Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Computer Science
- Computer Networks and Communications
- Computer Science Applications

Engineering
- Electrical and Electronic Engineering

Physics and Astronomy
- Atomic and Molecular Physics, and Optics
- Nuclear and High Energy Physics

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

The 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining The study of social networks originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant messaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a rising prominence of SNAM in academia, politics, homeland security and business. This follows the pattern of known entities of our society that have evolved into networks in which actors are increasingly dependent on their structural embedding. The international conference on Advances in Social Network Analysis and Mining (ASONAM 2015) will primarily provide an interdisciplinary venue that will bring together practitioners and researchers from a variety of SNAM fields to promote collaborations and exchange of ideas and practices. ASONAM 2015 is intended to address important aspects with a specific focus on the emerging trends and industry needs associated with social networking analysis and mining. The conference solicits experimental and theoretical works on social network analysis and mining along with their application to real life situations. Full papers will be reviewed and assessed by the program committee and a "Best Paper Award" ceremony will be organized at the banquet.

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SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2016	0.225
2017	0.244
2018	0.259

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2016	0
2017	0
2018	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2016	1.146
Cites / Doc. (4 years)	2017	1.552
Cites / Doc. (4 years)	2018	1.678
Cites / Doc. (3 years)	2016	1.146
Cites / Doc. (3 years)	2017	1.552
Cites / Doc. (3 years)	2018	1.678
Cites / Doc. (2 years)	2016	1.146
Cites / Doc. (2 years)	2017	1.552
Cites / Doc. (2 years)	2018	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2016	0
Self Cites	2017	0
Self Cites	2018	0
Total Cites	2016	299
Total Cites	2017	405
Total Cites	2018	438

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2016	1.146
External Cites per document	2017	1.552
External Cites per document	2018	1.678
Cites per document	2016	1.146
Cites per document	2017	1.552
Cites per document	2018	1.678

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2016	0
2017	0
2018	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2016	7
Non-citable documents	2017	7
Non-citable documents	2018	7
Citable documents	2016	254
Citable documents	2017	254
Citable documents	2018	254

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2016	128
Uncited documents	2017	117
Uncited documents	2018	105
Cited documents	2016	133
Cited documents	2017	144
Cited documents	2018	156

% Female Authors

Evolution of the percentage of female authors.

Year	Female Percent
2016	0.00
2017	0.00
2018	0.00

Documents cited by public policy (Overton)

Evolution of the number of documents cited by public policy documents according to Overton database.

Documents	Year	Value
Overton	2016	0
Overton	2017	0
Overton	2018	0

Documents related to SDGs (UN)

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

Documents	Year	Value
SDG	2018	0

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