The graph represents a network of 1,107 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, 17 May 2022 at 05:31 UTC.
The requested start date was Tuesday, 17 May 2022 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, 23-hour, 30-minute period from Tuesday, 03 May 2022 at 00:14 UTC to Monday, 16 May 2022 at 23:44 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 : 1107
Unique Edges : 772
Edges With Duplicates : 2097
Total Edges : 2869
Number of Edge Types : 5
Retweet : 864
MentionsInRetweet : 1133
Replies to : 182
Mentions : 439
Tweet : 251
Self-Loops : 275
Reciprocated Vertex Pair Ratio : 0.0406386066763425
Reciprocated Edge Ratio : 0.0781032078103208
Connected Components : 123
Single-Vertex Connected Components : 90
Maximum Vertices in a Connected Component : 929
Maximum Edges in a Connected Component : 2670
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.009292
Graph Density : 0.00117124136883322
Modularity : 0.395305
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,107 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, 17 May 2022 at 05:31 UTC.
The requested start date was Tuesday, 17 May 2022 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, 23-hour, 30-minute period from Tuesday, 03 May 2022 at 00:14 UTC to Monday, 16 May 2022 at 23:44 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:
[219] graph,databases [176] try,something [176] something,today [167] neo4j,try [150] today,explore [139] data,set [127] graph,algorithms [125] easy,started [124] power,graph [121] #neo4j,#graphdatabase Top Word Pairs in Tweet in G1:
[172] try,something [172] something,today [163] neo4j,try [146] today,explore [135] data,set [122] easy,started [107] set,#graphdatabase [106] #graphdatabase,sandbox [106] sandbox,easy [105] explore,#panamapapers Top Word Pairs in Tweet in G2:
[108] graph,databases [107] power,graph [107] databases,#graphdb [107] #graphdb,#linkeddata [107] #linkeddata,graph [107] graph,algorithms [107] algorithms,world [107] world,graph [106] kirkdborne,power [3] tdatascience,extract Top Word Pairs in Tweet in G3:
[61] information,extraction [60] extraction,pipeline [60] pipeline,spacy [58] knowledge,text [58] text,end [58] end,end [58] end,information [55] extract,knowledge [42] spacy,neo4j [28] latest,blog Top Word Pairs in Tweet in G4:
[11] text,end [11] end,end [11] end,information [11] information,extraction [11] extraction,pipeline [11] spacy,neo4j [10] extract,knowledge [10] knowledge,text [10] pipeline,spacy [5] neo4j,appoints Top Word Pairs in Tweet in G5:
[9] neo4j,ogm [9] graph,databases [8] next,week [8] data,science [8] recommendation,engine [8] naive,bayes [6] graph,data [6] neo4j,go [6] jmhreif,join [6] databases,neo4j Top Word Pairs in Tweet in G6:
[21] knowledge,graphs [17] #neo4j,#graphdatabase [10] graph,data [9] customers,nasa [9] nasa,use [9] use,knowledge [9] graphs,complex [9] complex,decision [9] decision,making [9] making,meet Top Word Pairs in Tweet in G7:
[2] #ff,#database [2] #database,oracledatabase [2] oracledatabase,sqlserver [2] sqlserver,db2zlabnews [2] db2zlabnews,mysql [2] mysql,postgresql [2] postgresql,mongodb [2] mongodb,teradata [2] teradata,filemakertoday [2] filemakertoday,redisinc Top Word Pairs in Tweet in G8:
[8] export,data [8] data,neo4j [7] apache,hop [5] neo4j,database [5] featured,community [5] community,member [4] minutes,export [4] neo4j,apachehop [4] apachehop,discover [4] discover,export Top Word Pairs in Tweet in G9:
[12] upcoming,event [11] 2022,9am [11] 9am,pt [11] pt,12pm [11] 12pm,7pm [11] 7pm,eat [11] eat,30pm [10] dataumbrella,upcoming [10] event,contributing [10] contributing,scipy Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: