Graph Algorithms for Social Network Analysis

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Combinatorial Optimization, Graph, and Network Algorithms".

Deadline for manuscript submissions: closed (29 July 2023) | Viewed by 2316

Special Issue Editor


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Guest Editor
Department of Computer Science, University of Salerno, 84084 Fisciano, Salerno, Italy
Interests: design and analysis of algorithms; network algorithms; social network analysis; parameterized algorithms and complexity; combinatorial structures
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Special Issue Information

Dear Colleagues,

Social networks have radically changed the way people produce and consume online information, further enabling new forms of interaction between people, objects, information, and services. On the other hand, the vast amount of data available from many online agents and sources has created an opportunity to address both new and longstanding questions.

However, if people and their social interactions can be represented as a graph, then the analysis of a social network undergoes network and graph theory.

This Special Issue encourages submissions in all areas of graph theory and algorithms and social network analysis. The focus is on the investigation of graph-based techniques for social networks with the aim of developing algorithms to make these systems more effective and efficient.

Dr. Adele Anna Rescigno
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • algorithms for web and social graph representation
  • algorithms for graph and subgraph identification
  • analysis of heterogeneous, signed, and attributed networks
  • algorithms for influence propagation and information diffusion
  • algorithms for community-based networks
  • approximation algorithms and inapproximability results
  • parameterized algorithms and complexity

Published Papers (1 paper)

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Research

21 pages, 1090 KiB  
Article
Reddit CrosspostNet—Studying Reddit Communities with Large-Scale Crosspost Graph Networks
by Jan Sawicki, Maria Ganzha, Marcin Paprzycki and Yutaka Watanobe
Algorithms 2023, 16(9), 424; https://doi.org/10.3390/a16090424 - 4 Sep 2023
Cited by 1 | Viewed by 1656
Abstract
As the largest open social medium on the Internet, Reddit is widely studied in the scientific literature. Due to its structured form and division into topical subfora (subreddits), conducted research often concerns connections and interactions between users and/or whole, subreddit-structure-based communities. Overall, the [...] Read more.
As the largest open social medium on the Internet, Reddit is widely studied in the scientific literature. Due to its structured form and division into topical subfora (subreddits), conducted research often concerns connections and interactions between users and/or whole, subreddit-structure-based communities. Overall, the relations between communities are most often studied by applying graph networks, with various creation algorithms. In this work, a novel approach is proposed to build and understand the structure of Reddit. It is based on crossposts—posts that appeared on one subreddit and then were crossposted to another. After capturing one year of crossposts, a directed weighted graph network, using seven million posts from over 10,000 of the most popular subreddits, has been created. Using graph network algorithms, its characteristics are captured and compared to similar studies. We identify the information “sinks” and “sources”—the most active crossposting subreddits. Moreover, we obtained graph network metrics: the degree (modeled with the Power Law), clustering, community detection algorithms, and connected components structure network are compared to previous studies on Reddit network(s), yielding consistent, but also novel results. Finally, the relations between extensively studied subreddits (e.g., r/AITA, r/Parenting, r/politics) and new ones, which were not accounted for in previous research, opening new paths for data-driven studies, are summarized. Full article
(This article belongs to the Special Issue Graph Algorithms for Social Network Analysis)
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