|Country||Austria - SIR Ranking of Austria||
|Subject Area and Category||Computer Science|
Computer Science Applications
|Scope||Social Network Analysis and Mining (SNAM) is a multidisciplinary journal serving researchers and practitioners in academia and industry. It is the main venue for a wide range of researchers and readers from computer science, network science, social sciences, mathematical sciences, medical and biological sciences, financial, management and political sciences. We solicit experimental and theoretical work on social network analysis and mining using a wide range of techniques from social sciences, mathematics, statistics, physics, network science and computer science. The main areas covered by SNAM include: (1) data mining advances on the discovery and analysis of communities, personalization for solitary activities (e.g. search) and social activities (e.g. discovery of potential friends), the analysis of user behavior in open forums (e.g. conventional sites, blogs and forums) and in commercial platforms (e.g. e-auctions), and the associated security and privacy-preservation challenges; (2) social network modeling, construction of scalable and customizable social network infrastructure, identification and discovery of complex, dynamics, growth, and evolution patterns using machine learning and data mining approaches or multi-agent based simulation; (3) social network analysis and mining for open source intelligence and homeland security. Papers should elaborate on data mining and machine learning or related methods, issues associated to data preparation and pattern interpretation, both for conventional data (usage logs, query logs, document collections) and for multimedia data (pictures and their annotations, multi-channel usage data). Topics include but are not limited to: Applications of social network in business engineering, scientific and medical domains, homeland security, terrorism and criminology, fraud detection, public sector, politics, and case studies.|
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The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.
|Computer Science Applications||2012||Q3|
|Computer Science Applications||2013||Q2|
|Computer Science Applications||2014||Q2|
|Computer Science Applications||2015||Q2|
|Computer Science Applications||2016||Q2|
|Computer Science Applications||2017||Q3|
|Computer Science Applications||2018||Q3|
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.
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)||2011||0.000|
|Cites / Doc. (4 years)||2012||3.080|
|Cites / Doc. (4 years)||2013||4.533|
|Cites / Doc. (4 years)||2014||2.258|
|Cites / Doc. (4 years)||2015||1.917|
|Cites / Doc. (4 years)||2016||2.112|
|Cites / Doc. (4 years)||2017||1.876|
|Cites / Doc. (4 years)||2018||1.780|
|Cites / Doc. (3 years)||2011||0.000|
|Cites / Doc. (3 years)||2012||3.080|
|Cites / Doc. (3 years)||2013||4.533|
|Cites / Doc. (3 years)||2014||2.258|
|Cites / Doc. (3 years)||2015||1.885|
|Cites / Doc. (3 years)||2016||2.167|
|Cites / Doc. (3 years)||2017||1.368|
|Cites / Doc. (3 years)||2018||1.684|
|Cites / Doc. (2 years)||2011||0.000|
|Cites / Doc. (2 years)||2012||3.080|
|Cites / Doc. (2 years)||2013||4.533|
|Cites / Doc. (2 years)||2014||2.056|
|Cites / Doc. (2 years)||2015||1.953|
|Cites / Doc. (2 years)||2016||1.542|
|Cites / Doc. (2 years)||2017||1.220|
|Cites / Doc. (2 years)||2018||1.612|
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.
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.
|External Cites per document||2011||0|
|External Cites per document||2012||1.400|
|External Cites per document||2013||1.644|
|External Cites per document||2014||1.720|
|External Cites per document||2015||1.801|
|External Cites per document||2016||2.008|
|External Cites per document||2017||1.322|
|External Cites per document||2018||1.590|
|Cites per document||2011||0.000|
|Cites per document||2012||3.080|
|Cites per document||2013||4.533|
|Cites per document||2014||2.258|
|Cites per document||2015||1.885|
|Cites per document||2016||2.167|
|Cites per document||2017||1.368|
|Cites per document||2018||1.684|
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.
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.
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.