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International Conference on Computational Data and Social Networks

International Conference on Computational Data and Social Networks

Online

Submission Deadline: Monday 12 Sep 2022

Conference Dates: Dec 05, 2022 - Dec 07, 2022

Research
Impact Score 1.20

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 1.20
Contributing Best Scientists: 15
H5-index:
Papers published by Best Scientists 18
Research Ranking (Computer Science) 641

Conference Call for Papers

Topics of interest include, but are not limited to:

Real-world Complex Networks Analysis
Trends and Pattern Analysis in Social Networks
Representation Learning on Networks
Big Data Analysis
Mathematical Modeling and Analysis of Real-world Social Platforms
Network Structure Analysis and Dynamics Optimization
Data Network Design and Architecture
Information Diffusion Models and Techniques
Security and Privacy in Data Networks
Efficient Algorithms for Large-scale Data Networks Computing
Reputation and Trust in Social Media
Social Influence, Recommendation, and Media
Applications of Complex Data Network Analysis
Energy Efficiency in Mobile Data Networks
Natural Language Understanding for Social Media
E-commerce and Social Media Marketing
Deep Learning on Graphs and its Application
Stock Market Prediction and Stock Recommendation with Social Media Data
Anomaly Detection, Security, and Privacy in Big Data Networks
Analysis of signed and attributed real-world networks
Multidimensional graph analysis
Algorithmic fairness in social network analysis and graph mining.

Overview

Top Research Topics at International Conference Computational Data and Social Networks?

  • Artificial intelligence (24.10%)
  • Mathematical optimization (14.46%)
  • Social media (14.46%)

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).

What are the most cited papers published at the conference?

  • Graph Convolutional Networks: Algorithms, Applications and Open Challenges (29 citations)
  • Graph-Based Comparison of IoT and Android Malware (23 citations)
  • Efficient SDN-Based Traffic Monitoring in IoT Networks with Double Deep Q-Network (18 citations)

Research areas of the most cited articles at International Conference Computational Data and Social Networks:

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.

Papers citation over time

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.

Research.com

The top authors publishing at International Conference Computational Data and Social Networks (based on the number of publications) are:

  • Soon Ae Chun (1 papers) published 1 paper at the last edition,
  • Aziz Mohaisen (1 papers) published 1 paper at the last edition,
  • Jinchun Choi (1 papers) published 1 paper at the last edition,
  • Jeman Park (1 papers) published 1 paper at the last edition,
  • Jiejun Xu (1 papers) published 1 paper at the last edition.

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.

Research.com

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:

  • City College of New York (1 papers) published 1 paper at the last edition,
  • City University of New York (1 papers) published 1 paper at the last edition,
  • Inha University (1 papers) published 1 paper at the last edition,
  • University of Central Florida (1 papers) published 1 paper at the last edition,
  • New Jersey Institute of Technology (1 papers) published 1 paper at the last edition.

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.

Research.com

Publication chance based on affiliation

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.

Research.com

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.

Returning Authors Index

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.

Research.com

Returning Institution Index

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.

Research.com

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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