The graph represents a network of 1,135 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, 23 June 2020 at 05:21 UTC.
The requested start date was Tuesday, 23 June 2020 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, 3-hour, 13-minute period from Tuesday, 09 June 2020 at 02:00 UTC to Monday, 22 June 2020 at 05:13 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 : 1135
Unique Edges : 989
Edges With Duplicates : 2594
Total Edges : 3583
Number of Edge Types : 5
Replies to : 144
Mentions : 633
Tweet : 319
Retweet : 961
MentionsInRetweet : 1526
Self-Loops : 326
Reciprocated Vertex Pair Ratio : 0.053664166185805
Reciprocated Edge Ratio : 0.101861993428258
Connected Components : 133
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 875
Maximum Edges in a Connected Component : 3213
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.284991
Graph Density : 0.00141870420871889
Modularity : 0.381928
NodeXL Version : 1.0.1.434
Data Import : The graph represents a network of 1,135 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, 23 June 2020 at 05:21 UTC.
The requested start date was Tuesday, 23 June 2020 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, 3-hour, 13-minute period from Tuesday, 09 June 2020 at 02:00 UTC to Monday, 22 June 2020 at 05:13 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 G2:
[46] graph,powered [46] free,ebook [43] #ai,#neo4j [39] gp_pulipaka,free [35] ebook,graph [34] powered,#machinelearning [34] #machinelearning,#bigdata [34] #bigdata,#analytics [34] #analytics,#datascience [34] #datascience,#ai Top Word Pairs in Tweet in G3:
[108] join,karinwolok [67] karinwolok,program [66] program,manager [66] manager,community [65] community,#development [65] #development,#neo4j [65] women,tech [65] tech,virtual [65] virtual,conference [65] part,building Top Word Pairs in Tweet in G4:
[18] saturday,project [18] project,wip [18] wip,doc [18] doc,#bloodhound [18] #bloodhound,cypher [18] cypher,queries [18] queries,community [18] community,yaml [18] yaml,auto [13] auto,parse Top Word Pairs in Tweet in G5:
[67] step,step [67] step,neo4j [67] installation,guide [67] neo4j,database [67] neo4j,desktop [67] graph,databases [67] linux,installation [67] modeling,diffusion [67] diffusion,innovations [67] innovations,neo4j Top Word Pairs in Tweet in G6:
[30] microservices,practice [30] practice,developing [30] developing,instagram [19] instagram,clone [15] clone,graph [13] graph,service [10] service,amr [6] amr,khaled [6] khaled,#java [6] javinpaul,microservices Top Word Pairs in Tweet in G7:
[13] another,steady [13] steady,day [13] day,progress [13] progress,development [13] development,many [13] many,things [13] things,26 [13] 26,100 [13] 100,#100daysofcode [12] #100daysofcode,#java Top Word Pairs in Tweet in G8:
[23] wi,fi [23] fi,data [23] turns,find [23] find,pretty [23] pretty,interesting [23] interesting,patterns [23] patterns,wi [23] data,using [23] using,ksqldb [23] ksqldb,elastic Top Word Pairs in Tweet in G9:
[12] neo4j,docker [12] working,butt [11] butt,refactor [11] refactor,apps [11] apps,porting [11] porting,golang [11] golang,python [11] python,seeing [11] seeing,vast [11] vast,improvements Top Word Pairs in Tweet in G10:
[3] stanfordで行われているknowledge,graphの講座 [3] graphの講座,体系的なコースというよりは様々なトピックのアラカルトになっていて [3] 体系的なコースというよりは様々なトピックのアラカルトになっていて,neo4j [3] neo4j,グラフdb [3] グラフdb,や実用の知識グラフで問題になる不完全edgeの補完 [3] icoxfog417,stanfordで行われているknowledge [3] や実用の知識グラフで問題になる不完全edgeの補完,トリプルのembeddingや強化学 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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