| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Social Sciences and Humanities | 205 | 39 | 60 | 15 |
| Computer Science | 691 | 13 | 18 | 8 |
The foci of Social Networks are Social psychology, Social network, Artificial intelligence, Centrality and Theoretical computer science. While Social psychology is the focus of the journal, it also provided insights into the studies of Developmental psychology and Structure (mathematical logic). It addresses concerns in Social network which are intertwined with other disciplines, such as Social relation and Data science.
Artificial intelligence study tackled is connected to the field of Machine learning. Betweenness centrality, Katz centrality and Random walk closeness centrality are some of the study areas of Centrality discussed.
The journal articles primarily focus on research topics in Social psychology, Social network, Centrality, Artificial intelligence and Theoretical computer science. The journal articles explore research in Social psychology alongside concepts in Structure (mathematical logic) and other areas of study in Data science. The most cited papers address concerns in the field of Centrality by exploring it in line with topics in Network theory which intersect with Network science subjects.
The topics of Social psychology, Homophily, Data science, Exponential random graph models and Theoretical computer science are the focal point of discussions in the journal. The studies on Social psychology discussed can also contribute to research in the domains of Social environment, Survey data collection and Anxiety. Homophily research featured in it incorporates concerns from various other topics such as Homogeneity (statistics), Selection (genetic algorithm) and Economic geography.
The Data science research presented in the journal explores the relationship between Social structure and the closely related topic of Respondent, Polarization (politics) and Cognition. The research on Exponential random graph models featured in the journal combines topics in other fields like Collective action, Recommender system, Positive economics and Network analyst. Structure (category theory), Structure (mathematical logic), Iterated function and Equivalence (measure theory) are some topics wherein Theoretical computer science research discussed in Social Networks have an impact.
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 Social Networks (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 Social Networks (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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.71% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 50.00% 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.
If you're a student or professional interested in contributing to our journal, it's important to familiarize yourself with the guidelines provided by the publication. Doing so will strengthen your submission and increase the chances of it being accepted.
The first step is to ensure your research aligns with the topics currently in focus in the journal. This could range from Social psychology, Social network, to Artificial intelligence, Centrality, and Theoretical computer science sections, amongst others. It may be helpful to review our most-cited papers to understand the depth of research required.
Before you prepare your manuscript, we recommend that all prospective authors review the submission guidelines for manuscript preparation. Here, you will find formatting requirements, citation style guidelines, and other important details that must be adhered to. You should also check the guidelines for authors' biographical information, as some journals require this in the submission.
In addition, if you're a student pursuing a degree relevant to the topics of our journal such as Marriage and Family Therapy, it might be beneficial to gain practical experience in the field before conducting research and submitting a paper. Have a look at Marriage counselor education requirements in Ohio for useful insights into this path.
Finally, keep in mind that writing and submitting a research paper to our journal requires a significant time commitment. Make sure you're able to dedicate sufficient time to the research and writing process before you decide to submit.
Claude S. Fischer;Shira Offer
(2020)Rozemarijn van der Ploeg;Christian Steglich;René Veenstra
(2020)Ronald S. Burt;Ray E. Reagans;Hagay C. Volvovsky
(2021)Robert W. Krause;Mark Huisman;Christian Steglich;Christian Steglich;Tom A. B. Snijders
(2020)Jesper J. Rözer;Bas Hofstra;Matthew E. Brashears;Beate Volker
(2020)Michelle Birkett;Joshua R. Melville;Patrick Janulis;Gregory Lee Phillips
(2021)Martin G. Everett;Stephen P. Borgatti
(2020)Marina Tulin;Gerald Mollenhorst;Beate Volker
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