The graph represents a network of 1,021 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, 06 October 2020 at 05:20 UTC.
The requested start date was Tuesday, 06 October 2020 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, 17-hour, 50-minute period from Tuesday, 22 September 2020 at 00:30 UTC to Monday, 05 October 2020 at 18:21 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 : 1021
Unique Edges : 1199
Edges With Duplicates : 2831
Total Edges : 4030
Number of Edge Types : 5
Retweet : 939
MentionsInRetweet : 1758
Tweet : 318
Mentions : 837
Replies to : 178
Self-Loops : 326
Reciprocated Vertex Pair Ratio : 0.0615545122587376
Reciprocated Edge Ratio : 0.115970515970516
Connected Components : 129
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 830
Maximum Edges in a Connected Component : 3796
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.102776
Graph Density : 0.00195406272205258
Modularity : 0.347712
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,021 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, 06 October 2020 at 05:20 UTC.
The requested start date was Tuesday, 06 October 2020 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, 17-hour, 50-minute period from Tuesday, 22 September 2020 at 00:30 UTC to Monday, 05 October 2020 at 18:21 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:
[94] october,20 [89] #nodes2020,october [61] neo4j,graph [58] graph,database [56] data,science [46] using,#neo4j [44] playing,mitreattack [44] mitreattack,together [44] together,shield [44] shield,neo4j Top Word Pairs in Tweet in G1:
[36] october,20 [35] #nodes2020,october [27] graph,databases [24] try,neo4j [24] neo4j,sure [24] sure,started [24] started,try [24] try,running [24] running,_ [23] reserve,spot Top Word Pairs in Tweet in G2:
[23] october,20 [23] #neo4j,linkurious [20] #nodes2020,october [20] using,#neo4j [19] 400,spreadsheets [19] linkurious,icijorg [19] icijorg,journalists [19] journalists,built [19] built,#knowledgegraph [19] #knowledgegraph,explore Top Word Pairs in Tweet in G3:
[10] nebula,graph [9] graph,algorithms [7] migrate,data [7] data,neo4j [7] neo4j,nebula [6] apache,spark [5] nodes,2020 [4] free,download [4] download,o'reilly [4] o'reilly,graph Top Word Pairs in Tweet in G4:
[23] #apachespark,basics [23] minute,tutorials [23] tutorials,#abdsc [23] #abdsc,#bigdata [23] #bigdata,#datascience [23] #datascience,#ai [20] kirkdborne,#apachespark [15] #ai,#machinelearning [13] basics,ten [13] ten,minute Top Word Pairs in Tweet in G5:
[29] graalvm,native [24] spring,data [22] spring,graalvm [22] native,released [22] released,springboot [22] springboot,m3 [22] m3,baseline [22] baseline,spring [22] data,elasticsearch [22] elasticsearch,neo4j Top Word Pairs in Tweet in G6:
[11] remarkable,never [11] never,met [11] met,person [11] person,somehow [11] somehow,know [11] know,each [11] each,perfectly [11] perfectly,work [11] work,together [11] together,words Top Word Pairs in Tweet in G7:
[44] playing,mitreattack [44] mitreattack,together [44] together,shield [44] shield,neo4j [44] neo4j,graph [44] graph,shows [44] shows,active [44] active,defense [44] defense,techniques [44] techniques,taken Top Word Pairs in Tweet in G8:
[18] nebula,graph [11] next,event [11] data,neo4j [11] neo4j,nebula [10] data,visualization [10] edt,beginner [9] event,data [9] beginner,friendly [8] dataumbrella,next [8] visualization,plotly Top Word Pairs in Tweet in G9:
[6] enterprise,#knowledgegraphs [6] #knowledgegraphs,semaphore [6] semaphore,smartlogic [6] smartlogic,#semanticai [6] #semanticai,platform [6] platform,semaphore [6] semaphore,allows [6] allows,build [5] smartlogic_com,enterprise [5] build,connec Top Word Pairs in Tweet in G10:
[9] data,science [9] machine,learning [8] science,solutions [8] solutions,machine [8] learning,python [8] python,google [8] google,cloud [8] cloud,aws [8] aws,neo4j [8] neo4j,kaggle Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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