ISSN: 1869-5450

Journal Guideline

Social Network Analysis and Mining Q1 Unclaimed

Springer-Verlag Wien Austria

Unfortunately this journal has not been claimed yet. For this reason, some information may be unavailable.

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. 92% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again It has an SJR impact factor of 0,624.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Communication (Q1) Media Technology (Q1) Computer Science Applications (Q2) Human-Computer Interaction (Q2) Information Systems (Q2)

Price

2290 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

0,624

SJR Impact factor

54

H Index

238

Total Docs (Last Year)

441

Total Docs (3 years)

12413

Total Refs

2084

Total Cites (3 years)

441

Citable Docs (3 years)

4.52

Cites/Doc (2 years)

52.16

Ref/Doc

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Aims and Scope

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Model for generating artificial social networks having community structures with small-world and scale-free properties

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Power-law distributions of attributes in community detection

Social system as complex networks

An author is known by the context she keeps: significance of network motifs in scientific collaborations

Other times, other values: leveraging attribute history to link user profiles across online social networks

Embassies burning: toward a near-real-time assessment of social media using geo-temporal dynamic network analytics

New measures for characterizing the significance of nodes in wireless ad hoc networks via localized path-based neighborhood analysis

Stimulation of reflection and discussion in museum visits through the use of social media

Link injection for boosting information spread in social networks

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Trends in science networks: understanding structures and statistics of scientific networks

Facebook Inspector (FbI): Towards automatic real-time detection of malicious content on Facebook

Modeling individual topic-specific behavior and influence backbone networks in social media

Social network profiling for cultural heritage: combining data from direct and indirect approaches

Modeling influence diffusion to uncover influence centrality and community structure in social networks

Citation interactions among computer science fields: a quantitative route to the rise and fall of scientific research

Brand analysis framework for online marketing: ranking web pages and analyzing popularity of brands on social media

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