The graph represents a network of 1,385 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, 09 November 2021 at 06:25 UTC.
The requested start date was Tuesday, 09 November 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, 20-hour, 55-minute period from Tuesday, 26 October 2021 at 03:14 UTC to Tuesday, 09 November 2021 at 00:10 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 : 1385
Unique Edges : 1334
Edges With Duplicates : 2738
Total Edges : 4072
Number of Edge Types : 5
Mentions : 1132
Tweet : 279
Retweet : 904
MentionsInRetweet : 1457
Replies to : 300
Self-Loops : 299
Reciprocated Vertex Pair Ratio : 0.0372670807453416
Reciprocated Edge Ratio : 0.0718562874251497
Connected Components : 178
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 1077
Maximum Edges in a Connected Component : 3682
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.674411
Graph Density : 0.0011325932263517
Modularity : 0.413157
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,385 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, 09 November 2021 at 06:25 UTC.
The requested start date was Tuesday, 09 November 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, 20-hour, 55-minute period from Tuesday, 26 October 2021 at 03:14 UTC to Tuesday, 09 November 2021 at 00:10 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:
[297] try,something [297] something,today [287] neo4j,try [261] data,set [251] today,explore [224] easy,started [204] set,#graphdatabase [203] #panamapapers,data [203] #graphdatabase,sandbox [203] sandbox,easy Top Word Pairs in Tweet in G1:
[280] try,something [280] something,today [271] neo4j,try [243] data,set [238] today,explore [213] easy,started [195] set,#graphdatabase [194] #graphdatabase,sandbox [194] sandbox,easy [193] explore,#panamapapers Top Word Pairs in Tweet in G2:
[30] graph,database [18] neo4j,auradb [17] fully,managed [16] auradb,free [16] database,company [16] company,neo4j [16] neo4j,launches [16] launches,free [16] free,fully [14] ù,ø Top Word Pairs in Tweet in G3:
[12] exploring,graph [11] graph,using [10] machine,machine [10] machine,interactions [10] interactions,neo4j [10] neo4j,stores [10] stores,graphileon [10] graphileon,offers [10] offers,easy [10] easy,use Top Word Pairs in Tweet in G4:
[77] alexandererdl,ellazal [44] neo4j,alexandererdl [39] discover,#neo4j [39] #neo4j,aura [39] aura,free [34] neo4j,miss [34] episode,discover [34] free,alexandererdl [34] ellazal,catch [34] repo,write Top Word Pairs in Tweet in G5:
[8] neo4j,tb_tomaz [8] #neo4j,#graph [7] grand,stack [6] scalable,network [6] network,visualizations [6] visualizations,#grand [6] #grand,stack [6] stack,sigmajs [6] sigmajs,#neo4j [6] #graph,#network Top Word Pairs in Tweet in G6:
[4] neo4j,health [4] health,care [4] care,life [4] life,sciences [4] sciences,workshop [4] cypher,queries [4] partner,neo4j [4] data,engineer [4] excel,macos [4] openlink's,odbc Top Word Pairs in Tweet in G7:
[7] cloudflaretv,lauragift_ [7] lauragift_,unicodeveloper [7] unicodeveloper,sourcegraph [7] sourcegraph,jamesqquick [7] jamesqquick,reactjs [7] reactjs,threepointone [7] threepointone,mikesherov [7] mikesherov,jkup [7] jkup,lukeed05 [5] lukeed05,nickreese Top Word Pairs in Tweet in G8:
[18] #neo4j,#learning [18] #learning,#dataanalytics [12] #dataanalytics,#machinelearning [12] #machinelearning,#bigdata [10] astra,pro [10] pro,theme [10] theme,shashiwhocodes [10] shashiwhocodes,#neo4j [9] jahedul16776939,astra [9] #bigdata,#datâ Top Word Pairs in Tweet in G9:
[12] data,science [11] next,event [11] thurs,nov [11] 9am,pt [10] pt,12pm [9] dataumbrella,next [9] event,getting [9] getting,started [9] started,python [9] python,data Top Word Pairs in Tweet in G10:
[11] almuftifawaz,austral_ed [11] austral_ed,iia_es [11] iia_es,discriminantbot [11] ahmed_albeshri,neo4j [9] discriminantbot,alghabiwe [9] alghabiwe,ahmed_albeshri [9] drpmiramontes,sonybec [8] neo4j,healthdotinc [7] sonybec,yusramagdi [7] yusramagdi,sylviaduckworth Top Replied-To in Entire Graph:
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Top Replied-To in G10:
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: