The graph represents a network of 903 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, 25 January 2022 at 06:32 UTC.
The requested start date was Tuesday, 25 January 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 11-day, 0-hour, 25-minute period from Tuesday, 11 January 2022 at 01:05 UTC to Saturday, 22 January 2022 at 01:30 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 : 903
Unique Edges : 777
Edges With Duplicates : 1696
Total Edges : 2473
Number of Edge Types : 5
Retweet : 564
MentionsInRetweet : 871
Mentions : 583
Replies to : 265
Tweet : 190
Self-Loops : 217
Reciprocated Vertex Pair Ratio : 0.0699755899104963
Reciprocated Edge Ratio : 0.130798479087452
Connected Components : 108
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 720
Maximum Edges in a Connected Component : 2243
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.767052
Graph Density : 0.0016144755225867
Modularity : 0.397812
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 903 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, 25 January 2022 at 06:32 UTC.
The requested start date was Tuesday, 25 January 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 11-day, 0-hour, 25-minute period from Tuesday, 11 January 2022 at 01:05 UTC to Saturday, 22 January 2022 at 01:30 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:
[149] try,something [149] something,today [140] neo4j,try [123] data,set [116] today,explore [99] easy,started [86] set,#graphdatabase [85] #graphdatabase,sandbox [85] sandbox,easy [84] explore,#panamapapers Top Word Pairs in Tweet in G1:
[143] try,something [143] something,today [134] neo4j,try [121] data,set [115] today,explore [99] easy,started [86] set,#graphdatabase [85] #graphdatabase,sandbox [85] sandbox,easy [84] explore,#panamapapers Top Word Pairs in Tweet in G2:
[21] neo4j,amyhodler [21] amyhodler,markhneedham [20] brilliant,book [20] book,graph [20] graph,algorithms [20] algorithms,practical [20] practical,examples [20] examples,#apachespark [20] #apachespark,neo4j [19] kirkdborne,brilliant Top Word Pairs in Tweet in G3:
[15] google,cloud [12] vertex,ai [10] cloud,vertex [8] use,graphs [8] graphs,smarter [8] smarter,ai [8] ai,neo4j [8] neo4j,google [3] data,science [3] ai,#googlecloud Top Word Pairs in Tweet in G4:
[13] medium,sized [12] maintaining,medium [12] library,2022 [12] 2022,beyond [10] luannem,ikwattro [10] gunnarmorling,maintaining [10] sized,#java [10] #java,library [10] beyond,insightful [10] insightful,guide Top Word Pairs in Tweet in G5:
[15] integrate,neo4j [15] neo4j,pytorch [15] pytorch,geometric [12] realvision,#hiring [12] developer,work [12] work,anywhere [11] data,science [10] science,solutions [10] solutions,machine [10] machine,learning Top Word Pairs in Tweet in G6:
[3] january,2022 [3] 2022,newsletter [3] newsletter,upcoming [3] upcoming,events [3] events,probabilistic [3] probabilistic,programming [3] programming,pymc_devs [3] pymc_devs,github [3] github,actions [3] actions,event Top Word Pairs in Tweet in G7:
[5] tailwindcss,reactjs [5] reactjs,nodejs [5] nodejs,nestframework [5] nestframework,nextjs [5] nextjs,remix_run [4] remix_run,mongodb [4] mongodb,neo4j [3] dsa,awards [3] awards,2021 [3] 2021,winners Top Word Pairs in Tweet in G8:
[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 G9:
[6] data,science [6] graphs,smarter [6] smarter,ai [6] ai,neo4j [6] neo4j,google [6] google,cloud [6] cloud,vertex [6] vertex,ai [4] ai,yes [4] yes,thanks Top Word Pairs in Tweet in G10:
[18] neodash,open [18] open,source [18] source,tool [18] tool,visualizing [18] visualizing,neo4j [18] neo4j,data [18] data,lets [18] lets,group [18] group,visualizations [18] visualizations,together Top Replied-To in Entire Graph:
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Top Replied-To in G4:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: