Recent Advances in Social Networks and Social Media

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 30 June 2025 | Viewed by 524

Special Issue Editor


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Guest Editor
Department of Computer Science and Software Engineering, Concordia University, Montreal, QC H3G 1M8, Canada
Interests: combinatorics of networks; algorithmic graph theory; parallel and distributed algorithms

Special Issue Information

Dear Colleagues,

Studies of social networks have been conducted for a century in a variety of disciplines such as sociology, psychology, economics, and anthropology. The recent advances in Internet, the social web, and other large-scale social and technological infrastructure have triggered a growing interest and significant methodological advancements in social network analysis and mining. Inspired by these research problems, new methods from graph theory, machine learning and data mining, statistics, and statistical mechanics have been developed, which in turn opens up further possibilities for more interesting applications. These have led to a rising prominence of analysis of social networks and social media using different methods and tools from academia, business, and politics.

We are excited to announce a Special Issue of the journal Computers on the topic of "Recent Advances in Social Networks and Social Media". This Special Issue aims to bring together the latest research on recent developments in social networks and social media. We welcome novel research articles, comprehensive reviews, and survey articles. Extended conference papers are also welcome. They should contain at least 50% of new material, e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases.

Topics of interest include, but are not limited to:

  • network formation;
  • social networks;
  • network experiments;
  • local interaction games;
  • non-cooperative games;
  • real-world complex networks analysis;
  • pattern analysis in social networks;
  • temporal networks;
  • information diffusion models;
  • reputation and trust in social media;
  • social influence, recommendation, and media.

Prof. Dr. Hovhannes Harutyunyan
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. Computers 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 1800 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

  • network formation
  • social networks
  • network experiments
  • local interaction games
  • non-cooperative games
  • real-world complex networks analysis
  • pattern analysis in social networks
  • temporal networks
  • information diffusion models
  • reputation and trust in social media
  • social influence, recommendation, and media

Published Papers (1 paper)

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Research

20 pages, 298 KiB  
Article
Teachers’ Needs for Support during Emergency Remote Teaching in Greek Schools: Role of Social Networks
by Stefanos Nikiforos, Eleftheria Anastasopoulou, Athina Pappa, Spyros Tzanavaris and Katia Lida Kermanidis
Computers 2024, 13(7), 177; https://doi.org/10.3390/computers13070177 - 18 Jul 2024
Viewed by 282
Abstract
The onset of the COVID-19 pandemic prompted a rapid shift to Emergency Remote Teaching (ERT). Social networks had a key role in supporting the educational community in facing challenges and opportunities. A quantitative study was conducted to assess the Greek teachers’ perceptions of [...] Read more.
The onset of the COVID-19 pandemic prompted a rapid shift to Emergency Remote Teaching (ERT). Social networks had a key role in supporting the educational community in facing challenges and opportunities. A quantitative study was conducted to assess the Greek teachers’ perceptions of social network support. Findings indicated that teachers turned to universities, educational institutions, the Ministry of Education, school support groups, and virtual communities for support. Additionally, the study revealed the barriers faced by teachers, including infrastructure limitations, technical difficulties, skill deficiencies, problems with students’ engagement, and school policies. Teachers’ evaluation of support regarding ERT provided fruitful insight. The results illustrate teachers’ perspectives on ERT, contributing to the ongoing discourse on educational resilience to unpredictable disruptions. In conclusion, the role of social networks was considered as critical for the teachers to overcome barriers during ERT with the formation of social communities for support and the sharing of common experiences. Expertise in internet use and social networking played a significant role in readiness for the abrupt shift to distance education. The present study uniquely contributes to the educational field by emphasizing the role of teachers’ support as an innovative approach to holistically enhance teachers’ performance in ERT. Full article
(This article belongs to the Special Issue Recent Advances in Social Networks and Social Media)
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