Journal on Policy & Complex Systems Volume 4, Number 1, Spring 2018 | Page 192

Using Integrative Propositional Analysis to Understand and Integrate Four Theories of Social Power Systems
modelling depend on precision of language . Mapping is a snapshot of symbolic representations that can graphically show the connectively and flow of relationships between systems , processes , structures , functions , constructs , and information . Mapping tends to be a simpler representation of reality , while models can account for more complexity via means of algorithms , simulations , theoretical framework , and methodologies .
5.2 Benefits of Mapping and Modeling
The form of the model , whether simple or complex , depends on the theory , purpose of the research , variable types , data , phenomena of study , research questions , instruments , time parameters , and resources . More advanced models can represent more theories , agents , systems , processes , structures , functions , cycles , variables , data , theories , and changes over time . Mapping is a limited tool and can only take us so far in our ability to understand organizational systems .
Given the power of computers and advances in simulation software , now it is possible to transform mapping snapshots into simulated movies . A natural step forward from mapping is to consider how computer modeling can add to clarity and fundamental understanding of networks , interactions , emergence , and nonlinearity of theory-based research on a micro- and macrolevel . Computer modeling , in the form of simulations , can provide not only insight but more nuanced understanding through visual presentation of variables over time , revealing implications of system-wide and agent-level trends ( Johnson , 2016 ).
Furthermore , simulation modeling can augment IPA mapping to facilitate discovery and formalization of change over time , interacting variables , properties of locality , and interacting environment , as to gain more nuanced understanding and even prediction in relation to theory building . Simulation modeling can systematically repeat experiments with single variable values changed , in isolation or in combination with other interacting variables . As a result , the considerable variation in theory research can be simulated . Theories and systems of diverse scale can be further evaluated and simulated . Simulation modeling can represent “ what can be ” and “ what should be ” in the form of experimental theory laboratories that have the capacity to create artificial societies , in addition to “ what is .” Simulations provide a framework to analyze theory through the lens of process and dynamism ( Johnson , 2016 ).
5.3 How can Simulations be Constructed from Maps ?
“ Given that the quality of models significantly affects the outcome of their application , it is important to reflect on the process by which they are actually constructed ” ( Eriksson , 2003 ). The keys to translating mapping into useful simulations are as follows :
1 . Acknowledging how the parts of theories and systems interact .
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