Ron Burt prepared this data from Coleman, Katz and Menzel's 1966 study on medical innovation. They had collected data from physicians in four towns in Illinois: Peoria, Bloomington, Quincy and Galesburg. These four networks are held as separate networks in a list.

Coleman, Katz and Menzel were concerned with the impact of network ties on the physicians' adoption of a new drug, tetracycline. Data on three types of ties were collected in response to three questions:

  • advice: "When you need information or advice about questions of therapy where do you usually turn?"

  • discussion: "And who are the three or four physicians with whom you most often find yourself discussing cases or therapy in the course of an ordinary week – last week for instance?"

  • friendship: "Would you tell me the first names of your three friends whom you see most often socially?"

Additional questions and records of prescriptions provided additional information:

  • recorded date of tetracycline adoption date

  • years in practice (note that these are {messydates}-compatible dates)

  • conferences attended (those that attended "Specialty" conferences presumably also attended "General" conferences)

  • regular subscriptions to medical journals

  • free_time spent associating with doctors

  • discussions on medical matters when with other doctors sociallyy

  • memberships in clubs with other doctores

  • number of top 3 friends that are doctors

  • time practicing in current community

  • patients load (ordinal)

  • physical proximity to other physicians (in building/sharing office)

  • medical specialty (GP/Internist/Pediatrician/Other)

data(ison_physicians)

Format

#> $Peoria
#> # A multiplex, directed network of 117 nodes and 543 friendship, advice, and
#> discussion arcs
#> # A tibble: 117 x 12
#>   adoption specialty    conferences journals practice   community patients
#>      <dbl> <chr>        <chr>          <dbl> <chr>      <chr>     <chr>
#> 1        1 Pediatrician Specialty          9 1920..1929 20+yrs    101-150
#> 2       12 GP           None               5 1945..     -1yr      76-100
#> 3        8 Internist    General            7 1935..1939 10-20yrs  76-100
#> 4        9 GP           General            6 1940..1944 5-10yrs   51-75
#> 5        9 GP           General            4 1935..1939 10-20yrs  51-75
#> 6       10 Internist    None               7 1930..1934 10-20yrs  101-150
#> # i 111 more rows
#> # i 5 more variables: doc_freetime <dbl>, doc_discuss <dbl>, doc_friends <dbl>,
#> #   doc_club <dbl>, doc_proximity <chr>
#> # A tibble: 543 x 3
#>    from    to type
#>   <int> <int> <chr>
#> 1     1     8 friendship
#> 2     1    58 friendship
#> 3     1    87 advice
#> 4     1    90 advice
#> 5     1   110 advice
#> 6     1   112 friendship
#> # i 537 more rows
#>
#> $Bloomington
#> # A multiplex, directed network of 50 nodes and 211 friendship, discussion, and
#> advice arcs
#> # A tibble: 50 x 12
#>   adoption specialty conferences journals practice   community patients
#>      <dbl> <chr>     <chr>          <dbl> <chr>      <chr>     <chr>
#> 1       98 Internist Specialty          8 1930..1934 10-20yrs  101-150
#> 2        1 GP        General            3 1945..     5-10yrs   76-100
#> 3       98 GP        Specialty          4 1930..1934 10-20yrs  101-150
#> 4        7 Internist None               3 1945..     -1yr      26-50
#> 5        6 Internist General            9 1935..1939 5-10yrs   76-100
#> 6        1 GP        Specialty          5 1935..1939 10-20yrs  101-150
#> # i 44 more rows
#> # i 5 more variables: doc_freetime <dbl>, doc_discuss <dbl>, doc_friends <dbl>,
#> #   doc_club <dbl>, doc_proximity <chr>
#> # A tibble: 211 x 3
#>    from    to type
#>   <int> <int> <chr>
#> 1     1     3 friendship
#> 2     1    10 discussion
#> 3     1    24 advice
#> 4     1    44 advice
#> 5     2     4 advice
#> 6     2     6 advice
#> # i 205 more rows
#>
#> $Quincy
#> # A multiplex, directed network of 44 nodes and 174 advice, discussion, and
#> friendship arcs
#> # A tibble: 44 x 12
#>   adoption specialty conferences journals practice   community patients
#>      <dbl> <chr>     <chr>          <dbl> <chr>      <chr>     <chr>
#> 1        2 Internist None               6 1935..1939 10-20yrs  151+
#> 2       18 GP        General            3 1920..1929 20+yrs    151+
#> 3       18 Internist None               5 1945..     -1yr      -25
#> 4        4 GP        General            3 1930..1934 20+yrs    151+
#> 5       18 GP        Specialty          4 1935..1939 10-20yrs  151+
#> 6        5 Internist General            5 ..1919     20+yrs    51-75
#> # i 38 more rows
#> # i 5 more variables: doc_freetime <dbl>, doc_discuss <dbl>, doc_friends <dbl>,
#> #   doc_club <dbl>, doc_proximity <chr>
#> # A tibble: 174 x 3
#>    from    to type
#>   <int> <int> <chr>
#> 1     1     8 advice
#> 2     1     9 advice
#> 3     1    10 discussion
#> 4     1    13 friendship
#> 5     1    15 advice
#> 6     1    22 discussion
#> # i 168 more rows
#>
#> $Galesburg
#> # A multiplex, directed network of 35 nodes and 171 advice, discussion, and
#> friendship arcs
#> # A tibble: 35 x 12
#>   adoption specialty conferences journals practice   community patients
#>      <dbl> <chr>     <chr>          <dbl> <chr>      <chr>     <chr>
#> 1       18 GP        General            4 1935..1939 5-10yrs   101-150
#> 2       18 GP        None               4 1935..1939 -1yr      151+
#> 3        4 GP        General            6 1945..     2-5yrs    51-75
#> 4        5 GP        None               4 1935..1939 10-20yrs  101-150
#> 5        8 Internist General            6 1935..1939 5-10yrs   151+
#> 6        4 Internist Specialty          8 ..1919     20+yrs    76-100
#> # i 29 more rows
#> # i 5 more variables: doc_freetime <dbl>, doc_discuss <dbl>, doc_friends <dbl>,
#> #   doc_club <dbl>, doc_proximity <chr>
#> # A tibble: 171 x 3
#>    from    to type
#>   <int> <int> <chr>
#> 1     1     5 advice
#> 2     1     6 advice
#> 3     1    20 discussion
#> 4     1    23 discussion
#> 5     1    30 friendship
#> 6     1    31 friendship
#> # i 165 more rows

Source

{networkdata}

References

Coleman, James, Elihu Katz, and Herbert Menzel. 1966. Medical innovation: A diffusion study. Indianapolis: The Bobbs-Merrill Company.