Santa Fe , United States
Conference Dates: Oct 27, 2022 - Oct 30, 2022
The primary areas of discussion in Computational Social Science are Social media, Big data, Artificial intelligence, Computational linguistics and Politics. While Social media is the focus of the conference, it also provided insights into the studies of Social psychology, Internet privacy, Misinformation, Advertising and Computational sociology. Some problems in Big data that were presented in it overlapped with concepts under Complex system and Data science.
Computational Social Science explores topics in Artificial intelligence which can be helpful for research in disciplines like Machine learning and Natural language processing. Research on Natural language processing addressed in it frequently intersections with the field of Word (computer architecture). Most of the Politics studies addressed also intersect with Public relations.
The published articles mainly tackle studies in Social media, Big data, Internet privacy, Artificial intelligence and Data science. The conference articles explore issues in Social media which can be linked to other research areas like Social psychology, Social equality, Computational sociology and Media studies. The works on Artificial intelligence tackled in the most cited publications bring together disciplines like Natural language processing, Speech recognition, Identity (object-oriented programming), Machine learning and Focus (computing).
A key indicator for each conference 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 at Computational Social Science (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at Computational Social Science (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
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 2018 edition, 19.70% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 37.74% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.09% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 35.85% of all publications and 11.32% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.
Nov 04, 2021 - Nov 07, 2021
Oct 27, 2022 - Oct 30, 2022
Santa Fe , United States, United States
The Computational Social Science Society Annual Conference
Thank you for information!