Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a working model of conversational adjacency graphs (CAGs), both temporal and non-temporal, useful in analyzing interactive communication patterns amongst distributed network actors. The paper utilizes Shakespeare's Hamlet as a baseline reference model to outline the construction of representative ighted graph models of inter-actor conversations, both temporal and non-temporal. A sampling of related complex network analytic metrics both temporal and non-temporal variants is also presented on the respective graph models.  discuss a related experiment carried out in which network exchanges amongst distributed actor nodes are orchestrated within an emulated virtual wireless network scenario. A blind construction of the representative CAG is presented from received traffic logs without a-prior knowledge of the play ordering. In this case, source identification and reception ordering are the sole pieces of information used to estimate conversational adjacency relationships.  demonstrate that the example “blind” CAG construction from the empirically-measured model appears to reasonable match the baseline conversation graph model developed with a-priori information directly from play script. Issues and related ongoing work is discussed regarding the related analytics and potential applications of such models.
['Joseph P. Macker']
I am writing a research paper on a idea Hamlet: A metaphor for modeling and analyzing network conversational adjacency graphs
[{"from": "human", "value": "I am writing a research paper on a idea Hamlet: A metaphor for modeling and analyzing network conversational adjacency graphs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a working model of conversational adjacency graphs (CAGs), both temporal and non-temporal, useful in analyzing interactive communication patterns amongst distributed network actors. The paper utilizes Shakespeare's Hamlet as a baseline reference model to outline the construction of representative ighted graph models of inter-actor conversations, both temporal and non-temporal. A sampling of related complex network analytic metrics both temporal and non-temporal variants is also presented on the respective graph models.  discuss a related experiment carried out in which network exchanges amongst distributed actor nodes are orchestrated within an emulated virtual wireless network scenario. A blind construction of the representative CAG is presented from received traffic logs without a-prior knowledge of the play ordering. In this case, source identification and reception ordering are the sole pieces of information used to estimate conversational adjacency relationships.  demonstrate that the example \u201cblind\u201d CAG construction from the empirically-measured model appears to reasonable match the baseline conversation graph model developed with a-priori information directly from play script. Issues and related ongoing work is discussed regarding the related analytics and potential applications of such models."}]