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Social Network Analysis as a Tool for Data Analysis and Visualization in Information Behaviour and Interactive Information Retrieval Research

Published: 14 March 2020 Publication History

Abstract

Social network analysis (SNA) is an empirical approach and a set of techniques that investigates actors, their dyadic links and the network they form. In this half-day tutorial, participants will learn about social network analysis as a tool for data analysis and visualization and how it can be applied in studies of information behaviour and interactive information retrieval. Participants will learn about its theoretical substantiation and gain practical experience by applying these theoretical concepts in a hands-on session using the open-source software Gephi.

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    cover image ACM Conferences
    CHIIR '20: Proceedings of the 2020 Conference on Human Information Interaction and Retrieval
    March 2020
    596 pages
    ISBN:9781450368926
    DOI:10.1145/3343413
    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 ACM 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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    Published: 14 March 2020

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    Author Tags

    1. information behaviour
    2. interactive information retrieval
    3. social network analysis

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