The graph represents a network of 758 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, 12 July 2022 at 05:30 UTC.
The requested start date was Tuesday, 12 July 2022 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, 7-minute period from Tuesday, 28 June 2022 at 00:51 UTC to Monday, 11 July 2022 at 22:59 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 : 758
Unique Edges : 483
Edges With Duplicates : 1613
Total Edges : 2096
Number of Edge Types : 5
Tweet : 262
Mentions : 461
Retweet : 563
MentionsInRetweet : 698
Replies to : 112
Self-Loops : 274
Reciprocated Vertex Pair Ratio : 0.0557377049180328
Reciprocated Edge Ratio : 0.105590062111801
Connected Components : 107
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 529
Maximum Edges in a Connected Component : 1761
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.096839
Graph Density : 0.00168349581565895
Modularity : 0.372533
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 758 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, 12 July 2022 at 05:30 UTC.
The requested start date was Tuesday, 12 July 2022 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, 7-minute period from Tuesday, 28 June 2022 at 00:51 UTC to Monday, 11 July 2022 at 22:59 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:
[126] #neo4j,#bigdata [126] #bigdata,#analytics [126] #analytics,#datascience [114] #iot,#iiot [114] #iiot,#pytorch [114] #pytorch,#python [114] #python,#rstats [108] graphs,using [107] graph,databases [104] using,#neo4j Top Word Pairs in Tweet in G1:
[94] certified,neo4j [94] neo4j,today [94] today,show [94] show,expertise [94] expertise,graph [94] graph,databases [94] databases,employer [94] employer,potential [94] potential,clients [94] clients,free Top Word Pairs in Tweet in G2:
[33] data,science [31] graph,data [22] #neo4j,#graphsummit [18] #neo4j,#graphdatabase [16] neo4j,graph [15] machine,learning [12] #neo4j,#graphdatascience [11] graphsummit,business [11] use,neo4j [10] learn,use Top Word Pairs in Tweet in G3:
[126] #neo4j,#bigdata [126] #bigdata,#analytics [126] #analytics,#datascience [114] #iot,#iiot [114] #iiot,#pytorch [114] #pytorch,#python [114] #python,#rstats [101] graphs,using [101] using,#neo4j [101] #datascience,#ai Top Word Pairs in Tweet in G4:
[16] ãƒ,ム[13] graph,database [9] neo4j,graph [7] graph,databases [6] designer,women [6] install,configure [6] configure,query [6] query,graph [6] databases,neo4j [6] neo4j,tiger Top Word Pairs in Tweet in G5:
[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 G6:
[6] ops,manager [5] neo4j,#neo4j [5] #neo4j,ops [5] manager,team [5] team,using [5] using,jreleaser [5] jreleaser,publish [5] publish,internal [5] internal,releases [5] releases,brand Top Word Pairs in Tweet in G7:
[26] blog,experiences [26] experiences,importing [26] importing,querying [26] querying,large [26] large,#bloodhound [26] #bloodhound,datasets [26] datasets,using [26] using,neo4j's [26] neo4j's,cypher [26] cypher,query Top Word Pairs in Tweet in G8:
[7] use,neo4j [5] #dotnet,developer [5] developer,interested [5] interested,learning [5] learning,neo4j [5] neo4j,learn [5] learn,install [5] install,use [5] neo4j,net [5] net,driver Top Word Pairs in Tweet in G9:
[9] here's,outreach's [9] outreach's,main [9] main,clients [9] clients,trint [9] trint,brighttalk [9] brighttalk,workato [9] workato,adroll [9] adroll,jitterbit [9] jitterbit,neo4j [9] neo4j,know Top Word Pairs in Tweet in G10:
[2] howzit,corneil [2] corneil,johannesburg [2] johannesburg,south [2] south,africa [2] africa,staff [2] staff,software [2] software,engineer [2] engineer,springcloud [2] springcloud,springcentral [2] springcentral,vmwaretanzu Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: