metro_area

^^li.all.articles
Metropolitan area of the member who authored the article, based on self-identification by the member.
^^
^^li.user
Metropolitan area of the member who performed the interaction, based on self-identification by the member.
^^
^^li.root.user
If the root item of the activity chain is a share posted by a member, metropolitan area the member.

If the root item is an article, or a share posted by a company, then this target is not populated.
^^

For example san francisco bay area, london, united kingdom, new delhi area, india.

Query filtering

^^li.all.articles

  1. Filter to shares of articles authored by members who are located in a particular area:

    li.subtype == "activity|share" AND ||.||.metro_area == "san francisco bay area"

  2. Filter to shares of articles authored by members who are located in a one of a set of areas:

    li.subtype == "activity|share" AND ||.||.metro_area in "san francisco bay area, new delhi area\, India"

  3. Filter to shares of articles authored by members who are located in a particular area and work for a company of a particular size:

    li.subtype == "activity|share" AND ||.||.metro_area == "san francisco bay area" AND ||.||.employer_sizes == "1-10"

    ^^

^^li.user

  1. Filter to shares by members who are located in a particular area:

    li.subtype == "activity|share" AND ||.||.metro_area == "san francisco bay area"

  2. Filter to shares by members who are located in a one of a set of areas:

    li.subtype == "activity|share" AND ||.||.metro_area in "san francisco bay area, new delhi area\, India"

  3. Filter to shares by members who are located in a particular area and work for a company of a particular size:

    li.subtype == "activity|share" AND ||.||.metro_area == "san francisco bay area" AND ||.||.employer_sizes == "1-10"

    ^^

^^li.root.user

  1. Filter to likes on shares posted by members who are located in a particular area:

    li.subtype == "activity|like" AND ||.||.metro_area == "san francisco bay area"

  2. Filter to likes on shares posted by members who are located in a one of a set of areas:

    li.subtype == "activity|like" AND ||.||.metro_area in "san francisco bay area, new delhi area\, India"

  3. Filter to likes on shares posted by members who are located in a particular area and work for a company of a particular size:

    li.subtype == "activity|like" AND ||.||.metro_area == "san francisco bay area" AND ||.||.employer_sizes == "1-10"

    ^^

Analysis

^^li.all.articles
You can use this target to analyze the locations of authors whose content is being shared or engaged with.

  1. Analyze the locations of authors whose content is being shared:

    "filter": "li.subtype == \"activity|share\"",
    "parameters": {
        "analysis_type": "freqDist",
        "parameters": {
            "target": "||.||.metro_area",
            "threshold": 20
        }
    }

    Notice that here a query filter is used to filter to articles posted in shares.
    ^^

^^li.user
You can use this target to analyze the locations of members who are performing interactions.

  1. Analyze the locations of members who are posting shares:

    "filter": "li.subtype == \"activity|share\"",
    "parameters": {
        "analysis_type": "freqDist",
        "parameters": {
            "target": "||.||.metro_area",
            "threshold": 20
        }
    }

    Notice that here a query filter is used to filter to shares only.
    ^^

^^li.root.user
You can use this target to analyze the locations of members whose shares are receiving engagement.

  1. Analyze the locations of members whose shares are receiving likes:

    "filter": "li.subtype == \"activity|like\"",
    "parameters": {
        "analysis_type": "freqDist",
        "parameters": {
            "target": "||.||.metro_area",
            "threshold": 20
        }
    }

    Notice that here a query filter is used to filter to likes only.
    ^^

Resource information

Type: string

Tokenized for query filters: Yes

Analysis target: Yes

Query filter: Yes

Child analysis target: No