The graph represents a network of 1,208 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, 15 June 2021 at 05:17 UTC.
The requested start date was Tuesday, 15 June 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, 23-hour, 7-minute period from Tuesday, 01 June 2021 at 00:01 UTC to Monday, 14 June 2021 at 23:09 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 : 1208
Unique Edges : 772
Edges With Duplicates : 2851
Total Edges : 3623
Number of Edge Types : 5
Tweet : 291
Retweet : 1061
MentionsInRetweet : 1377
Mentions : 659
Replies to : 235
Self-Loops : 295
Reciprocated Vertex Pair Ratio : 0.0472292191435768
Reciprocated Edge Ratio : 0.090198436560433
Connected Components : 119
Single-Vertex Connected Components : 72
Maximum Vertices in a Connected Component : 1000
Maximum Edges in a Connected Component : 3382
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.027206
Graph Density : 0.0011405597590216
Modularity : 0.350777
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,208 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, 15 June 2021 at 05:17 UTC.
The requested start date was Tuesday, 15 June 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, 23-hour, 7-minute period from Tuesday, 01 June 2021 at 00:01 UTC to Monday, 14 June 2021 at 23:09 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:
[270] try,something [270] something,today [262] neo4j,try [207] today,explore [176] data,set [170] graph,database [150] easy,started [144] jaguar,land [113] #graphdatabase,sandbox [112] set,#graphdatabase Top Word Pairs in Tweet in G1:
[252] try,something [252] something,today [244] neo4j,try [203] today,explore [170] data,set [146] easy,started [111] set,#graphdatabase [110] #graphdatabase,sandbox [110] sandbox,easy [109] explore,#panamapapers Top Word Pairs in Tweet in G2:
[19] nodes,2021 [17] #neo4j's,#graph [17] #graph,#datascience [17] #datascience,library [17] library,ga [17] check,blog [17] blog,overview [17] overview,algorithms [16] aliciaframe1,#neo4j's [15] data,science Top Word Pairs in Tweet in G3:
[134] jaguar,land [134] graph,database [73] car,manufacturer [73] manufacturer,jaguar [73] land,rover [73] rover,rejected [73] rejected,leading [73] leading,graph [73] database,neo4j [73] neo4j,over Top Word Pairs in Tweet in G4:
[10] graph,algorithms [5] free,download [5] download,o'reilly [5] o'reilly,graph [5] algorithms,book [5] book,includes [5] includes,hands [5] hands,examples [5] examples,use [5] use,graph Top Word Pairs in Tweet in G5:
[4] save,spot [4] spot,learn [4] learn,more [4] more,wide [4] wide,range [4] range,possibilities [4] amazon,neptune [4] neptune,#anzograph [4] #anzograph,datastax [4] datastax,graph_stack Top Word Pairs in Tweet in G6:
[36] building,graphql [34] graphql,api [34] api,spring [34] spring,boot [34] boot,neo4j [34] neo4j,#kong [34] #kong,#graphql [34] #graphql,#apis [34] #apis,#springboot [34] #springboot,#neo4j Top Word Pairs in Tweet in G7:
[14] 이번학기,#한문학과데이터큐레이션 [14] #한문학과데이터큐레이션,강의에서 [14] 강의에서,금오신화 [14] 금오신화,와 [14] 와,전등신화 [14] 전등신화,비교 [14] 비교,연구를 [14] 연구를,수행한 [14] 수행한,학생이 [14] 학생이,그려낸 Top Word Pairs in Tweet in G8:
[20] twitchverse,network [20] network,analysis [20] analysis,twitch [20] twitch,universe [20] universe,using [20] using,neo4j [20] neo4j,graph [20] graph,data [20] data,science [20] science,tomaz Top Word Pairs in Tweet in G9:
[20] twitchverse,network [20] network,analysis [20] analysis,twitch [20] twitch,universe [20] universe,using [20] using,neo4j [20] neo4j,graph [20] graph,#datascience [19] doxyaxone,twitchverse [15] #datascience,#python Top Word Pairs in Tweet in G10:
[38] barrasadv,neo4j [13] kgc_workshop,barrasadv [10] neo4j,juansequeda [9] neo4j,jesus' [9] jesus',observation [8] few,insights [8] insights,one [8] one,kg [8] kg,db [8] db,industry Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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 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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: