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International Conference on Advances in Social Network Analysis and Mining

International Conference on Advances in Social Network Analysis and Mining

Turkey , Turkey

Submission Deadline: Sunday 26 Jun 2022

Conference Dates: Nov 10, 2022 - Nov 13, 2022

Research
Impact Score 0.90

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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: 0.90
Contributing Best Scientists: 8
H5-index:
Papers published by Best Scientists 13
Research Ranking (Computer Science) 107
Research Ranking (Psychology) 41
Research Ranking (Social Sciences and Humanities) 10

Conference Call for Papers

More specialized topics within ASONAM 2022 include, but are not limited to:

Techniques
- Data collection and quality
- Big data and scalability
- Deep learning and embeddings
- Statistical learning
- Algorithms and techniques
- Visualization
- Modeling and simulation
- Explainable network analysis
Problems
- Centrality and roles
- Community detection
- Link prediction
- Information diffusion
- Influence propagation
- Anomaly detection
- Network macro structures
- Network evolution
- Emergence
- Privacy and security
- Collective behavior
- Crowd sourcing
- Social Recommender Systems
- Misinformation and Misbehavior Analysis and Detection
- Reputation and Trust in Social Networks
- Fairness Bias and Transparency in Social Media
Application domains
- Attributed networks
- Online and offline social networks
- Multirelational, multidimensional, multi-aspect, multilayer networks
- Feature-rich networks
- Time-evolving networks
- Probabilistic networks
- Semantic networks
- Social geography and spatial networks
- Social, cultural, and cyber anthropology
- Policy impact and analysis
- Networks in biology and ecology
- Digital Humanities

Overview

Top Research Topics at Advances in Social Networks Analysis and Mining?

  • Social network (20.06%)
  • Artificial intelligence (19.34%)
  • World Wide Web (19.11%)

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.

What are the most cited papers published at the conference?

  • Tracking the Evolution of Communities in Dynamic Social Networks (396 citations)
  • Co-author Relationship Prediction in Heterogeneous Bibliographic Networks (352 citations)
  • Prying Data out of a Social Network (200 citations)

Research areas of the most cited articles at Advances in Social Networks Analysis and Mining:

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.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Law
  • The Internet

The previous edition focused in particular on these issues:

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.

The most cited articles from the last conference are:

  • Prying Data out of a Social Network (200 citations)
  • Analyzing the digital traces of political manipulation: the 2016 russian interference Twitter campaign (142 citations)
  • Local Community Identification in Social Networks (123 citations)

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 Advances in Social Networks Analysis and Mining (based on the number of publications) are:

  • Reda Alhajj (21 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Bin Wu (17 papers) published 3 papers at the last edition the same number as at the previous edition,
  • V. S. Subrahmanian (15 papers) absent at the last edition,
  • Przemysław Kazienko (14 papers) absent at the last edition,
  • Jaideep Srivastava (12 papers) published 2 papers at the last edition, 1 more than at the previous 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 Advances in Social Networks Analysis and Mining (based on the number of publications) are:

  • Arizona State University (33 papers) absent at the last edition,
  • Carnegie Mellon University (32 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • University of Calgary (28 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Beijing University of Posts and Telecommunications (26 papers) published 3 papers at the last edition the same number as at the previous edition,
  • University of Maryland, College Park (24 papers) absent 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 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.

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

Previous Editions

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