This is a table of adjective/noun combinations and their frequencies from sentences in your study carrel. Use it to search & browse the list to learn more about your study carrel.
adjective | noun | frequency |
---|---|---|
social | networks | 353 |
neural | networks | 310 |
social | network | 287 |
neural | network | 275 |
complex | networks | 229 |
infectious | disease | 141 |
infectious | diseases | 140 |
- | time | 131 |
- | protein | 121 |
complex | network | 109 |
random | network | 85 |
large | number | 85 |
average | degree | 71 |
random | networks | 67 |
same | time | 62 |
infected | nodes | 61 |
infected | individuals | 60 |
- | network | 53 |
small | number | 48 |
- | value | 44 |
global | networks | 44 |
- | networks | 40 |
- | degree | 39 |
other | methods | 38 |
other | nodes | 37 |
average | number | 33 |
social | interactions | 32 |
real | networks | 30 |
social | systems | 30 |
complex | systems | 29 |
different | networks | 29 |
high | degree | 29 |
large | networks | 29 |
same | number | 28 |
social | interaction | 28 |
- | node | 28 |
human | proteins | 28 |
different | network | 27 |
human | protein | 27 |
- | valued | 25 |
human | disease | 25 |
infectious | individuals | 25 |
infected | individual | 24 |
social | structure | 24 |
global | network | 20 |
such | networks | 19 |
various | network | 19 |
other | networks | 18 |
infected | node | 17 |
human | diseases | 17 |
- | disease | 16 |
many | cases | 16 |
other | studies | 16 |
real | time | 16 |
such | systems | 16 |
different | values | 15 |
other | proteins | 15 |
new | node | 15 |
- | edges | 15 |
average | time | 15 |
- | model | 15 |
- | community | 15 |
other | individuals | 14 |
real | data | 14 |
real | network | 13 |
same | degree | 13 |
- | infection | 13 |
- | models | 12 |
- | numbered | 12 |
different | methods | 12 |
global | epidemic | 12 |
low | degree | 12 |
new | approach | 12 |
new | infections | 12 |
other | network | 12 |
- | communities | 12 |
new | data | 11 |
same | community | 11 |
other | approaches | 11 |
new | network | 11 |
different | epidemic | 11 |
larger | number | 11 |
first | time | 11 |
- | values | 11 |
more | nodes | 10 |
such | data | 10 |
similar | results | 10 |
random | node | 10 |
same | network | 10 |
large | numbers | 10 |
- | analysis | 10 |
human | networks | 10 |
complex | system | 10 |
infectious | node | 10 |
higher | degree | 9 |
various | systems | 9 |
other | cases | 9 |
many | studies | 9 |
larger | networks | 9 |
human | interactions | 9 |
highest | degree | 9 |
higher | value | 9 |
higher | number | 9 |
such | models | 9 |
first | case | 9 |
different | communities | 9 |
different | approaches | 9 |
complex | diseases | 9 |
- | studied | 9 |
- | processed | 9 |
- | edge | 9 |
- | nodes | 9 |
different | data | 9 |
new | nodes | 8 |
such | studies | 8 |
such | nodes | 8 |
such | cases | 8 |
specific | disease | 8 |
several | methods | 8 |
real | systems | 8 |
low | values | 8 |
more | time | 8 |
large | network | 8 |
infected | cases | 8 |
important | nodes | 8 |
high | number | 8 |
average | value | 8 |
various | networks | 7 |
such | network | 7 |
social | system | 7 |
small | values | 7 |
low | value | 7 |
new | approaches | 7 |
new | methods | 7 |
infectious | individual | 7 |
different | time | 7 |
complex | structure | 7 |
- | interaction | 7 |
- | information | 7 |
first | model | 7 |
several | times | 6 |
possible | edges | 6 |
possible | networks | 6 |
possible | number | 6 |
several | studies | 6 |
specific | research | 6 |
similar | analysis | 6 |
smaller | values | 6 |
other | processes | 6 |
such | effects | 6 |
such | individuals | 6 |
various | approaches | 6 |
other | research | 6 |
same | node | 6 |
other | models | 6 |
infectious | nodes | 6 |
new | method | 6 |
- | number | 6 |
different | nodes | 6 |
high | values | 6 |
important | information | 6 |
global | epidemics | 6 |
low | degrees | 6 |
many | individuals | 6 |
more | information | 6 |
multiple | edges | 6 |
multiple | networks | 6 |
several | approaches | 5 |
new | models | 5 |
other | communities | 5 |
other | systems | 5 |
random | nodes | 5 |
same | analysis | 5 |
same | results | 5 |
specific | number | 5 |
several | diseases | 5 |
small | network | 5 |
small | networks | 5 |
smaller | networks | 5 |
social | information | 5 |
multiple | times | 5 |
new | cases | 5 |
many | times | 5 |
multiple | data | 5 |
first | infection | 5 |
- | structure | 5 |
average | epidemic | 5 |
different | degrees | 5 |
different | models | 5 |
different | proteins | 5 |
complex | structures | 5 |
first | node | 5 |
higher | values | 5 |
human | interaction | 5 |
largest | value | 5 |
lower | number | 5 |
many | research | 5 |
social | data | 4 |
other | diseases | 4 |
other | model | 4 |
other | node | 4 |
real | system | 4 |
same | data | 4 |
same | individual | 4 |
same | nodes | 4 |
same | study | 4 |
similar | effects | 4 |
such | diseases | 4 |
social | time | 4 |
specific | case | 4 |
specific | network | 4 |
specific | node | 4 |
specific | protein | 4 |
such | approaches | 4 |
multiple | network | 4 |
such | interactions | 4 |
such | results | 4 |
various | models | 4 |
neural | system | 4 |
small | degree | 4 |
more | research | 4 |
high | value | 4 |
more | individuals | 4 |
- | data | 4 |
- | degrees | 4 |
- | structures | 4 |
different | approach | 4 |
different | individuals | 4 |
first | results | 4 |
global | disease | 4 |
global | information | 4 |
high | degrees | 4 |
average | infection | 4 |
higher | degrees | 4 |
large | systems | 4 |
many | interactions | 4 |
largest | effect | 4 |
large | value | 4 |
largest | number | 4 |
large | degree | 4 |
important | research | 4 |
highest | number | 4 |
many | networks | 4 |
similar | approaches | 3 |
same | approach | 3 |
similar | approach | 3 |
several | networks | 3 |
several | interaction | 3 |
same | result | 3 |
same | infection | 3 |
same | disease | 3 |
random | process | 3 |
real | value | 3 |
real | epidemic | 3 |
random | structure | 3 |
other | individual | 3 |
possible | values | 3 |
other | interactions | 3 |
other | information | 3 |
similar | network | 3 |
similar | community | 3 |
specific | values | 3 |
similar | research | 3 |
similar | systems | 3 |
other | data | 3 |
such | time | 3 |
such | research | 3 |
such | methods | 3 |
such | information | 3 |
such | analysis | 3 |
such | analyses | 3 |
specific | time | 3 |
specific | data | 3 |
social | processes | 3 |
social | process | 3 |
smaller | network | 3 |
small | numbers | 3 |
small | community | 3 |
small | communities | 3 |
other | edges | 3 |
many | nodes | 3 |
new | value | 3 |
different | disease | 3 |
first | research | 3 |
different | structures | 3 |
different | results | 3 |
different | number | 3 |
different | node | 3 |
different | interaction | 3 |
different | information | 3 |
different | degree | 3 |
higher | network | 3 |
complex | interactions | 3 |
complex | interaction | 3 |
complex | case | 3 |
average | information | 3 |
- | epidemic | 3 |
new | research | 3 |
- | effect | 3 |
higher | edge | 3 |
different | infections | 3 |
highest | edge | 3 |
many | methods | 3 |
multiple | communities | 3 |
new | interactions | 3 |
more | interactions | 3 |
more | data | 3 |
more | analysis | 3 |
many | network | 3 |
lower | values | 3 |
largest | information | 3 |
larger | values | 3 |
larger | network | 3 |
infectious | cases | 3 |
important | result | 3 |
highest | value | 3 |
highest | node | 3 |
real | numbers | 2 |
random | proteins | 2 |
real | cases | 2 |
same | individuals | 2 |
real | values | 2 |
same | effect | 2 |
random | interactions | 2 |
same | protein | 2 |
random | number | 2 |
new | processes | 2 |
random | effects | 2 |
possible | structures | 2 |
possible | network | 2 |
possible | infection | 2 |
other | epidemic | 2 |
new | structures | 2 |
new | infection | 2 |
new | individual | 2 |
new | diseases | 2 |
several | cases | 2 |
same | value | 2 |
such | edges | 2 |
several | network | 2 |
several | nodes | 2 |
neural | systems | 2 |
various | values | 2 |
various | time | 2 |
various | communities | 2 |
such | processes | 2 |
such | edge | 2 |
specific | process | 2 |
specific | interactions | 2 |
specific | diseases | 2 |
specific | community | 2 |
specific | cases | 2 |
social | structures | 2 |
smallest | network | 2 |
similar | structure | 2 |
similar | number | 2 |
similar | methods | 2 |
similar | diseases | 2 |
several | values | 2 |
several | research | 2 |
new | disease | 2 |
first | studied | 2 |
neural | processes | 2 |
highest | values | 2 |
high | time | 2 |
global | structure | 2 |
global | methods | 2 |
global | community | 2 |
first | studies | 2 |
first | protein | 2 |
first | analysis | 2 |
different | times | 2 |
different | study | 2 |
different | studies | 2 |
different | protein | 2 |
different | infection | 2 |
averaging | time | 2 |
average | results | 2 |
average | node | 2 |
- | cases | 2 |
- | case | 2 |
- | approach | 2 |
multiple | studies | 2 |
highest | degrees | 2 |
complex | epidemic | 2 |
human | communities | 2 |
low | network | 2 |
multiple | effects | 2 |
human | infection | 2 |
many | models | 2 |
many | edges | 2 |
many | approaches | 2 |
lower | value | 2 |
lower | infection | 2 |
low | research | 2 |
low | number | 2 |
lowest | values | 2 |
largest | degree | 2 |
large | system | 2 |
large | information | 2 |
large | data | 2 |
infected | network | 2 |
important | results | 2 |
human | network | 2 |
larger | system | 2 |
human | system | 2 |
real | infection | 1 |
real | processes | 1 |
real | numbered | 1 |
real | number | 1 |
real | interactions | 1 |
real | interaction | 1 |
random | values | 1 |
real | disease | 1 |
real | communities | 1 |
random | structures | 1 |
random | protein | 1 |
same | edge | 1 |
random | numbers | 1 |
same | communities | 1 |
several | proteins | 1 |
same | interaction | 1 |
same | model | 1 |
same | numbers | 1 |
several | communities | 1 |
several | community | 1 |
several | edge | 1 |
several | individual | 1 |
several | models | 1 |
several | protein | 1 |
several | researches | 1 |
several | study | 1 |
several | time | 1 |
similar | degree | 1 |
random | individual | 1 |
random | infection | 1 |
new | system | 1 |
random | disease | 1 |
other | infections | 1 |
new | case | 1 |
new | community | 1 |
new | edge | 1 |
new | individuals | 1 |
new | information | 1 |
new | model | 1 |
new | networks | 1 |
new | process | 1 |
new | protein | 1 |
similar | effect | 1 |
new | systems | 1 |
other | disease | 1 |
other | infection | 1 |
other | protein | 1 |
random | data | 1 |
other | results | 1 |
other | times | 1 |
other | values | 1 |
others | diseases | 1 |
others | studied | 1 |
possible | approaches | 1 |
possible | edge | 1 |
possible | effect | 1 |
possible | effects | 1 |
possible | infections | 1 |
possible | node | 1 |
possible | nodes | 1 |
possible | value | 1 |
similar | edges | 1 |
social | effect | 1 |
similar | information | 1 |
similar | method | 1 |
specific | structure | 1 |
such | communities | 1 |
such | community | 1 |
such | infection | 1 |
such | infections | 1 |
such | interaction | 1 |
such | node | 1 |
such | protein | 1 |
such | proteins | 1 |
such | structure | 1 |
such | structures | 1 |
such | system | 1 |
various | analysis | 1 |
various | case | 1 |
various | community | 1 |
various | data | 1 |
various | degree | 1 |
various | degrees | 1 |
various | effects | 1 |
various | infection | 1 |
various | infections | 1 |
various | information | 1 |
various | interaction | 1 |
various | interactions | 1 |
various | methods | 1 |
various | proteins | 1 |
various | research | 1 |
various | structures | 1 |
various | study | 1 |
specific | processes | 1 |
specific | model | 1 |
specific | methods | 1 |
smaller | systems | 1 |
similar | model | 1 |
similar | networks | 1 |
similar | nodes | 1 |
similar | result | 1 |
similar | structures | 1 |
similar | studies | 1 |
similar | value | 1 |
similar | values | 1 |
small | data | 1 |
small | degrees | 1 |
small | epidemic | 1 |
smaller | number | 1 |
smaller | protein | 1 |
smaller | value | 1 |
specific | method | 1 |
smallest | edges | 1 |
smallest | networks | 1 |
smallest | number | 1 |
social | analysis | 1 |
neural | models | 1 |
social | value | 1 |
specific | analyses | 1 |
specific | edge | 1 |
specific | edges | 1 |
specific | epidemic | 1 |
specific | individual | 1 |
specific | infection | 1 |
specific | information | 1 |
new | analysis | 1 |
many | diseases | 1 |
multiple | time | 1 |
multiple | research | 1 |
different | effects | 1 |
different | individual | 1 |
different | interactions | 1 |
different | method | 1 |
different | numbers | 1 |
different | processes | 1 |
different | research | 1 |
different | structure | 1 |
different | value | 1 |
first | approaches | 1 |
first | cases | 1 |
first | network | 1 |
first | processes | 1 |
first | result | 1 |
first | study | 1 |
first | times | 1 |
global | analyses | 1 |
global | approaches | 1 |
global | data | 1 |
global | effects | 1 |
global | structures | 1 |
global | study | 1 |
high | disease | 1 |
high | infection | 1 |
high | information | 1 |
high | network | 1 |
high | node | 1 |
high | nodes | 1 |
higher | infection | 1 |
different | community | 1 |
different | cases | 1 |
complexes | structure | 1 |
average | community | 1 |
- | analyses | 1 |
- | infections | 1 |
- | interactions | 1 |
- | method | 1 |
- | methods | 1 |
- | modeled | 1 |
- | process | 1 |
- | processing | 1 |
- | research | 1 |
- | structured | 1 |
- | studies | 1 |
- | system | 1 |
- | systems | 1 |
average | degrees | 1 |
complex | protein | 1 |
average | disease | 1 |
average | network | 1 |
average | numbers | 1 |
average | values | 1 |
averaged | time | 1 |
averaged | value | 1 |
averaging | individual | 1 |
complex | analysis | 1 |
complex | data | 1 |
complex | infections | 1 |
complex | information | 1 |
complex | methods | 1 |
complex | models | 1 |
higher | information | 1 |
higher | node | 1 |
higher | time | 1 |
more | edge | 1 |
lower | community | 1 |
lower | degree | 1 |
lower | numbers | 1 |
lower | time | 1 |
lowest | number | 1 |
lowest | results | 1 |
many | communities | 1 |
many | data | 1 |
many | disease | 1 |
many | epidemic | 1 |
many | results | 1 |
many | systems | 1 |
more | cases | 1 |
more | edges | 1 |
low | results | 1 |
more | infection | 1 |
more | infections | 1 |
more | protein | 1 |
more | studied | 1 |
multiple | disease | 1 |
multiple | diseases | 1 |
multiple | edge | 1 |
multiple | individual | 1 |
multiple | information | 1 |
multiple | interactions | 1 |
multiple | nodes | 1 |
multiple | number | 1 |
multiple | proteins | 1 |
lower | case | 1 |
low | numbers | 1 |
highest | information | 1 |
large | communities | 1 |
human | data | 1 |
human | studies | 1 |
humans | modeling | 1 |
important | disease | 1 |
important | effects | 1 |
important | model | 1 |
important | network | 1 |
important | number | 1 |
important | protein | 1 |
important | structures | 1 |
infected | case | 1 |
infectious | process | 1 |
infectious | time | 1 |
large | degrees | 1 |
low | et | 1 |
large | effect | 1 |
large | epidemic | 1 |
large | epidemics | 1 |
large | model | 1 |
larger | communities | 1 |
larger | degree | 1 |
larger | model | 1 |
larger | numbers | 1 |
larger | time | 1 |
larger | value | 1 |
largest | communities | 1 |
largest | networks | 1 |
largest | numbers | 1 |
various | system | 1 |