The graph represents a network of 1,164 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 Friday, 25 October 2019 at 23:24 UTC.
The requested start date was Wednesday, 23 October 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 32-minute period from Wednesday, 09 October 2019 at 00:05 UTC to Tuesday, 22 October 2019 at 23:38 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 : 1164
Unique Edges : 2094
Edges With Duplicates : 1917
Total Edges : 4011
Number of Edge Types : 3
Mentions : 3106
Replies to : 257
Tweet : 648
Self-Loops : 648
Reciprocated Vertex Pair Ratio : 0.0990052108005685
Reciprocated Edge Ratio : 0.180172413793103
Connected Components : 164
Single-Vertex Connected Components : 118
Maximum Vertices in a Connected Component : 932
Maximum Edges in a Connected Component : 3760
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.122648
Graph Density : 0.00171378086652306
Modularity : 0.365315
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,164 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 Friday, 25 October 2019 at 23:24 UTC.
The requested start date was Wednesday, 23 October 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 32-minute period from Wednesday, 09 October 2019 at 00:05 UTC to Tuesday, 22 October 2019 at 23:38 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[162] neo4j,#nodes2019 [161] cypher,queries [155] releasing,bloodhound [155] bloodhound,helper [155] helper,tool [155] tool,cypheroth [155] cypheroth,helps [155] helps,save [155] save,time [155] time,spent Top Word Pairs in Tweet in G1:
[60] neo4j,#nodes2019 [49] online,developer [42] #nodes2019,online [35] developer,conference [24] 00,13 [24] 13,00 [22] graph,algorithms [20] check,out [19] tickets,here [18] 00,cest Top Word Pairs in Tweet in G2:
[151] releasing,bloodhound [151] bloodhound,helper [151] helper,tool [151] tool,cypheroth [151] cypheroth,helps [151] helps,save [151] save,time [151] time,spent [151] spent,running [151] running,bloodhound Top Word Pairs in Tweet in G3:
[45] neo4j,#nodes2019 [38] #nodes2019,online [34] online,developer [25] #nodes2019,keynote [24] developer,conference [20] oct,10 [19] #neo4j,#nodes2019 [19] conference,oct [16] neo4j,emileifrem [15] ceo,emileifrem Top Word Pairs in Tweet in G4:
[13] neo4j,equips [13] graphing,teaching [13] teaching,tools [12] equips,educators [11] educators,data [11] data,graphing [8] neo4j,graph [7] graph,database [7] graph,algorithms [4] online,developer Top Word Pairs in Tweet in G5:
[36] graph,algorithms [27] amyhodler,markhneedham [27] #datascience,#ai [24] great,book [24] book,graph [24] algorithms,practical [24] practical,examples [24] examples,#apachespark [24] #apachespark,neo4j [24] neo4j,amyhodler Top Word Pairs in Tweet in G6:
[26] neo4j,#nodes2019 [24] #nodes2019,online [12] tips,tricks [12] online,developer [12] rotnroll666,absolutely [12] absolutely,love [12] love,jqassistant [12] jqassistant,dashboard [12] dashboard,1 [12] 1,7 Top Word Pairs in Tweet in G7:
[36] neo4j,cypher [22] scheme,'none' [21] improving,neo4j [21] neo4j,ogm [21] ogm,performance [21] performance,#bigdata [21] #bigdata,#analytics [21] #analytics,#nosql [21] #nosql,#neo4j [21] #neo4j,#datascience Top Word Pairs in Tweet in G8:
[121] new,#neo4j [121] #neo4j,community [121] community,post [11] post,global [11] global,graphhack [9] equips,educators [9] educators,data [9] data,graphing [9] graphing,teaching [9] teaching,tools Top Word Pairs in Tweet in G9:
[8] jakarta,nosql [8] nosql,specification [8] specification,jakarta [8] jakarta,ee [8] ee,helps [8] helps,devs [8] devs,create [8] create,enterprise [8] enterprise,grade [8] grade,apps Top Word Pairs in Tweet in G10:
[9] remember,6 [9] 6,degrees [9] degrees,kevin [9] kevin,bacon [9] bacon,site [9] site,sort [9] sort,connecting [9] connecting,musical [9] musical,artists [8] ducktapesfm,remember 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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