The graph represents a network of 1,024 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, 01 September 2020 at 05:22 UTC.
The requested start date was Tuesday, 01 September 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, 19-hour, 49-minute period from Tuesday, 18 August 2020 at 02:11 UTC to Monday, 31 August 2020 at 22:00 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 : 1024
Unique Edges : 1159
Edges With Duplicates : 2364
Total Edges : 3523
Number of Edge Types : 5
Mentions : 774
Retweet : 811
MentionsInRetweet : 1394
Replies to : 156
Tweet : 388
Self-Loops : 399
Reciprocated Vertex Pair Ratio : 0.0690476190476191
Reciprocated Edge Ratio : 0.129175946547884
Connected Components : 168
Single-Vertex Connected Components : 121
Maximum Vertices in a Connected Component : 745
Maximum Edges in a Connected Component : 3173
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.992423
Graph Density : 0.00171447336265885
Modularity : 0.381928
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,024 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, 01 September 2020 at 05:22 UTC.
The requested start date was Tuesday, 01 September 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, 19-hour, 49-minute period from Tuesday, 18 August 2020 at 02:11 UTC to Monday, 31 August 2020 at 22:00 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:
[76] data,science [67] graph,data [65] graph,database [63] google,cloud [56] try,something [56] something,today [52] cloud,platform [49] neo4j,try [48] graph,analytics [46] graph,databases Top Word Pairs in Tweet in G1:
[53] try,something [53] something,today [44] neo4j,try [37] today,explore [35] data,set [35] easy,started [33] started,friendly [33] friendly,step [33] step,step [33] step,guide Top Word Pairs in Tweet in G2:
[32] graph,analytics [30] hands,graph [27] data,science [26] graph,data [24] analytics,#neo4j [19] chapters,lyonwj's [19] lyonwj's,brand [18] #fullstack,graphql [16] copy,hands [15] medium,#querylanguage Top Word Pairs in Tweet in G3:
[27] google,cloud [20] cloud,platform [14] neo4j,aura [10] graph,database [9] aura,google [7] data,science [7] bietet,erste [7] erste,einzig [7] einzig,integrierte [6] neo4j,bietet Top Word Pairs in Tweet in G4:
[22] 2020,9am [22] 9am,pdt [20] create,nimble [20] nimble,data [20] data,collection [20] collection,reporting [20] reporting,processes [20] processes,lizdiluzio [20] lizdiluzio,tue [20] tue,25 Top Word Pairs in Tweet in G5:
[11] #py2neo,2020 [11] 2020,released [11] atomfrede,very [11] very,cool [11] cool,see [11] see,different [11] different,oss [11] oss,projects [11] projects,contributors [11] contributors,teaming Top Word Pairs in Tweet in G6:
[10] #apachespark,basics [10] basics,quick [10] quick,10 [10] 10,minute [10] minute,tutorials [10] tutorials,#abdsc [10] #abdsc,#bigdata [10] #bigdata,#datascience [10] #datascience,#ai [8] kirkdborne,#apachespark Top Word Pairs in Tweet in G7:
[5] german,diabetes [5] diabetes,society [5] society,ddg_tweets [5] ddg_tweets,interested [5] interested,diabresearch [5] diabresearch,covidgraph [5] covidgraph,combine [5] combine,highly [4] diabeteszeitung,ddg_tweets [4] #neo4j,#knowledgegraph Top Word Pairs in Tweet in G8:
[3] #ff,#database [3] #database,oracledatabase [3] oracledatabase,sqlserver [3] sqlserver,db2zlabnews [3] db2zlabnews,mysql [3] mysql,postgresql [3] postgresql,mongodb [3] mongodb,teradata [3] teradata,filemakertoday [3] filemakertoday,redislabs Top Word Pairs in Tweet in G9:
[5] mdw_warszawa,micha01050441 [5] micha01050441,micha31628297 [5] micha31628297,michalg__ [5] michalg__,mierzodkiewka [5] mierzodkiewka,mikolaj66 [5] mkljczk,mmejker [5] mmejker,morean92 [4] hvbsvn,mdw_warszawa [4] mikolaj66,minarchistapol [4] minarchistapol,mkljczk Top Word Pairs in Tweet in G10:
[9] download,o'reilly [9] o'reilly,graph [9] graph,algorithms [9] algorithms,graph [9] graph,data [9] data,science [9] science,content [9] content,before [9] before,offer [9] offer,ends Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: