The graph represents a network of 1,185 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 December 2021 at 06:33 UTC.
The requested start date was Tuesday, 21 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, 1-hour, 15-minute period from Tuesday, 07 December 2021 at 01:05 UTC to Monday, 20 December 2021 at 02:20 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 : 1185
Unique Edges : 1075
Edges With Duplicates : 2617
Total Edges : 3692
Number of Edge Types : 5
Retweet : 900
MentionsInRetweet : 1380
Tweet : 346
Replies to : 261
Mentions : 805
Self-Loops : 375
Reciprocated Vertex Pair Ratio : 0.0542412002308136
Reciprocated Edge Ratio : 0.102900930487137
Connected Components : 195
Single-Vertex Connected Components : 113
Maximum Vertices in a Connected Component : 836
Maximum Edges in a Connected Component : 3213
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.006645
Graph Density : 0.00130217242559015
Modularity : 0.385201
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,185 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 December 2021 at 06:33 UTC.
The requested start date was Tuesday, 21 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, 1-hour, 15-minute period from Tuesday, 07 December 2021 at 01:05 UTC to Monday, 20 December 2021 at 02:20 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 [156] neo4j,try [145] data,set [145] knowledge,graph [143] today,explore [129] easy,started [120] set,#graphdatabase [119] #graphdatabase,sandbox [119] sandbox,easy Top Word Pairs in Tweet in G1:
[144] try,something [144] something,today [135] neo4j,try [132] data,set [129] today,explore [119] easy,started [113] set,#graphdatabase [112] #graphdatabase,sandbox [112] sandbox,easy [111] explore,#panamapapers Top Word Pairs in Tweet in G2:
[10] java,driver [10] rotnroll666,neo4j [10] mcohmi,neo4j [9] yourself,data [9] graph_aware,rotnroll666 [8] #pandora,papers [8] nice,utilization [8] utilization,#neo4j [8] #neo4j,graphs [8] graphs,log4j Top Word Pairs in Tweet in G3:
[32] fine,tuned [32] tuned,scibert [31] scientific,articles [31] articles,fine [31] scibert,ner [31] ner,model [31] model,neo4j [30] analyzing,scientific [21] neo4j,kdnuggets [13] knowledge,graph Top Word Pairs in Tweet in G4:
[86] alexandererdl,ellazal [52] neo4j,alexandererdl [44] episode,discover [44] discover,#neo4j [44] #neo4j,aura [44] aura,free [44] free,alexandererdl [44] ellazal,catch [44] repo,write [43] neo4j,miss Top Word Pairs in Tweet in G5:
[58] #neo4j,#learning [43] #learning,#dataanalytics [21] next,event [21] 9am,pt [19] knowledge,graph [19] graph,completion [18] kerala,govt [18] govt,create [18] create,databank [18] databank,people Top Word Pairs in Tweet in G6:
[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 G7:
[33] knowledge,graph [17] graph,neo4j [17] neo4j,transformers [16] concise,guide [16] guide,building [16] building,knowledge [16] transformers,head [16] head,over [16] over,ubiai5's [16] ubiai5's,latest Top Word Pairs in Tweet in G8:
[9] mutazalsabah,kalrasadi [8] kalrasadi,dr_i3rahimsaleh [8] dr_i3rahimsaleh,almuftifawaz [8] almuftifawaz,austral_ed [8] austral_ed,iia_es [8] iia_es,discriminantbot [7] discriminantbot,alghabiwe [7] alghabiwe,ahmed_albeshri [6] ahmed_albeshri,neo4j [6] drpmiramontes,sonybec Top Word Pairs in Tweet in G9:
[26] knowledge,graph [21] graph,completion [16] perform,knowledge [15] integrate,#neo4j [15] #neo4j,#pykeen [15] #pykeen,perform [15] completion,tasks [15] #graph,#ml [15] #ml,#linkprediction [14] tasks,keenuniverse Top Word Pairs in Tweet in G10:
[23] analyzing,scientific [23] scientific,articles [23] articles,fine [23] fine,tuned [23] tuned,scibert [23] scibert,ner [23] ner,model [23] model,neo4j [22] neo4j,#nlproc [22] #nlproc,#kdnuggets Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: