 14 December 2021 at 00:59 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 : 1370
Unique Edges : 1229
Edges With Duplicates : 3105
Total Edges : 4334
Number of Edge Types : 5
Mentions : 967
Retweet : 1071
MentionsInRetweet : 1664
Replies to : 287
Tweet : 345
Self-Loops : 376
Reciprocated Vertex Pair Ratio : 0.0462124821343497
Reciprocated Edge Ratio : 0.0883424408014572
Connected Components : 180
Single-Vertex Connected Components : 117
Maximum Vertices in a Connected Component : 1074
Maximum Edges in a Connected Component : 3920
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.196437
Graph Density : 0.00117086903435296
Modularity : 0.39518
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,370 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, 14 December 2021 at 06:33 UTC.
The requested start date was Tuesday, 14 December 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, 22-hour, 49-minute period from Tuesday, 30 November 2021 at 02:09 UTC to Tuesday, 14 December 2021 at 00:59 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:
[165] try,something [165] something,today [157] neo4j,try [156] today,explore [149] data,set [135] easy,started [133] alexandererdl,ellazal [129] knowledge,graph [127] set,#graphdatabase [126] #graphdatabase,sandbox Top Word Pairs in Tweet in G1:
[144] try,something [144] something,today [136] neo4j,try [132] today,explore [131] data,set [120] easy,started [114] set,#graphdatabase [113] #graphdatabase,sandbox [113] sandbox,easy [112] explore,#panamapapers Top Word Pairs in Tweet in G2:
[35] knowledge,graph [22] graph,completion [17] native,call [17] call,path [17] path,universe [17] universe,neo4j [16] quarkus,native [16] integrate,#neo4j [16] #neo4j,#pykeen [16] #pykeen,perform Top Word Pairs in Tweet in G3:
[24] fine,tuned [24] tuned,scibert [23] scientific,articles [23] articles,fine [23] scibert,ner [23] ner,model [23] model,neo4j [22] analyzing,scientific [13] neo4j,kdnuggets [10] neo4j,gibt Top Word Pairs in Tweet in G4:
[127] alexandererdl,ellazal [72] neo4j,alexandererdl [61] episode,discover [61] discover,#neo4j [61] #neo4j,aura [61] aura,free [61] free,alexandererdl [61] ellazal,catch [61] repo,write [60] neo4j,miss Top Word Pairs in Tweet in G5:
[84] building,fun [84] fun,project [84] project,deploy [84] deploy,database [84] database,free [84] free,mongodb [84] mongodb,atlas [84] atlas,datastax [84] datastax,astra [84] astra,neo4j Top Word Pairs in Tweet in G6:
[36] project,domino [25] proud,#hubby [25] #hubby,webcoderz [25] webcoderz,watched [25] watched,work [25] work,tirelessly [25] tirelessly,years [25] years,truly [25] truly,altruistic [25] altruistic,reasons Top Word Pairs in Tweet in G7:
[5] oracledatabase,sqlserver [5] sqlserver,db2zlabnews [5] db2zlabnews,mysql [5] mysql,postgresql [5] postgresql,mongodb [5] mongodb,teradata [5] teradata,filemakertoday [5] filemakertoday,redisinc [4] #ff,#database [4] #database,oracledatabase Top Word Pairs in Tweet in G8:
[35] knowledge,graph [18] graph,neo4j [18] neo4j,transformers [15] concise,guide [15] guide,building [15] building,knowledge [15] transformers,head [15] head,over [15] over,ubiai5's [15] ubiai5's,latest Top Word Pairs in Tweet in G9:
[9] mutazalsabah,kalrasadi [9] kalrasadi,dr_i3rahimsaleh [9] dr_i3rahimsaleh,almuftifawaz [9] almuftifawaz,austral_ed [9] austral_ed,iia_es [9] iia_es,discriminantbot [8] discriminantbot,alghabiwe [8] alghabiwe,ahmed_albeshri [7] ahmed_albeshri,neo4j [4] drpmiramontes,sonybec Top Word Pairs in Tweet in G10:
[61] #neo4j,#learning [45] #learning,#dataanalytics [20] kerala,govt [20] govt,create [20] create,databank [20] databank,people [20] people,above [20] above,30 [20] 30,treat [20] treat,#neo4j Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: