The graph represents a network of 1,240 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, 08 February 2022 at 06:32 UTC.
The requested start date was Tuesday, 08 February 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, 2-minute period from Tuesday, 25 January 2022 at 01:45 UTC to Tuesday, 08 February 2022 at 00:48 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 : 1240
Unique Edges : 1011
Edges With Duplicates : 2915
Total Edges : 3926
Number of Edge Types : 5
Retweet : 982
MentionsInRetweet : 1370
Replies to : 276
Tweet : 242
Mentions : 1056
Self-Loops : 263
Reciprocated Vertex Pair Ratio : 0.0652883569096844
Reciprocated Edge Ratio : 0.122574055158325
Connected Components : 112
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 1062
Maximum Edges in a Connected Component : 3711
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.894866
Graph Density : 0.00127444088625062
Modularity : 0.393535
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,240 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, 08 February 2022 at 06:32 UTC.
The requested start date was Tuesday, 08 February 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, 2-minute period from Tuesday, 25 January 2022 at 01:45 UTC to Tuesday, 08 February 2022 at 00:48 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:
[213] try,something [213] something,today [202] neo4j,try [176] data,set [170] today,explore [144] easy,started [130] set,#graphdatabase [129] #graphdatabase,sandbox [129] sandbox,easy [128] explore,#panamapapers Top Word Pairs in Tweet in G1:
[210] try,something [210] something,today [199] neo4j,try [175] data,set [167] today,explore [143] easy,started [129] set,#graphdatabase [128] #graphdatabase,sandbox [128] sandbox,easy [127] explore,#panamapapers Top Word Pairs in Tweet in G2:
[21] building,neo4j [21] neo4j,applications [17] testcontainers,live [16] graph,database [14] live,stream [14] make,graph [14] graph,words [14] neo4j,live [12] probably,late [12] late,game Top Word Pairs in Tweet in G3:
[79] goodhound,uses [79] uses,sharphound [79] sharphound,bloodhound [79] bloodhound,neo4j [79] neo4j,produce [79] produce,actionable [79] actionable,list [79] list,attack [79] attack,paths [79] paths,targeted Top Word Pairs in Tweet in G4:
[30] maven,plugin [26] neo4j,migrations [26] migrations,maven [17] neo4j,neo4j [16] plugin,version [13] release,neo4j [13] version,eu [13] eu,michael [13] michael,simons [13] simons,neo4j Top Word Pairs in Tweet in G5:
[29] amazing,see [29] see,finally [29] finally,print [29] print,use [29] use,#neo4j [29] #neo4j,#knowledge_graph [29] #knowledge_graph,interpret [29] interpret,clinical [28] albsantosdel,amazing [25] clinical,#massâ Top Word Pairs in Tweet in G6:
[15] seen,neo4j [15] neo4j,driver [15] driver,javascript [15] javascript,#neo4j [15] #graphdatabase,#javascript [13] #neo4j,#twin4jâ [13] #twin4jâ,#graphdatabase [10] #100daysofcode,day [10] day,13 [10] 13,took Top Word Pairs in Tweet in G7:
[34] topologicbim,neo4j [15] neo4j,graph [15] brunopostle,neo4j [13] arquitextonica,brunopostle [13] brunopostle,topologicbim [12] graph,database [11] arquitextonica,neo4j [9] arquitextonica,topologicbim [8] using,neo4j [8] geometric,topologic Top Word Pairs in Tweet in G8:
[34] really,trend [34] trend,process [34] process,driven [34] driven,blogs [34] blogs,over [34] over,results [34] results,driven [34] driven,ones [34] ones,especially [34] especially,include Top Word Pairs in Tweet in G9:
[13] uses,sharphound [13] sharphound,bloodhound [13] bloodhound,neo4j [13] neo4j,produce [13] produce,actionable [13] actionable,list [13] list,attack [13] attack,paths [13] paths,targeted [12] targeted,remediation Top Word Pairs in Tweet in G10:
[15] sized,#neo4j [14] bite,sized [11] brilliant,book [11] book,graph [11] graph,algorithms [11] algorithms,practical [11] practical,examples [11] examples,#apachespark [11] #apachespark,neo4j [11] neo4j,amyhodler 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:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: