Published by: Elsevier
https://www.journals.elsevier.com/online-social-networks-and-media
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 463 | 39 | 40 | 13 |
| Social Sciences and Humanities | 1067 | 6 | 7 | 5 |
Online Social Networks and Media facilitates discussions on Social media, Internet privacy, Social network, Data science and Artificial intelligence. The work on Social media tackled in Online Social Networks and Media brings together disciplines like Context (language use) and Popularity. The journal links adjacent topics like Context (language use) with Social network analysis.
Issues in Internet privacy were discussed, taking into consideration concepts from other disciplines like Misinformation, Information leakage and Personally identifiable information. The close relationship between The Internet and Mobile device is one of the points of interest dissected in Misinformation research. In the journal, Social influence and Collaborative filtering are investigated in conjunction with one another to address concerns in Social network research.
Data science research presented in it encompasses a variety of subjects, including Control (management), Predictive power and Journalism. The presented Artificial intelligence research focuses mostly on Machine learning and, on occasion, topics in PageRank. The study on World Wide Web presented is investigated in conjunction with research in Exploit.
The published articles focus largely on the fields of Internet privacy, Data science, Misinformation, Exploit and Control (management). The journal articles facilitate discussions on Internet privacy that incorporate concepts from other fields like Variety (cybernetics) and Privacy preserving. The most cited papers focus on Misinformation but the discussions also offer insight into other areas such as Sentiment analysis, Advertising and Network science.
Social media, Internet privacy, Disinformation, Context (language use) and Misinformation are among the topics commonly tackled in Online Social Networks and Media. While the journal focused on Social media, it was also able to explore topics like Data science, Popularity and Artificial intelligence. The research on Data science tackled can also make contributions to studies in the areas of Topic model and Fake news.
The studies in Internet privacy featured incorporate elements of Information leakage and Social network. Disinformation research featured in Online Social Networks and Media incorporates concerns from various other topics such as Codebook, The Internet and Media studies. The Context (language use) works featured in the journal incorporate elements from Social network analysis and Empirical research.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Online Social Networks and Media (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Online Social Networks and Media (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 10.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.93% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 48.15% of all publications and 14.81% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Considering the multiple influential subjects and robust research presented in the journal, many aspiring educators and researchers might be interested in contributing to Online Social Networks and Media. To contribute effectively, a strong foundational knowledge in related subjects such as Social media, Internet privacy, and Social network analysis is essential. For educators interested in these topics, gaining experience teaching relevant courses can provide the necessary background and skills. For instance, teaching high school English, with a focus on digital literacy and critical engagement with online media, can provide a useful foundation. Find out more on how to become a high school English teacher in Idaho. Once equipped with appropriate teaching experience and subject knowledge, potential contributors can focus on staying up-to-date with the latest trends and advancements in the field. Regular perusal of related research and publications can provide deeper insights. Additionally, participating in discussions and forums associated with Online Social Networks and Media can enrich one’s understanding and familiarity with the nuances of the subject, thus enhancing the quality of the potential contribution to the journal. Becoming a contributor not only expands one’s professional network but also offers chances to impact the global discourse around critical societal issues linked to social media and online networks. Engage, learn, and contribute to enrich the dialogue in Online Social Networks and Media.
Zulfikar Alom;Barbara Carminati;Elena Ferrari
(2020)Michael Robert Haupt;Alex Jinich-Diamant;Jiawei Li;Matthew Nali
(2021)Jieyu D. Featherstone;George A. Barnett;Jeanette B. Ruiz;Yurong Zhuang
(2020)Stelios Andreadis;Gerasimos Antzoulatos;Thanassis Mavropoulos;Panagiotis Giannakeris
(2021)Carlos Henrique Gomes Ferreira;Carlos Henrique Gomes Ferreira;Carlos Henrique Gomes Ferreira;Fabricio Murai;Ana Paula Couto. Silva;Jussara M. Almeida
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