The graph represents a network of 836 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, 13 October 2020 at 05:20 UTC.
The requested start date was Tuesday, 13 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, 18-hour, 21-minute period from Tuesday, 29 September 2020 at 00:03 UTC to Monday, 12 October 2020 at 18:24 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 : 836
Unique Edges : 962
Edges With Duplicates : 2340
Total Edges : 3302
Number of Edge Types : 5
Replies to : 140
Mentions : 646
Tweet : 304
Retweet : 792
MentionsInRetweet : 1420
Self-Loops : 313
Reciprocated Vertex Pair Ratio : 0.0717079530638853
Reciprocated Edge Ratio : 0.1338199513382
Connected Components : 118
Single-Vertex Connected Components : 77
Maximum Vertices in a Connected Component : 645
Maximum Edges in a Connected Component : 3042
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.855817
Graph Density : 0.00235509841560897
Modularity : 0.322138
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 836 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, 13 October 2020 at 05:20 UTC.
The requested start date was Tuesday, 13 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, 18-hour, 21-minute period from Tuesday, 29 September 2020 at 00:03 UTC to Monday, 12 October 2020 at 18:24 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:
[95] october,20 [62] #nodes2020,october [61] data,science [50] developer,summit [48] oct,20 [44] join,tues [44] tues,oct [44] 20,neo4j's [43] graph,databases [43] community,partner Top Word Pairs in Tweet in G1:
[35] october,20 [27] #endsars,#endsars [24] something,today [23] try,something [22] #nodes2020,october [21] data,science [20] graph,databases [20] fbiville,neo4j [19] graph,data [18] week's,#twin4j Top Word Pairs in Tweet in G2:
[24] october,20 [16] graph,data [16] data,science [15] #nodes2020,largest [15] largest,graph [15] top,10 [15] 10,speakers [15] speakers,look [15] nodes,2020 [14] graph,app Top Word Pairs in Tweet in G3:
[43] ãƒ,ム[7] iotmap,research [7] research,project [7] project,heterogeneous [7] heterogeneous,iot [7] iot,protocols [7] protocols,modelling [6] graph,algorithms [6] ãƒ,æ [6] modelling,#iotmap Top Word Pairs in Tweet in G4:
[24] oct,20 [24] developer,summit [23] machine,learning [23] excited,community [23] community,partner [23] partner,#nodes2020 [23] #nodes2020,join [23] join,tues [23] tues,oct [23] 20,neo4j's Top Word Pairs in Tweet in G5:
[11] work,together [10] remarkable,never [10] never,met [10] met,person [10] person,somehow [10] somehow,know [10] know,each [10] each,perfectly [10] perfectly,work [10] together,words Top Word Pairs in Tweet in G6:
[16] #nodes2020,october [16] october,20 [16] save,date [16] date,20 [16] 20,10 [16] 10,20 [16] 20,#nodes2020 [14] agilelarus,save [14] #nodes2020,santand84 [14] santand84,cto Top Word Pairs in Tweet in G7:
[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,redislabs Top Word Pairs in Tweet in G8:
[7] alessandronegro,neo4j [6] neo4j,fixing [6] fixing,#microservices [6] #microservices,architecture [6] architecture,using [6] using,graph [6] graph,analysis [6] analysis,nodes [6] nodes,2019 [6] 2019,talk Top Word Pairs in Tweet in G9:
[10] build,authentication [10] authentication,#vue3 [10] #vue3,application [10] application,adamcowley [10] adamcowley,thepracticaldev [10] thepracticaldev,#typescript [10] #typescript,#frontend [10] #frontend,#webdev [7] #webdev,#dormosheio [6] dev,job Top Word Pairs in Tweet in G10:
[9] icijorg,spent [9] spent,16 [9] 16,months [9] months,buzzfeednews [9] buzzfeednews,#media [9] #media,partners [9] partners,organizing [9] organizing,analyzing [9] analyzing,#fincenfiles [9] #fincenfiles,using Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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