Turkey , Turkey
Submission Deadline: Sunday 26 Jun 2022
Conference Dates: Nov 10, 2022 - Nov 13, 2022
Advances in Social Networks Analysis and Mining focuses on Social network, Artificial intelligence, World Wide Web, Social media and Data mining. The featured works in Social network analysis, which all belong in the domain if Social network, also overlaps with concepts under Electronic mail. The studies in Artificial intelligence featured incorporate elements of Machine learning and Natural language processing.
Some problems in World Wide Web that were presented in the conference overlapped with concepts under Popularity and Information retrieval. While Social media is the focus of the conference, it also provided insights into the studies of Sentiment analysis, Event (computing) and Internet privacy. Topics in Data mining were tackled in line with various other fields like Graph theory, Theoretical computer science and Cluster analysis.
It explores topics in Theoretical computer science which can be helpful for research in disciplines like Graph (abstract data type) and Complex network.
The published papers mainly tackle studies in World Wide Web, Social media, Social network, Artificial intelligence and Data mining. The World Wide Web research tackled in the published articles is interrelated with Internet privacy which concerns subjects like Exploit. The published articles explore research in Data science and overlapping concepts in Identification (information) to expand the discourse in Social media.
Advances in Social Networks Analysis and Mining aims to foster the development of research in Social media, Social network, Artificial intelligence, Data science and Theoretical computer science. The work on Social media tackled in the event brings together disciplines like Sentiment analysis, Internet privacy, Advertising, Information retrieval and Politics. Information retrieval works presented in Advances in Social Networks Analysis and Mining have a specific focus on Recommender system.
The Social network research presented falls under the domain of World Wide Web. The event explores issues in Artificial intelligence which can be linked to other research areas like Machine learning, Task analysis and Natural language processing. In Advances in Social Networks Analysis and Mining, Node (networking), Embedding and Graph (abstract data type) are investigated in conjunction with one another to address concerns in Theoretical computer science research.
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 Advances in Social Networks Analysis and Mining (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 Advances in Social Networks Analysis and Mining (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 2017 edition, 2.38% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.32% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.80% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.05% of all publications and 66.83% 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 15, 2021 - Nov 15, 2021
Hague , Netherlands, Netherlands
Nov 10, 2022 - Nov 13, 2022
Turkey , Turkey, Turkey
International Conference on Advances in Social Network Analysis and Mining
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