help affiliationexposure 
-------------------------------------------------------------------------------

Title

    affiliationexposure --
                     Compute the Affiliation Exposure Model for two-mode
                     network data


Syntax

        affiliationexposure modevars , attribute(attribvar)
                result(resultvarname)

Description

    affiliationexposure calculates the Affiliation Exposure metric based on
    one or more modevars and a single attribvar, placing the results in
    resultvarname. Only one set of data in memory is supported at this time.
    attribvar is not constrained in any way, but caution should be used if
    the scale is not linear (ranks are okay). Missing values are treated as
    zeros.


Example:  computing the affiliation exposure based on three events for one (ran
> ked) attribute

        . use my_twomode_data
        . list
     +--------------------------------+
     | event1   event2   event3   a1  |
     |--------------------------------|
  1. |      0        0        1    1  |
  2. |      1        1        0    1  |
  3. |      0        0        1    5  |
  4. |      1        0        0    4  |
  5. |      1        0        0    4  |
     +--------------------------------+

        . affiliationexposure event1 event2 event3, attrib(a1) result(ae_a1)
        . list
     +--------------------------------------+
     | event1   event2   event3   a1  ae_a1 |
     |--------------------------------------|
  1. |      0        0        1    1      5 |
  2. |      1        1        0    1      4 |
  3. |      0        0        1    5      1 |
  4. |      1        0        0    4    2.5 |
  5. |      1        0        0    4    2.5 |
     +--------------------------------------+


Reference

    Kayo Fujimoto, Jennifer Unger, and Thomas W. Valente. "Network Method of
        Measuring Affiliation-based Peer Influence: Assessing the Influences
        of Teammates Smokers on Adolescent Smoking." Child Development,
        PMCID#299349.