Importing Mapping Metaphor into Neo4j

mapping-metaphor-neo4j.adoc

Importing Mapping Metaphor into Neo4j

I came across this tweet, which sounded really interesting.

@MappingMetaphor: Metaphor Map now complete! Remaining data now up, and showing nearly 12,000 metaphorical connections: http://mappingmetaphor.arts.gla.ac.uk/

The site is really nice, with a pretty data visualization:

Useful natural language correlation network are always fun to work with, so let’s have a look.

Install Neo4j & APOC

Download and install Neo4j-Desktop from http://neo4j.com/download/other-releases Create a database and install the APOC procedure library. Start the database.

Download Data

Download CSV from here, it should contain almost 12k lines of metaphors:

http://mappingmetaphor.arts.gla.ac.uk/drilldown/?adv=y&viewChange=y&expand=&changeBoxSelected=&strength=strong&changeViewOpt=changeTable

Store locally in $NEO4J_HOME/import or in an accessible location.

Run Import

For good measure.

create constraint on (c:Category) assert c.id is unique;

Run this Cypher statement to import in a few seconds

load csv with headers from "file:///metaphor.csv" as line
merge (c1:Category {id:line.`Category 1 ID`}) ON CREATE SET c1.name=line.`Categroy 1 Name`
merge (c2:Category {id:line.`Category 2 ID`}) ON CREATE SET c2.name=line.`Category 2 Name`
with case line.Direction when '>' then [c1,c2] else [c2,c1] end as cat,line,apoc.coll.toSet(split(line.`Examples of metaphor`,';'))[0..-1] as words
call apoc.create.relationship(cat[0],line.Strength,{start:line.`Start Era`, examples:words},cat[1]) yield rel
return count(*)

For finding categories quickly

create index on :Category(name);

Run graph algorithms.

Degree distribution

╒════════╤═══════════╤═══════╤═════╤═════╤═════╤═════╤═════╤══════╤═════╤═════╤═════════════════╕
│"type"  │"direction"│"total"│"p50"│"p75"│"p90"│"p95"│"p99"│"p999"│"max"│"min"│"mean"           │
╞════════╪═══════════╪═══════╪═════╪═════╪═════╪═════╪═════╪══════╪═════╪═════╪═════════════════╡
│"Weak"  │"OUTGOING" │7908   │11   │31   │48   │61   │84   │100   │100  │0    │19.10144927536232│
│"Strong"│"OUTGOING" │3974   │3    │12   │28   │37   │86   │107   │107  │0    │9.599033816425122│
└────────┴───────────┴───────┴─────┴─────┴─────┴─────┴─────┴──────┴─────┴─────┴─────────────────┘

Top 10 categories:

MATCH (c:Category)
WITH c,size( (c)-->()) as out,size( (c)<--()) as in
RETURN c.id, c.name,in, out
ORDER BY in DESC LIMIT 10;

╒══════╤═════════════════════════╤════╤═════╕
│"c.id"│"c.name"                 │"in"│"out"│
╞══════╪═════════════════════════╪════╪═════╡
│"2D06"│"Emotional suffering"    │119 │7    │
├──────┼─────────────────────────┼────┼─────┤
│"2C02"│"Bad"                    │119 │7    │
├──────┼─────────────────────────┼────┼─────┤
│"3M06"│"Literature"             │116 │29   │
├──────┼─────────────────────────┼────┼─────┤
│"1O22"│"Behaviour and conduct"  │109 │10   │
├──────┼─────────────────────────┼────┼─────┤
│"3L02"│"Money"                  │106 │44   │
├──────┼─────────────────────────┼────┼─────┤
│"2C01"│"Good"                   │105 │2    │
├──────┼─────────────────────────┼────┼─────┤
│"1P28"│"Greatness and intensity"│104 │2    │
├──────┼─────────────────────────┼────┼─────┤
│"2A22"│"Truth and falsity"      │104 │5    │
├──────┼─────────────────────────┼────┼─────┤
│"2D08"│"Love and friendship"    │100 │17   │
├──────┼─────────────────────────┼────┼─────┤
│"2A18"│"Intelligibility"        │99  │5    │
└──────┴─────────────────────────┴────┴─────┘

call algo.pageRank.stream(null,null) yield node, score
with node, toInt(score*10) as score order by score desc limit 10
return node.name, score/10.0 as score;

╒══════════════════════════════════════╤═══════╕
│"node.name"                           │"score"│
╞══════════════════════════════════════╪═══════╡
│"Greatness and intensity"             │5.6    │
├──────────────────────────────────────┼───────┤
│"Colour "                             │3.5    │
├──────────────────────────────────────┼───────┤
│"Unimportance"                        │3.5    │
├──────────────────────────────────────┼───────┤
│"Importance"                          │3.4    │
├──────────────────────────────────────┼───────┤
│"Hatred and hostility"                │3.4    │
├──────────────────────────────────────┼───────┤
│"Plants"                              │2.9    │
├──────────────────────────────────────┼───────┤
│"Good"                                │2.9    │
├──────────────────────────────────────┼───────┤
│"Age"                                 │2.8    │
├──────────────────────────────────────┼───────┤
│"Love and friendship"                 │2.7    │
├──────────────────────────────────────┼───────┤
│"Memory, commemoration and revocation"│2.6    │
└──────────────────────────────────────┴───────┘

Funny that both importance and unimportance have such a high rank.

metaphors.svg

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