The graph represents a network of 1,224 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, 22 March 2022 at 05:33 UTC.
The requested start date was Tuesday, 22 March 2022 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, 22-hour, 58-minute period from Tuesday, 08 March 2022 at 00:09 UTC to Monday, 21 March 2022 at 23:07 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 : 1224
Unique Edges : 956
Edges With Duplicates : 2464
Total Edges : 3420
Number of Edge Types : 5
Retweet : 945
MentionsInRetweet : 1323
Replies to : 197
Mentions : 599
Tweet : 356
Self-Loops : 373
Reciprocated Vertex Pair Ratio : 0.0481927710843374
Reciprocated Edge Ratio : 0.0919540229885057
Connected Components : 156
Single-Vertex Connected Components : 113
Maximum Vertices in a Connected Component : 1005
Maximum Edges in a Connected Component : 3179
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.276499
Graph Density : 0.00116236191942026
Modularity : 0.399906
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,224 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, 22 March 2022 at 05:33 UTC.
The requested start date was Tuesday, 22 March 2022 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, 22-hour, 58-minute period from Tuesday, 08 March 2022 at 00:09 UTC to Monday, 21 March 2022 at 23:07 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:
[174] try,something [174] something,today [166] neo4j,try [152] data,set [149] graph,databases [146] uses,sharphound [146] sharphound,bloodhound [146] bloodhound,neo4j [145] goodhound,uses [144] today,explore Top Word Pairs in Tweet in G1:
[160] try,something [160] something,today [151] neo4j,try [146] data,set [138] today,explore [133] easy,started [123] set,#graphdatabase [122] #graphdatabase,sandbox [122] sandbox,easy [121] explore,#panamapapers Top Word Pairs in Tweet in G2:
[22] neo4j,vs [22] vs,purethink [21] open,source [21] source,initiative [21] initiative,win [21] win,neo4j [18] uses,sharphound [18] sharphound,bloodhound [18] bloodhound,neo4j [18] produce,actionable Top Word Pairs in Tweet in G3:
[33] knowledge,graph [33] neo4j,amyhodler [33] amyhodler,markhneedham [30] brilliant,book [30] book,graph [30] graph,algorithms [30] algorithms,practical [30] practical,examples [30] examples,#apachespark [30] #apachespark,neo4j Top Word Pairs in Tweet in G4:
[25] graph,databases [21] under,hood [19] series,premiere [19] learn,graph [18] premiere,learn [18] databases,improve [18] improve,way [18] way,developers [18] developers,data [18] data,scientists Top Word Pairs in Tweet in G5:
[57] goodhound,uses [57] uses,sharphound [57] sharphound,bloodhound [57] bloodhound,neo4j [57] neo4j,produce [57] produce,actionable [57] actionable,list [57] list,attack [57] attack,paths [57] paths,targeted Top Word Pairs in Tweet in G6:
[6] under,hood [6] knowledge,graph [6] nodexl,neo4j [5] welcome,under [5] hood,each [5] each,episode [5] episode,led [5] led,neo4j [5] neo4j,engineers [5] engineers,tech Top Word Pairs in Tweet in G7:
[6] graph,databases [6] badge,#neo4j [6] #neo4j,#graphacademy [5] #woman,love [5] love,#math [5] #math,science [5] science,coding [5] coding,phd [5] phd,fundamental [5] fundamental,#physics Top Word Pairs in Tweet in G8:
[48] goodhound,uses [48] uses,sharphound [48] sharphound,bloodhound [48] bloodhound,neo4j [40] neo4j,produce [40] produce,actionable [40] actionable,list [40] list,attack [40] attack,paths [38] paths,targeted Top Word Pairs in Tweet in G9:
[2] neo4j,datastax Top Word Pairs in Tweet in G10:
[24] apache,hop [24] hop,community [24] community,pleased [24] pleased,announce [24] announce,release [24] release,hop [24] hop,release [24] release,contains [24] contains,bug [24] bug,fixes Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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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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Top Tweeters in G10: