The graph represents a network of 1,538 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 September 2021 at 05:26 UTC.
The requested start date was Tuesday, 21 September 2021 at 00:01 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, 21-hour, 37-minute period from Tuesday, 07 September 2021 at 01:31 UTC to Monday, 20 September 2021 at 23:09 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 : 1538
Unique Edges : 1138
Edges With Duplicates : 3532
Total Edges : 4670
Number of Edge Types : 5
Retweet : 1283
MentionsInRetweet : 1789
Mentions : 965
Tweet : 254
Replies to : 379
Self-Loops : 276
Reciprocated Vertex Pair Ratio : 0.0329218106995885
Reciprocated Edge Ratio : 0.0637450199203187
Connected Components : 122
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 1340
Maximum Edges in a Connected Component : 4433
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.865251
Graph Density : 0.000955621754841352
Modularity : 0.350167
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,538 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 September 2021 at 05:26 UTC.
The requested start date was Tuesday, 21 September 2021 at 00:01 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, 21-hour, 37-minute period from Tuesday, 07 September 2021 at 01:31 UTC to Monday, 20 September 2021 at 23:09 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:
[536] try,something [536] something,today [526] neo4j,try [407] today,explore [353] data,set [291] easy,started [239] set,#graphdatabase [238] #graphdatabase,sandbox [238] sandbox,easy [237] explore,#panamapapers Top Word Pairs in Tweet in G1:
[416] try,something [416] something,today [407] neo4j,try [344] today,explore [297] data,set [255] easy,started [215] set,#graphdatabase [214] #graphdatabase,sandbox [214] sandbox,easy [213] explore,#panamapapers Top Word Pairs in Tweet in G2:
[95] alexandererdl,ellazal [53] #neo4j,aura [53] neo4j,alexandererdl [51] aura,free [46] discover,#neo4j [44] episode,discover [44] free,alexandererdl [44] ellazal,catch [44] repo,write [42] neo4j,miss Top Word Pairs in Tweet in G3:
[79] jaguar,land [79] graph,database [70] learn,jaguar [70] land,rover's [70] rover's,trials [70] trials,tribulations [70] tribulations,path [70] path,tigergraph [70] tigergraph,graph [70] database,scale Top Word Pairs in Tweet in G4:
[9] graph,algorithms [5] apache,spark [5] spark,neo4j [4] graph,database [4] data,entry [4] book,thoth [4] free,download [4] download,o'reilly [4] o'reilly,graph [4] algorithms,book Top Word Pairs in Tweet in G5:
[37] #neo4j,#learning [37] #learning,#dataanalytics [37] #dataanalytics,#machinelearning [37] #machinelearning,#bigdata [37] #bigdata,#datascience [24] visualizing,python [24] python,modules [24] modules,dependencies [24] dependencies,neo4j [21] losing,weight Top Word Pairs in Tweet in G6:
[8] machine,machine [8] machine,interactions [8] interactions,neo4j [8] neo4j,stores [8] stores,graphileon [8] graphileon,offers [8] offers,easy [8] easy,use [8] use,#api [8] #api,function Top Word Pairs in Tweet in G7:
[76] neo4j,try [76] try,something [76] something,today [34] today,spin [34] spin,#neo4j [34] #neo4j,instance [34] instance,cloud [34] cloud,start [34] start,querying [34] querying,graphql Top Word Pairs in Tweet in G8:
[11] realise,full [11] full,potential [11] essential,amy [11] amy,hodler [11] hodler,amyhodler [11] amyhodler,recent [10] machine_ml,neo4j [10] neo4j,marcusborba [9] neo4j,ai [9] ai,realise Top Word Pairs in Tweet in G9:
[8] neo4j,fgdewji [8] fgdewji,sylviaduckworth [8] sylviaduckworth,drdaltonsmith [6] drdaltonsmith,idiazayuso [6] idiazayuso,teachergoals [6] teachergoals,bridgecrewio [6] bridgecrewio,mindshiftkqed [6] mindshiftkqed,nctdaoying [6] nctdaoying,#doyoung [6] #doyoung,#도영 Top Word Pairs in Tweet in G10:
[10] dr,alicia [10] alicia,frame [6] frame,aliciaframe1 [5] aliciaframe1,neo4j's [5] neo4j's,keynote [5] minutes,join [5] join,find [5] find,big [5] big,deal [5] deal,graph Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: