Mining Social Networks: Uncovering Interaction Patterns in Business Processes

By Wil M.P. van der Aalst, Minseok Song. International Conference on Business Process Management, 2004

298 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/699645c9cd170ed0d1729f9a0415a70673641a45

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Citations in the corpus

Process Mining and Verification of Properties: An Approach Based on Temporal Logic (2005, background): “The notion of conformance has also been discussed in the context of security [ 4 ], business alignment [2], and genetic mining [26].”
Genetic process mining: an experimental evaluation (2007, methodology): “Although in this paper we focus on the “Genetic algorithm plug-in”, the ProM framework offers other plug-ins like, for instance, the “Social network miner plug-in” [2] and “Conformance checker plug-in” [53].”
Conformance checking of processes based on monitoring real behavior (2008, methodology): “In [ 2 ] we show that the LTL Checker in ProM can check which cases satisfy a given property.”
Business process mining: An industrial application (2007, methodology): “This paper builds on the results presented in [28,10] where SNA is related to process mining.”
Mining process models with non-free-choice constructs (2007, methodology): “The idea of applying process mining in the context of workflow management was first introduced in (Agrawal et al. 1998). A similar idea was used in (Datta 1998). Cook and Wolf (1998) have investigated similar issues in the context of software engineering processes using different approaches. In Cook”
A review and outlook for a 'Building Information Model' (BIM): A multi-standpoint framework for technological development (2011, unknown): “modelling [84] Templates [23,117]; patterns, model-based”
Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2013, background): “Auditing of discovered models can prove compliance with organisational and governmental regulations [3], and replay of historical behaviour on the discovered model can reveal social networks and bottlenecks [4,15,17].”
Discovering Social Networks from Event Logs (2005, methodology): “The paper extends the results presented in [3] by providing concrete metrics and demonstrating these using a case study.”
Business process analysis in healthcare environments: A methodology based on process mining (2012, methodology): “ProM can be obtained at http://prom.sourceforge.net Several clustering techniques can be used for this purpose, such as the which can be seen as an extension of the Heuristic Miner plug-in.”