The graph represents a network of 798 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, 23 December 2020 at 06:17 UTC.
The requested start date was Tuesday, 22 December 2020 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, 34-minute period from Tuesday, 08 December 2020 at 01:05 UTC to Tuesday, 22 December 2020 at 00:39 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 : 798
Unique Edges : 784
Edges With Duplicates : 1635
Total Edges : 2419
Number of Edge Types : 5
Retweet : 448
MentionsInRetweet : 769
Replies to : 163
Mentions : 734
Tweet : 305
Self-Loops : 310
Reciprocated Vertex Pair Ratio : 0.0743362831858407
Reciprocated Edge Ratio : 0.13838550247117
Connected Components : 117
Single-Vertex Connected Components : 74
Maximum Vertices in a Connected Component : 608
Maximum Edges in a Connected Component : 2149
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.066604
Graph Density : 0.00190878702402179
Modularity : 0.390257
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 798 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, 23 December 2020 at 06:17 UTC.
The requested start date was Tuesday, 22 December 2020 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, 34-minute period from Tuesday, 08 December 2020 at 01:05 UTC to Tuesday, 22 December 2020 at 00:39 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:
[50] graph,database [38] graph,databases [28] graphie,award [28] graph,algorithms [27] #neo4j,#graphdatabases [27] spring,boot [26] graph,data [26] contributing,pandas [26] pandas,marco [26] marco,edward Top Word Pairs in Tweet in G1:
[24] #neo4j,#graphdatabases [23] graph,database [19] graph,databases [17] graph,algorithms [15] graph,technology [15] try,something [15] something,today [14] minute,interview [13] graph,data [13] graphie,award Top Word Pairs in Tweet in G2:
[6] graph,databases [6] neo4j,client [5] graph,database [4] neo4j,graph [4] spring,boot [4] tiny,orm [4] orm,graph [4] databases,neo4j [4] neo4j,redisgraph [4] redisgraph,aws Top Word Pairs in Tweet in G3:
[8] live,stream [8] 2020,neo4j [6] lit,element [6] #neo4j,join [6] join,neo4j [6] neo4j,live [6] loved,commonly [6] commonly,referred [6] referred,apcjones [6] apcjones,arrows Top Word Pairs in Tweet in G4:
[13] morgen,jug [13] jug,dortmund [13] dortmund,gast [13] gast,werde [13] werde,wenig [13] wenig,mehr [13] mehr,neo4j [13] neo4j,zugriff [13] zugriff,javawelt [12] meistermeier,morgen Top Word Pairs in Tweet in G5:
[10] neo4j,bi [10] bi,connector [10] data,science [9] david,allen [9] allen,mdavidallen [9] evolving,application [9] #neo4j,#connecteddata [9] graph,data [8] 를,활용한 [7] complex,data Top Word Pairs in Tweet in G6:
[14] nodexl,neo4j [9] top,hashtags [8] graph,database [8] database,nodexl [8] neo4j,salhaj [8] salhaj,loic__lefevre [8] loic__lefevre,tigergraphdb [8] tigergraphdb,codegnuts [8] codegnuts,nebulagraph [6] neo4j,nodexl Top Word Pairs in Tweet in G7:
[4] taught,myself [4] myself,graph [4] graph,databases [4] databases,neo4j [4] neo4j,back [4] back,mars [4] mars,driving [4] driving,ai [4] ai,ml [4] ml,internally Top Word Pairs in Tweet in G8:
[26] contributing,pandas [26] pandas,marco [26] marco,edward [26] edward,gorelli [26] gorelli,tues [26] tues,dec [26] dec,15th [26] 15th,9am [26] 9am,pst [26] pst,12pm Top Word Pairs in Tweet in G9:
[4] #ff,#database [4] #database,oracledatabase [4] oracledatabase,sqlserver [4] sqlserver,db2zlabnews [4] db2zlabnews,mysql [4] mysql,postgresql [4] postgresql,mongodb [4] mongodb,teradata [4] teradata,filemakertoday [4] filemakertoday,redislabs Top Word Pairs in Tweet in G10:
[11] neo4j,neo4jcommunityq [8] neo4jcommunityq,learningneo4j [4] jeremyabramson,neo4j [3] neo4jcommunityq,neo4jgh [3] mesirii,neo4j [3] semanticmw,neo4j [2] developer,survey [2] uses,dashes [2] learningneo4j,neo4j [2] templates,properties Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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 G6:
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:
Top Tweeters in G2:
Top Tweeters in G3:
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: