The graph represents a network of 1,025 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 Thursday, 08 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, 22-hour, 34-minute period from Tuesday, 22 September 2020 at 00:30 UTC to Monday, 05 October 2020 at 23:05 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 : 1025
Unique Edges : 1202
Edges With Duplicates : 2857
Total Edges : 4059
Number of Edge Types : 5
Mentions : 839
Retweet : 949
MentionsInRetweet : 1769
Tweet : 324
Replies to : 178
Self-Loops : 332
Reciprocated Vertex Pair Ratio : 0.0612350804359107
Reciprocated Edge Ratio : 0.115403422982885
Connected Components : 130
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 833
Maximum Edges in a Connected Component : 3824
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.099839
Graph Density : 0.0019483612804878
Modularity : 0.346868
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,025 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 Thursday, 08 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, 22-hour, 34-minute period from Tuesday, 22 September 2020 at 00:30 UTC to Monday, 05 October 2020 at 23:05 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 [60] graph,database [57] data,science [46] using,#neo4j [44] playing,mitreattack [44] mitreattack,together [44] together,shield [44] shield,neo4j Top Word Pairs in Tweet in G1:
[42] october,20 [41] #nodes2020,october [27] graph,databases [24] graph,database [24] neo4j,today [23] reserve,spot [22] data,science [21] certified,neo4j [21] today,show [21] show,expertise Top Word Pairs in Tweet in G2:
[25] #neo4j,linkurious [21] using,#neo4j [20] linkurious,icijorg [20] icijorg,journalists [20] journalists,built [20] built,#knowledgegraph [20] #knowledgegraph,explore [20] explore,more [20] more,400 [20] 400,spreadsheets Top Word Pairs in Tweet in G3:
[24] #apachespark,basics [24] minute,tutorials [24] tutorials,#abdsc [24] #abdsc,#bigdata [24] #bigdata,#datascience [24] #datascience,#ai [21] kirkdborne,#apachespark [17] machine,learning [16] #ai,#machinelearning [15] #nodes2020,october Top Word Pairs in Tweet in G4:
[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 G5:
[30] graalvm,native [25] spring,data [23] spring,graalvm [23] native,released [23] released,springboot [23] springboot,m3 [23] m3,baseline [23] baseline,spring [23] data,elasticsearch [23] 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:
[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 G9:
[9] nsmith_piano,medium [8] neo4j,means [8] means,clustering [8] clustering,#neo4j [8] #neo4j,nathan [8] nathan,smith [8] smith,nsmith_piano [8] medium,#algorithms [8] #algorithms,#clustering [8] #clustering,#d 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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