The graph represents a network of 867 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, 16 February 2021 at 06:17 UTC.
The requested start date was Tuesday, 16 February 2021 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 13-day, 20-hour, 30-minute period from Tuesday, 02 February 2021 at 03:54 UTC to Tuesday, 16 February 2021 at 00:24 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 : 867
Unique Edges : 854
Edges With Duplicates : 2264
Total Edges : 3118
Number of Edge Types : 5
Retweet : 725
MentionsInRetweet : 1180
Mentions : 722
Replies to : 189
Tweet : 302
Self-Loops : 309
Reciprocated Vertex Pair Ratio : 0.0606916019760056
Reciprocated Edge Ratio : 0.114437791084498
Connected Components : 129
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 678
Maximum Edges in a Connected Component : 2900
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.050131
Graph Density : 0.00200180602060142
Modularity : 0.358391
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 867 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, 16 February 2021 at 06:17 UTC.
The requested start date was Tuesday, 16 February 2021 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 13-day, 20-hour, 30-minute period from Tuesday, 02 February 2021 at 03:54 UTC to Tuesday, 16 February 2021 at 00:24 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:
[102] neo4j,using [86] using,#python [79] create,#graph [73] #graph,#database [72] #database,neo4j [72] graph,database [70] #python,#ai [70] #ai,#ml [70] #ml,#datascience [70] #datascience,#data Top Word Pairs in Tweet in G1:
[47] graph,databases [31] #neo4j,#graphdatabases [28] neo4j,using [27] create,#graph [27] using,#python [26] nancytr83158469,create [26] #graph,#database [26] #database,neo4j [26] #python,#ai [26] #ai,#ml Top Word Pairs in Tweet in G2:
[35] machine,learning [32] data,science [26] graph,data [25] natural,language [25] language,processing [24] data,pipeline [23] making,sense [23] create,news [23] news,monitoring [23] monitoring,data Top Word Pairs in Tweet in G3:
[19] graph,database [7] database,neo4j [7] cloud,graph [6] ãƒ,ム[6] unveils,cloud [6] database,enterprise [6] enterprise,eric [6] eric,avidon [6] avidon,#dsc_techtarget [6] #dsc_techtarget,#dsc_hash_smama Top Word Pairs in Tweet in G4:
[18] neo4j,using [15] #neo4j,#graphdatabase [15] graph,database [14] check,latest [14] latest,work [14] work,jcim_acs [14] jcim_acs,developed [14] developed,#python [14] #python,library [14] library,combining Top Word Pairs in Tweet in G5:
[13] neo4j,aura [10] use,neo4j [10] aura,available [9] neo4j,graalvm [9] available,gcpcloud [9] gcpcloud,console [9] console,launch [9] launch,best [9] best,#graph [9] #graph,database Top Word Pairs in Tweet in G6:
[6] oracledatabase,sqlserver [6] sqlserver,db2zlabnews [6] db2zlabnews,mysql [6] mysql,postgresql [6] postgresql,mongodb [6] mongodb,teradata [6] teradata,filemakertoday [6] filemakertoday,redislabs [4] #ff,#database [4] #database,oracledatabase Top Word Pairs in Tweet in G7:
[10] year,award [8] zoom_us,zapier [5] 2021,technology [5] technology,year [5] check,infoworld's [5] infoworld's,tech [5] tech,year [5] award,winners [5] winners,featuring [5] featuring,zoom_us Top Word Pairs in Tweet in G8:
[31] create,#graph [31] #graph,#database [31] #database,neo4j [31] neo4j,using [31] using,#python [31] #python,#ai [31] #ai,#ml [31] #ml,#datascience [31] #datascience,#data [31] #data,#tech Top Word Pairs in Tweet in G9:
[17] al_grigor,neo4j [10] mesirii,al_grigor [7] lukaseder,al_grigor [7] springdata,neo4j [5] paulie_js,neo4j [5] rotnroll666,mesirii [4] more,springdata [4] cypher,dsl [4] mesirii,lukaseder [3] agg,agg Top Word Pairs in Tweet in G10:
[5] congrats,emileifrem [5] emileifrem,gang [5] gang,#neo4j [5] #neo4j,ga [5] ga,aura [5] aura,gcp [5] gcp,graph [5] graph,cloud [5] cloud,course [5] codexeditor,neo4j 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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