The graph represents a network of 934 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, 29 November 2022 at 06:31 UTC.
The requested start date was Tuesday, 29 November 2022 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, 23-hour, 24-minute period from Tuesday, 15 November 2022 at 01:20 UTC to Tuesday, 29 November 2022 at 00:45 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 : 934
Unique Edges : 977
Edges With Duplicates : 1958
Total Edges : 2935
Number of Edge Types : 5
Mentions : 970
MentionsInRetweet : 874
Retweet : 560
Replies to : 165
Tweet : 366
Self-Loops : 374
Reciprocated Vertex Pair Ratio : 0.0990173847316704
Reciprocated Edge Ratio : 0.18019257221458
Connected Components : 138
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 713
Maximum Edges in a Connected Component : 2645
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.148217
Graph Density : 0.0016685371725754
Modularity : 0.351605
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 934 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, 29 November 2022 at 06:31 UTC.
The requested start date was Tuesday, 29 November 2022 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, 23-hour, 24-minute period from Tuesday, 15 November 2022 at 01:20 UTC to Tuesday, 29 November 2022 at 00:45 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:
[117] #livetweet,neo4j [83] #nodes2022,#livetweet [80] neo4j,#nodes2022 [62] great,content [61] participating,#nodes2022 [61] #nodes2022,great [60] content,speakers [59] over,world [59] speakers,over [56] world,#livetweet Top Word Pairs in Tweet in G1:
[90] #livetweet,neo4j [55] great,content [54] #nodes2022,great [54] content,speakers [53] over,world [53] speakers,over [51] #nodes2022,#livetweet [51] participating,#nodes2022 [50] world,#livetweet [32] neo4j,#nodes2022 Top Word Pairs in Tweet in G2:
[37] neo4j,#nodes2022 [27] #nodes2022,#livetweet [14] looking,forward [13] #livetweet,neo4j [11] #nodes2022,neo4j [10] graph,data [10] nodes,2022 [9] time,zones [9] starts,today [9] graph,database Top Word Pairs in Tweet in G3:
[8] neo4j,cyphers [8] 260,neo4j [7] cypherhound,260 [7] cyphers,bloodhound [7] data,sets [7] bloodhound,data [5] practical,neo4j [4] neo4j,graph [4] spark,neo4j [4] apache,spark Top Word Pairs in Tweet in G4:
[3] neo4j,workspace [2] mysingapore,mymdec [2] intro,workspace [2] infrastructure,applies [2] govtechsg,mysingapore [2] mymdec,skillsfuturesg [2] #neo4j,#graphdatabase [2] shelovesdata,opensourceway [2] department,infrastructure [2] australian,department Top Word Pairs in Tweet in G5:
[2] solution,check [2] arangodb,graph [2] sqlserver,db2zlabnews [2] mysql,postgresql [2] wrap,week [2] #ff,#database [2] postgresql,mongodb [2] graph,database [2] cycode,decided [2] decided,go Top Word Pairs in Tweet in G6:
[28] react,native [28] mysql,postgres [28] native,flutter [28] postgres,mssql [28] alternatives,react [28] cordova,mysql [28] svelte,angular [28] mssql,oracle [28] vuejs,svelte [28] flutter,cordova Top Word Pairs in Tweet in G7:
[28] #neo4j,#nodes2022 [15] graph,data [14] data,science [12] #neo4j,graph [8] full,stack [6] house,dragon [6] use,graph [6] dragon,game [6] trees,using [6] game,thrones Top Word Pairs in Tweet in G8:
[9] map,visualize [9] akamai,endpoints [9] endpoints,#devops [9] visualize,software [9] #devops,#developer [9] learn,map [9] help,akamai [9] software,infrastructure [9] infrastructure,help [6] #jobsearch,#mljobs Top Word Pairs in Tweet in G9:
[5] #combine22,symposium [4] thanks,sponsors [4] acknowledgement,thanks [4] huge,acknowledgement [4] sponsors,sponsoring [4] sponsoring,#combine22 [4] symposium,seqeralabs [3] illumina,melbioinf [3] silver,sponsors [3] seqeralabs,oracleresear Top Word Pairs in Tweet in G10:
[4] jupyter,notebooks [4] great,talk [4] during,#nodes2022 [4] notebooks,generating [4] really,cool [4] far,ysebp [4] ysebp,during [4] data,jupyter [4] talk,far [4] #nodes2022,pulling Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: