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Abstract Social structures and interpersonal relationships may be represented as social networks consisting of nodes corresponding to people and links between pairs of nodes corresponding to relationships between those people. Social networks can be constructed by examining actual groups of people and identifying the relationships of interest betwe...
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... that in mind, the algorithms described here both make use of inferred personality types for the people represented by the network's nodes and base the probability of a link forming between two nodes on the compatibility of the personality types associated with those nodes. Table 4 is such a personality compatibility table for the MBTI personality types. The rows and columns are the 16 MBTI personality types. ...Context 2
... that the table is symmetric, i.e., the two entries for two personality types are the same regardless of which type is on the row and the column. Table 4 was constructed from the personality type descriptions in (Keirsey 1998); the process for doing so is detailed in Appendix 1. ...Context 3
... and heterophily can be modeled as likelihoods of link formation among personality types. In Table 4, values on the diagonal of the table represent a level of homophily because cells on the diagonal are the intersections of rows and columns identifying the same personality type. Values in the cells other than the diagonal represent some level of heterophily because those cells are at the intersections of rows and columns that identify different personality types. ...Context 4
... networks from a personality type assignment Synthetic social networks are generated by an algorithm that considers personality compatibility by using a personality compatibility table C (e.g., Table 4) and a personality assignment A to the nodes of the network. The network generation algorithm is denoted the G(n, A, C) (GNAC) algorithm, where n is the number of nodes, A is an assignment of personality types to the n nodes, and C is a personality compatibility table that includes the personality types in A. Given an assignment A of personality types to nodes and a compatibility table C, as many synthetic social networks as needed can be generated using the GNAC algorithm. ...Similar publications
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Citations
In our modern, fast-paced, and interconnected world, the importance of mental well-being has grown into a matter of great urgency. However, traditional methods such as Emotional Support Conversations (ESC) face challenges in effectively addressing a diverse range of individual personalities. In response, we introduce the Social Support Conversation (S2Conv) framework. It comprises a series of support agents and the interpersonal matching mechanism, linking individuals with persona-compatible virtual supporters. Utilizing persona decomposition based on the MBTI (Myers-Briggs Type Indicator), we have created the MBTI-1024 Bank, a group that of virtual characters with distinct profiles. Through improved role-playing prompts with behavior preset and dynamic memory, we facilitate the development of the MBTI-S2Conv dataset, which contains conversations between the characters in the MBTI-1024 Bank. Building upon these foundations, we present CharacterChat, a comprehensive S2Conv system, which includes a conversational model driven by personas and memories, along with an interpersonal matching plugin model that dispatches the optimal supporters from the MBTI-1024 Bank for individuals with specific personas. Empirical results indicate the remarkable efficacy of CharacterChat in providing personalized social support and highlight the substantial advantages derived from interpersonal matching. The source code is available in \url{https://github.com/morecry/CharacterChat}.
