research-article

Studying Facebook via data extraction: the Netvizz application

Author:

Bernhard RiederAuthors Info & Claims

WebSci '13: Proceedings of the 5th Annual ACM Web Science Conference

Pages 346 - 355

https://doi.org/10.1145/2464464.2464475

Published: 02 May 2013 Publication History

Abstract

This paper describes Netvizz, a data collection and extraction application that allows researchers to export data in standard file formats from different sections of the Facebook social networking service. Friendship networks, groups, and pages can thus be analyzed quantitatively and qualitatively with regards to demographical, post-demographical, and relational characteristics. The paper provides an overview over analytical directions opened up by the data made available, discusses platform specific aspects of data extraction via the official Application Programming Interface, and briefly engages the difficult ethical considerations attached to this type of research.

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Digital Library

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Cited By

Lima-Lopes R(2025)Lexical Patterns of Religious Conservatism: A Study of Social Media Reactions to an Art Exhibition in BrazilDigital Studies / Le champ numérique10.16995/dscn.1513215:1Online publication date: 5-Mar-2025
https://doi.org/10.16995/dscn.15132
Ramón-Pinat E(2024)Barricades against Evictions: Coexistence of Short- and Long-term Frames in the Housing Movement on Facebook and TwitterPalabra Clave10.5294/pacla.2024.27.2.327:2(1-29)Online publication date: 24-May-2024
https://doi.org/10.5294/pacla.2024.27.2.3
Ahmed SJaidka KChen VCai MChen AEmes CYu VChib A(2024)Social media and anti-immigrant prejudice: a multi-method analysis of the role of social media use, threat perceptions, and cognitive abilityFrontiers in Psychology10.3389/fpsyg.2024.128036615Online publication date: 13-Mar-2024
https://doi.org/10.3389/fpsyg.2024.1280366
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Index Terms

Studying Facebook via data extraction: the Netvizz application
1. Applied computing
  1. Law, social and behavioral sciences

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Published In

cover image ACM Conferences

WebSci '13: Proceedings of the 5th Annual ACM Web Science Conference

May 2013

481 pages

ISBN:9781450318891

DOI:10.1145/2464464

Conference Chairs:
Hugh Davis
University of Southampton
,
Harry Halpin
World Wide Web Consortium
,
Alex Pentland,
Program Chairs:
Mark Bernstein,
Lada Adamic,
Harith Alani,
Alexandre Monnin,
Richard Rogers

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

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Published: 02 May 2013

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WebSci '13: Web Science 2013

May 2 - 4, 2013

Paris, France

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Overall Acceptance Rate 245 of 933 submissions, 26%

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Cited By

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https://doi.org/10.16995/dscn.15132
Ramón-Pinat E(2024)Barricades against Evictions: Coexistence of Short- and Long-term Frames in the Housing Movement on Facebook and TwitterPalabra Clave10.5294/pacla.2024.27.2.327:2(1-29)Online publication date: 24-May-2024
https://doi.org/10.5294/pacla.2024.27.2.3
Ahmed SJaidka KChen VCai MChen AEmes CYu VChib A(2024)Social media and anti-immigrant prejudice: a multi-method analysis of the role of social media use, threat perceptions, and cognitive abilityFrontiers in Psychology10.3389/fpsyg.2024.128036615Online publication date: 13-Mar-2024
https://doi.org/10.3389/fpsyg.2024.1280366
Sajid MJaved JWarraich N(2024)The Role of Facebook in Shaping Voting Behavior of Youth: Perspective of a Developing CountrySage Open10.1177/2158244024125221314:2Online publication date: 20-May-2024
https://doi.org/10.1177/21582440241252213
Stravato Emes C(2024)Is it about “them”? leveraging big data research to understand anti-immigrant discourseBig Data & Society10.1177/2053951724124943211:2Online publication date: 13-May-2024
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Almutairi SAbohashrh MRazzaq HZulqarnain MNamoun AKhan F(2024)A Hybrid Deep Learning Model for Predicting Depression Symptoms From Large-Scale Textual DatasetIEEE Access10.1109/ACCESS.2024.349674112(168477-168499)Online publication date: 2024
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