Submission Deadline: Monday 12 Sep 2022
Conference Dates: Dec 05, 2022 - Dec 07, 2022
The conference investigates areas of study like Artificial intelligence, Mathematical optimization, Social media, Maximization and Theoretical computer science. The conference explores topics in Artificial intelligence which can be helpful for research in disciplines like Machine learning, Graph (abstract data type) and Natural language processing. Machine learning research presented in the event encompasses a variety of subjects, including Classifier (UML) and Benchmark (computing).
Some problems in Graph (abstract data type) that were presented in it overlapped with concepts under Information retrieval and Social network. Language model and Sentiment analysis are all disciplines of Natural language processing that connect with topics in Vietnamese. Node (networking), Upper and lower bounds and Metric (mathematics) are some topics wherein Mathematical optimization research discussed in the conference have an impact.
The conference focuses on Social media but the discussions also offer insight into other areas such as Data science and Fake news, Internet privacy. The studies in Maximization featured incorporate elements of Submodular set function and Relaxation (approximation). Topics in Theoretical computer science were tackled in line with various other fields like Embedding, Malware and Degree (graph theory).
The conference publications are organized to address concerns in the fields of Artificial intelligence, Theoretical computer science, Graph (abstract data type), Deep learning and Similarity measure. The published papers facilitate discussions on Theoretical computer science that incorporate concepts from other fields like Betweenness centrality and Malware. While Deep learning is the focus of the conference articles, it also provides insights into the studies of Social media and Internet privacy.
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 International Conference Computational Data and Social Networks (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 International Conference Computational Data and Social Networks (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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.
Dec 11, 2022 - Dec 13, 2022
Deadline: Saturday 12 Aug 2023
Nov 15, 2021 - Nov 17, 2021
International Conference on Computational Data and Social Networks
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