The graph represents a network of 1,235 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, 26 October 2021 at 05:25 UTC.
The requested start date was Tuesday, 26 October 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, 22-hour, 26-minute period from Tuesday, 12 October 2021 at 00:29 UTC to Monday, 25 October 2021 at 22:55 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 : 1235
Unique Edges : 1061
Edges With Duplicates : 3116
Total Edges : 4177
Number of Edge Types : 5
Retweet : 1077
MentionsInRetweet : 1592
Replies to : 264
Mentions : 1010
Tweet : 234
Self-Loops : 266
Reciprocated Vertex Pair Ratio : 0.0471553049718093
Reciprocated Edge Ratio : 0.0900636319138522
Connected Components : 106
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 970
Maximum Edges in a Connected Component : 3803
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.309498
Graph Density : 0.00134055997742767
Modularity : 0.381244
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,235 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, 26 October 2021 at 05:25 UTC.
The requested start date was Tuesday, 26 October 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, 22-hour, 26-minute period from Tuesday, 12 October 2021 at 00:29 UTC to Monday, 25 October 2021 at 22:55 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:
[177] #neo4j,#learning [168] #learning,#dataanalytics [148] graph,database [143] #dataanalytics,#machinelearning [124] #machinelearning,#bigdata [110] try,something [110] something,today [105] jaguar,land [98] neo4j,try [92] data,set Top Word Pairs in Tweet in G1:
[95] try,something [95] something,today [86] neo4j,try [84] data,set [80] today,explore [74] easy,started [65] set,#graphdatabase [64] #graphdatabase,sandbox [64] sandbox,easy [63] explore,#panamapapers Top Word Pairs in Tweet in G2:
[77] alexandererdl,ellazal [48] aura,free [44] discover,#neo4j [44] #neo4j,aura [43] neo4j,miss [43] episode,discover [43] free,alexandererdl [43] ellazal,catch [43] repo,write [41] neo4j,alexandererdl Top Word Pairs in Tweet in G3:
[103] jaguar,land [103] graph,database [79] learn,jaguar [79] land,rover's [79] rover's,trials [79] trials,tribulations [79] tribulations,path [79] path,tigergraph [79] tigergraph,graph [79] database,scale Top Word Pairs in Tweet in G4:
[134] #neo4j,#learning [132] #learning,#dataanalytics [118] #dataanalytics,#machinelearning [108] #machinelearning,#bigdata [53] #bigdata,#dat [31] astra,pro [31] pro,theme [31] theme,shashiwhocodes [31] shashiwhocodes,#neo4j [30] jahedul16776939,astra Top Word Pairs in Tweet in G5:
[69] first,job [69] job,tech [69] tech,knowing [69] knowing,java [69] java,basic [69] basic,git [69] git,database [69] database,management [69] management,months [69] months,ve Top Word Pairs in Tweet in G6:
[5] graph,database [5] graph,databases [3] graph,algorithms [2] use,graph [2] apache,spark [2] spark,neo4j [2] free,download [2] database,market [2] market,develop [2] develop,growth Top Word Pairs in Tweet in G7:
[10] #lowcode,#nocode [10] installing,google [10] google,geocharts [10] geocharts,example [10] example,under [10] under,30 [10] 30,secs [10] secs,graphileon [10] graphileon,app [10] app,library Top Word Pairs in Tweet in G8:
[9] several,people [9] people,asked [9] asked,bring [9] bring,rdf [9] rdf,data [9] data,neo4j [9] neo4j,creating [9] creating,#knowledgegraphs [8] cjlovesdata1,several [7] team,hiring Top Word Pairs in Tweet in G9:
[7] dr_i3rahimsaleh,almuftifawaz [7] almuftifawaz,austral_ed [7] austral_ed,iia_es [7] iia_es,discriminantbot [7] discriminantbot,alghabiwe [7] alghabiwe,ahmed_albeshri [7] ahmed_albeshri,neo4j [5] drpmiramontes,sonybec [5] sonybec,yusramagdi [5] yusramagdi,sylviaduckworth Top Word Pairs in Tweet in G10:
[3] #affiliatemarketing,#socialmediamarketing [3] #socialmediamarketing,#makemoneyonline [3] #makemoneyonline,#entrepreneur [2] neo4j,fgdewji [2] fgdewji,sylviaduckworth [2] sylviaduckworth,drdaltonsmith [2] drdaltonsmith,waltshaub [2] waltshaub,idiazayuso [2] idiazayuso,teachergoals [2] teachergoals,bridgecrewio Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: