The graph represents a network of 1,066 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 Wednesday, 09 October 2019 at 23:24 UTC.
The requested start date was Wednesday, 09 October 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 20-minute period from Wednesday, 25 September 2019 at 00:04 UTC to Tuesday, 08 October 2019 at 23:25 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[158] #neo4j,community [137] new,#neo4j [137] community,post [133] online,developer [108] à,à [102] graph,databases [99] #nodes2019,online [96] graph,algorithms [93] developer,conference [85] oct,10 Top Word Pairs in Tweet in G1:
[82] graph,databases [78] free,1 [78] 1,day [78] day,online [78] online,30 [78] 30,sessions [78] sessions,graph [78] databases,algorithms [78] algorithms,application [78] application,development Top Word Pairs in Tweet in G2:
[52] graph,algorithms [51] online,developer [37] neo4j,graph [36] graph,database [35] #nodes2019,online [33] developer,conference [30] real,time [27] oct,10 [23] amyhodler,markhneedham [22] neo4j,neo4j Top Word Pairs in Tweet in G3:
[56] ã,ã [36] ø,ø [20] ù,ø [18] ø,ù [13] online,developer [12] graph,algorithms [12] â,â [9] oct,10 [9] ù,ù [9] #nodes2019,online Top Word Pairs in Tweet in G4:
[62] #bigdata,#analytics [48] #analytics,#nosql [46] #datascience,#ai [46] #ai,#machinelearning [33] #machinelearning,#iot [33] #iot,#iiot [28] #nosql,#datascience [20] #iiot,#pytorch [17] #grandstack,#neo4j [17] #neo4j,#graphql Top Word Pairs in Tweet in G5:
[36] shahrol,ex [36] ex,1mdb [36] 1mdb,ceo [36] ceo,najibrazak [36] najibrazak,corruption [36] corruption,trial [36] trial,seems [36] seems,mentioning [36] mentioning,involvement [36] involvement,jho Top Word Pairs in Tweet in G6:
[22] load,testing [13] graph_aware,team [13] team,happy [13] happy,announce [13] announce,native [13] native,neo4j [13] neo4j,support [13] support,upcoming [13] upcoming,apachejmeter [13] apachejmeter,5 Top Word Pairs in Tweet in G7:
[8] speak,springdata [8] springdata,neo4j [8] neo4j,rx [8] rx,#nodes19 [8] #nodes19,online [8] online,conference [8] conference,next [8] next,week [7] meistermeier,speak [6] #nodes2019,online Top Word Pairs in Tweet in G8:
[10] blog,post [9] new,blog [9] post,loading [6] loading,data [6] data,neo4j [6] neo4j,using [6] using,pentaho [6] pentaho,kettle [6] kettle,neo4joutput [6] neo4joutput,plugin Top Word Pairs in Tweet in G9:
[25] グラフデータベースのクエリー言語はgqlに集約されるらしい,neo4j発 [25] neo4j発,graphqlとは別物 [25] graphqlとは別物,gql [25] gql,manifesto [25] manifesto,one [25] one,property [25] property,graph [25] graph,query [25] query,language [24] matsuu,グラフデータベースのクエリー言語はgqlに集約されるらしい Top Word Pairs in Tweet in G10:
[11] 5,minute [11] minute,interview [9] #nodes2019,online [9] online,developer [9] developer,conference [8] mckenzma,neo4j [8] neo4j,#nodes2019 [8] conference,oct [8] oct,10 [7] turning,data Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: