Query below lists tables with most relationships (both foreign keys and FK references from other tables).

See also:
Query
select
    refFK.table,
    foreign_keys + coalesce(references,0) as relationships ,
    foreign_keys,
    coalesce(references,0) as references,
    referenced_tables + coalesce(referencing_tables,0) as related_tables,
    referenced_tables,
    coalesce(referencing_tables,0) as referencing_tables
from 
(   select 
    tabschema concat '.' concat tabname as table,
    count(constname) as foreign_keys,
    count(distinct reftabschema concat '.' concat reftabname)
                        as referenced_tables 
    from syscat.references
    group by tabschema concat '.' concat tabname
) refFK
left outer join
(   select 
    distinct reftabschema concat '.' concat reftabname as table,
    count(*) as references,
    count(distinct tabschema concat '.' concat tabname)
                    as referencing_tables 
    from syscat.references
    group by reftabschema concat '.' concat reftabname
) refbyFK on refFk.table = refbyFK.table
order by foreign_keys + COALESCE(references,0) desc
Columns
- table - name of table with schema name
- relationships - number of relationships (FKs and FK references)
- foreign_keys - number of foreign keys in a table
- references - number of FK references from other tables
- related_tables - number of different related tables (regardless of relationship type/direction table is counted only once)
- referenced_tables - nubmer of different tables referenced with FKs (please note that table can be related more than once so number of FKs and number of referenced tables can be different)
- referencing_tables - nubmer of different tables referencing with foreign keys this table
Rows
- One row represents one table in a database
- Scope of rows: all tables in a database
- Ordered by number of relationships (foreing keys and references) from the ones with the most
Sample results

 
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                 
                                                             
                                                             
                                                             
                                                             
                                                                 
                                                             
                                                             
                                                                 
                                                             
                                                             
                                                             
                                                             Marcin Nagly
                                                                        Marcin Nagly
                                 IBM Db2
                                                                IBM Db2
                                 SQL Server
                                                                                                SQL Server
                                             Azure SQL Database
                                                                                                Azure SQL Database
                                             Snowflake
                                                                                                Snowflake
                                             Amazon Redshift
                                                                                                Amazon Redshift
                                             Teradata
                                                                                                Teradata
                                             Vertica
                                                                                                Vertica
                                             PostgreSQL
                                                                                                PostgreSQL
                                             MySQL
                                                                                                MySQL
                                             MariaDB
                                                                                                MariaDB