87 datasets found
  1. a

    Facebook Names Dataset

    • academictorrents.com
    bittorrent
    Updated Nov 11, 2015
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    Ron Bowes (Skull Security) (2015). Facebook Names Dataset [Dataset]. https://academictorrents.com/details/e54c73099d291605e7579b90838c2cd86a8e9575
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    bittorrent(2991052604)Available download formats
    Dataset updated
    Nov 11, 2015
    Dataset authored and provided by
    Ron Bowes (Skull Security)
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    171 million names (100 million unique) This torrent contains: The URL of every searchable Facebook user s profile The name of every searchable Facebook user, both unique and by count (perfect for post-processing, datamining, etc) Processed lists, including first names with count, last names with count, potential usernames with count, etc The programs I used to generate everything So, there you have it: lots of awesome data from Facebook. Now, I just have to find one more problem with Facebook so I can write "Revenge of the Facebook Snatchers" and complete the trilogy. Any suggestions? >:-) Limitations So far, I have only indexed the searchable users, not their friends. Getting their friends will be significantly more data to process, and I don t have those capabilities right now. I d like to tackle that in the future, though, so if anybody has any bandwidth they d like to donate, all I need is an ssh account and Nmap installed. An additional limitation is that these are on

  2. Facebook users worldwide 2017-2027

    • statista.com
    • de.statista.com
    • +2more
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    Stacy Jo Dixon, Facebook users worldwide 2017-2027 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    The global number of Facebook users was forecast to continuously increase between 2023 and 2027 by in total 391 million users (+14.36 percent). After the fourth consecutive increasing year, the Facebook user base is estimated to reach 3.1 billion users and therefore a new peak in 2027. Notably, the number of Facebook users was continuously increasing over the past years. User figures, shown here regarding the platform Facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

  3. Facebook users in Indonesia 2019-2028

    • statista.com
    Updated Mar 27, 2025
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    Statista Research Department (2025). Facebook users in Indonesia 2019-2028 [Dataset]. https://www.statista.com/topics/8306/social-media-in-indonesia/
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    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Indonesia
    Description

    The number of Facebook users in Indonesia was forecast to continuously decrease between 2024 and 2028 by in total 20 million users (-11.04 percent). According to this forecast, in 2028, the Facebook user base will have decreased for the fifth consecutive year to 161.16 million users. User figures, shown here regarding the platform facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Facebook users in countries like Thailand and Vietnam.

  4. Most Followed Facebook accounts

    • kaggle.com
    Updated Jul 8, 2023
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    Aman Chauhan (2023). Most Followed Facebook accounts [Dataset]. https://www.kaggle.com/datasets/whenamancodes/most-followed-facebook-accounts
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 8, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aman Chauhan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The Most Followed Facebook Accounts dataset provides information on the accounts with the highest number of followers on the Facebook platform. It includes data on various public figures, celebrities, organizations, and brands that have amassed a significant following, showcasing their popularity and influence on the social media platform.

  5. Cheltenham's Facebook Groups

    • kaggle.com
    zip
    Updated Apr 2, 2018
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    Mike Chirico (2018). Cheltenham's Facebook Groups [Dataset]. https://www.kaggle.com/datasets/mchirico/cheltenham-s-facebook-group
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    zip(0 bytes)Available download formats
    Dataset updated
    Apr 2, 2018
    Authors
    Mike Chirico
    License

    http://www.gnu.org/licenses/old-licenses/gpl-2.0.en.htmlhttp://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html

    Description

    Facebook is becoming an essential tool for more than just family and friends. Discover how Cheltenham Township (USA), a diverse community just outside of Philadelphia, deals with major issues such as the Bill Cosby trial, everyday traffic issues, sewer I/I problems and lost cats and dogs. And yes, theft.

    Communities work when they're connected and exchanging information. What and who are the essential forces making a positive impact, and when and how do conversational threads get directed or misdirected?

    Use Any Facebook Public Group

    You can leverage the examples here for any public Facebook group. For an example of the source code used to collect this data, and a quick start docker image, take a look at the following project: facebook-group-scrape.

    Data Sources

    There are 4 csv files in the dataset, with data from the following 5 public Facebook groups:

    post.csv

    These are the main posts you will see on the page. It might help to take a quick look at the page. Commas in the msg field have been replaced with {COMMA}, and apostrophes have been replaced with {APOST}.

    • gid Group id (5 different Facebook groups)
    • pid Main Post id
    • id Id of the user posting
    • name User's name
    • timeStamp
    • shares
    • url
    • msg Text of the message posted.
    • likes Number of likes

    comment.csv

    These are comments to the main post. Note, Facebook postings have comments, and comments on comments.

    • gid Group id
    • pid Matches Main Post identifier in post.csv
    • cid Comment Id.
    • timeStamp
    • id Id of user commenting
    • name Name of user commenting
    • rid Id of user responding to first comment
    • msg Message

    like.csv

    These are likes and responses. The two keys in this file (pid,cid) will join to post and comment respectively.

    • gid Group id
    • pid Matches Main Post identifier in post.csv
    • cid Matches Comments id.
    • response Response such as LIKE, ANGRY etc.
    • id The id of user responding
    • name Name of the user responding

    member.csv

    These are all the members in the group. Some members never, or rarely, post or comment. You may find multiple entries in this table for the same person. The name of the individual never changes, but they change their profile picture. Each profile picture change is captured in this table. Facebook gives users a new id in this table when they change their profile picture.

    • gid Group id
    • id Id of the member
    • name Name of the member
    • url URL of the member
  6. Number of Facebook users in Malaysia 2019-2028

    • statista.com
    Updated Dec 12, 2024
    + more versions
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    Statista (2024). Number of Facebook users in Malaysia 2019-2028 [Dataset]. https://www.statista.com/statistics/490484/number-of-malaysia-facebook-users/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Malaysia
    Description

    The number of Facebook users in Malaysia was forecast to continuously decrease between 2024 and 2028 by in total 2.2 million users (-9.36 percent). According to this forecast, in 2028, the Facebook user base will have decreased for the sixth consecutive year to 21.33 million users. User figures, shown here regarding the platform facebook, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find further information concerning Indonesia and Singapore.

  7. f

    DataSets - Identification and characterization of Facebook user profiles...

    • figshare.com
    xlsx
    Updated May 9, 2018
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    Cristiane Nobre (2018). DataSets - Identification and characterization of Facebook user profiles considering interaction aspects [Dataset]. http://doi.org/10.6084/m9.figshare.6236921.v1
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    xlsxAvailable download formats
    Dataset updated
    May 9, 2018
    Dataset provided by
    figshare
    Authors
    Cristiane Nobre
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Dataset used in Article "Identification and characterization of Facebook user profiles considering interaction aspects"

  8. E

    Facebook metadata dataset LiLaH-HAG

    • live.european-language-grid.eu
    binary format
    Updated Aug 23, 2022
    + more versions
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    (2022). Facebook metadata dataset LiLaH-HAG [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/20476
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    binary formatAvailable download formats
    Dataset updated
    Aug 23, 2022
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    The LiLaH-HAG dataset (HAG is short for hate-age-gender) consists of metadata on Facebook comments to Facebook posts of mainstream media in Great Britain, Flanders, Slovenia and Croatia. The metadata available in the dataset are the hatefulness of the comment (0 is acceptable, 1 is hateful), age of the commenter (0-25, 26-30, 36-65, 65-), gender of the commenter (M or F), and the language in which the comment was written (EN, NL, SL, HR).

    The hatefulness of the comment was assigned by multiple well-trained annotators by reading comments in the order of appearance in a discussion thread, while the age and gender variables were estimated from the Facebook profile of a specific user by a single annotator.

  9. Facebook Datasets

    • brightdata.com
    .json, .csv, .xlsx
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    Bright Data, Facebook Datasets [Dataset]. https://brightdata.com/products/datasets/facebook
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    .json, .csv, .xlsxAvailable download formats
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Access our extensive Facebook datasets that provide detailed information on public posts, pages, and user engagement. Gain insights into post performance, audience interactions, page details, and content trends with our ethically sourced data. Free samples are available for evaluation. Over 940M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

    Post ID Post Content & URL Date Posted Hashtags Number of Comments Number of Shares Likes & Reaction Counts (by type) Video View Count Page Name & Category Page Followers & Likes Page Verification Status Page Website & Contact Info Is Sponsored Post Attachments (Images/Videos) External Link Data And much more

  10. Countries with the most Facebook users 2024

    • statista.com
    • fr.statista.com
    • +2more
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    Stacy Jo Dixon, Countries with the most Facebook users 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
    Explore at:
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Which county has the most Facebook users?

                  There are more than 378 million Facebook users in India alone, making it the leading country in terms of Facebook audience size. To put this into context, if India’s Facebook audience were a country then it would be ranked third in terms of largest population worldwide. Apart from India, there are several other markets with more than 100 million Facebook users each: The United States, Indonesia, and Brazil with 193.8 million, 119.05 million, and 112.55 million Facebook users respectively.
    
                  Facebook – the most used social media
    
                  Meta, the company that was previously called Facebook, owns four of the most popular social media platforms worldwide, WhatsApp, Facebook Messenger, Facebook, and Instagram. As of the third quarter of 2021, there were around 3,5 billion cumulative monthly users of the company’s products worldwide. With around 2.9 billion monthly active users, Facebook is the most popular social media worldwide. With an audience of this scale, it is no surprise that the vast majority of Facebook’s revenue is generated through advertising.
    
                  Facebook usage by device
                  As of July 2021, it was found that 98.5 percent of active users accessed their Facebook account from mobile devices. In fact, almost 81.8 percent of Facebook audiences worldwide access the platform only via mobile phone. Facebook is not only available through mobile browser as the company has published several mobile apps for users to access their products and services. As of the third quarter 2021, the four core Meta products were leading the ranking of most downloaded mobile apps worldwide, with WhatsApp amassing approximately six billion downloads.
    
  11. s

    Exposure to Facebook Posts with Civic News URLs

    • socialmediaarchive.org
    csv, pdf, xlsx
    Updated Jul 27, 2023
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    (2023). Exposure to Facebook Posts with Civic News URLs [Dataset]. http://doi.org/10.3886/rnr8-jj22
    Explore at:
    xlsx(33969), pdf(724746), csv(76863), xlsx(44149)Available download formats
    Dataset updated
    Jul 27, 2023
    Description

    The metrics in this dataset measure users who viewed posts with links to civic news URLs. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes content views, audience size, content attributes, user attributes.

  12. o

    Pro-democracy platform advocacy: A dataset of public Facebook content

    • openicpsr.org
    Updated Oct 26, 2024
    + more versions
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    Mai Van Tran (2024). Pro-democracy platform advocacy: A dataset of public Facebook content [Dataset]. http://doi.org/10.3886/E209902V3
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    Dataset updated
    Oct 26, 2024
    Dataset provided by
    Vrije Universiteit Brussel
    Authors
    Mai Van Tran
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Apr 30, 2024
    Description

    An anonymised dataset of public Burmese, Thai, and Khmer Facebook content posted during March - April 2024. We first looked for public Facebook accounts or keywords associated with Myanmar, Cambodian, and Thai authoritarian content, including pro-regime propaganda, anti-dissident disinformation, promotion of anti-dissident violence, or anti-dissident doxing content. We used CrowdTangle – Meta's own social media monitoring tool – to capture content on a daily basis based on our list of authoritarian accounts and keywords.

  13. Social Media Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Sep 7, 2022
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    Bright Data (2022). Social Media Datasets [Dataset]. https://brightdata.com/products/datasets/social-media
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Sep 7, 2022
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Gain valuable insights with our comprehensive Social Media Dataset, designed to help businesses, marketers, and analysts track trends, monitor engagement, and optimize strategies. This dataset provides structured and reliable social media data from multiple platforms.

    Dataset Features

    User Profiles: Access public social media profiles, including usernames, bios, follower counts, engagement metrics, and more. Ideal for audience analysis, influencer marketing, and competitive research. Posts & Content: Extract posts, captions, hashtags, media (images/videos), timestamps, and engagement metrics such as likes, shares, and comments. Useful for trend analysis, sentiment tracking, and content strategy optimization. Comments & Interactions: Analyze user interactions, including replies, mentions, and discussions. This data helps brands understand audience sentiment and engagement patterns. Hashtag & Trend Tracking: Monitor trending hashtags, topics, and viral content across platforms to stay ahead of industry trends and consumer interests.

    Customizable Subsets for Specific Needs Our Social Media Dataset is fully customizable, allowing you to filter data based on platform, region, keywords, engagement levels, or specific user profiles. Whether you need a broad dataset for market research or a focused subset for brand monitoring, we tailor the dataset to your needs.

    Popular Use Cases

    Brand Monitoring & Reputation Management: Track brand mentions, customer feedback, and sentiment analysis to manage online reputation effectively. Influencer Marketing & Audience Analysis: Identify key influencers, analyze engagement metrics, and optimize influencer partnerships. Competitive Intelligence: Monitor competitor activity, content performance, and audience engagement to refine marketing strategies. Market Research & Consumer Insights: Analyze social media trends, customer preferences, and emerging topics to inform business decisions. AI & Predictive Analytics: Leverage structured social media data for AI-driven trend forecasting, sentiment analysis, and automated content recommendations.

    Whether you're tracking brand sentiment, analyzing audience engagement, or monitoring industry trends, our Social Media Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

  14. s

    Exposure to Facebook Posts with Civic News Domains

    • socialmediaarchive.org
    csv, pdf, xlsx
    Updated Jul 27, 2023
    + more versions
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    (2023). Exposure to Facebook Posts with Civic News Domains [Dataset]. http://doi.org/10.3886/tt1k-sk28
    Explore at:
    xlsx(44149), pdf(724746), csv(76863), xlsx(33969)Available download formats
    Dataset updated
    Jul 27, 2023
    Description

    The metrics in this dataset measure users who viewed posts with links to civic news domains. The dataset contains domain-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes content views, audience size, content attributes, user attributes.

  15. s

    Potential Exposure to Facebook Posts with Civic News Domains

    • socialmediaarchive.org
    csv, pdf, xlsx
    Updated Jul 27, 2023
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    (2023). Potential Exposure to Facebook Posts with Civic News Domains [Dataset]. http://doi.org/10.3886/n197-rt86
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    xlsx(33969), xlsx(44149), pdf(724746), csv(76863)Available download formats
    Dataset updated
    Jul 27, 2023
    Description

    The metrics in this dataset measure users who potentially viewed posts with links to civic news domains that were shared by one of their connections. The dataset contains domain-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes potential audience size, content attributes, user attributes, political interest.

  16. s

    Exposure to and Engagement with Facebook Posts

    • socialmediaarchive.org
    csv, pdf, xlsx
    Updated Jul 27, 2023
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    (2023). Exposure to and Engagement with Facebook Posts [Dataset]. http://doi.org/10.3886/9sqy-ny89
    Explore at:
    csv(115461), xlsx(33969), pdf(724746)Available download formats
    Dataset updated
    Jul 27, 2023
    Description

    This Monthly Active Population (MAP) dataset contains aggregated Facebook interactions for adult US monthly active users.

  17. s

    Engagement with Facebook Posts with Civic News Domains

    • socialmediaarchive.org
    csv, pdf, xlsx
    Updated Jul 27, 2023
    + more versions
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    (2023). Engagement with Facebook Posts with Civic News Domains [Dataset]. http://doi.org/10.3886/zf1g-k017
    Explore at:
    pdf(724746), xlsx(44149), csv(76863), xlsx(33969)Available download formats
    Dataset updated
    Jul 27, 2023
    Description

    The metrics in this dataset measure users who engaged with posts with links to civic news domains and the volume of their engagement. The dataset contains domain-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes content views, audience size, content attributes, user attributes.

  18. w

    APS Facebook Leaderboard

    • data.wu.ac.at
    • data.gov.au
    csv
    Updated Feb 17, 2017
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    Department of the Prime Minister and Cabinet (2017). APS Facebook Leaderboard [Dataset]. https://data.wu.ac.at/odso/data_gov_au/MzM1MmY3NzUtMzFlZi00MDgzLWFiNjYtMTNmYzk2NTU0NmNm
    Explore at:
    csv, csv(4248.0), csv(4252.0), csv(4250.0)Available download formats
    Dataset updated
    Feb 17, 2017
    Dataset provided by
    Department of the Prime Minister and Cabinet
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    This dataset was collected for usage in the Cross Agency Social Media Forum (CASM). The CASM is a collection of social media practitioners across the Australian Public Service (APS). This dataset contains a list of Facebook accounts operated within the APS, as known to the CASM group, along with their followers.

  19. Facebook and Twitter use by University Libraries in New Zealand

    • figshare.com
    xlsx
    Updated Jun 3, 2023
    + more versions
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    Sarah Gallagher (2023). Facebook and Twitter use by University Libraries in New Zealand [Dataset]. http://doi.org/10.6084/m9.figshare.1509856.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Sarah Gallagher
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    This data set comprises Facebook likes and Twitter follower data for social media accounts owned by New Zealand University libraries. This data was collected on 13th August 2015 This data set has been shared “as is”, for educational and research purposes. This file was created and shared by Sarah Gallagher @sarahlibrarina (University of Otago, Dunedin, New Zealand) with a Creative Commons Attribution license (CC-BY) to encourage research in scholarly communication using New Zealand content.

  20. a

    2016 USA Facebook Users (Washington, DC)

    • hub.arcgis.com
    Updated Jun 21, 2017
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    Blue Raster (2017). 2016 USA Facebook Users (Washington, DC) [Dataset]. https://hub.arcgis.com/items/3bcc1db9e863439bad64246000407b5b
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    Dataset updated
    Jun 21, 2017
    Dataset authored and provided by
    Blue Raster
    Area covered
    Description

    This layer shows the market potential that an adult has visited facebook.com in the last 30 days in the U.S. in 2016 in a multiscale map (by country, state, county, ZIP Code, tract, and block group). The pop-up is configured to include the following information for each geography level:Market Potential Index and count of adults expected to visit FacebookMarket Potential Index and count of adults expected to visit various social media websitesMarket Potential Index and count of adults expected to visit various news websitesEsri's 2016 Market Potential (MPI) data measures the likely demand for a product or service in an area. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product or service. An MPI compares the demand for a specific product or service in an area with the national demand for that product or service. The MPI values at the US level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the US average; an index of 80 implies that demand is 20 percent lower than the US average. See Market Potential database to view the methodology statement and complete variable list.Esri's Electronics & Internet Data Collection includes data that measures the likely demand for electronics and internet usage. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product, activity, or service. See the United States Data Browser to view complete variable lists for each Esri demographics collection.Additional Esri Resources:U.S. 2016/2021 Esri Updated DemographicsEssential demographic vocabularyEsri's arcgis.com demographic map layers

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Ron Bowes (Skull Security) (2015). Facebook Names Dataset [Dataset]. https://academictorrents.com/details/e54c73099d291605e7579b90838c2cd86a8e9575

Facebook Names Dataset

Explore at:
185 scholarly articles cite this dataset (View in Google Scholar)
bittorrent(2991052604)Available download formats
Dataset updated
Nov 11, 2015
Dataset authored and provided by
Ron Bowes (Skull Security)
License

https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

Description

171 million names (100 million unique) This torrent contains: The URL of every searchable Facebook user s profile The name of every searchable Facebook user, both unique and by count (perfect for post-processing, datamining, etc) Processed lists, including first names with count, last names with count, potential usernames with count, etc The programs I used to generate everything So, there you have it: lots of awesome data from Facebook. Now, I just have to find one more problem with Facebook so I can write "Revenge of the Facebook Snatchers" and complete the trilogy. Any suggestions? >:-) Limitations So far, I have only indexed the searchable users, not their friends. Getting their friends will be significantly more data to process, and I don t have those capabilities right now. I d like to tackle that in the future, though, so if anybody has any bandwidth they d like to donate, all I need is an ssh account and Nmap installed. An additional limitation is that these are on

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