@techreport{oai:ipsj.ixsq.nii.ac.jp:00226662,
 author = {Nanami, Iwasa and Junya, Okabe and Mikihiro, Suda and Mizuki, Oka and Nanami, Iwasa and Junya, Okabe and Mikihiro, Suda and Mizuki, Oka},
 issue = {7},
 month = {Jun},
 note = {In this study, we delve into the intricacies of social network growth by scrutinizing interactions with existing contacts, the establishment of new connections, and the strategies utilized to foster these connections. We introduce a novel model with the capability to encapsulate a wide spectrum of connection strategies, thereby aiming to provide a holistic understanding of interactions within real-world social networks. Our method employs a quality diversity algorithm to manipulate strategies, encoded as genes, ensuring flexible and efficient exploration within an expansive search space. Notably, this approach demonstrates a performance that aligns with conventional methods utilizing a full search, underscoring its effectiveness. Our findings elucidate the nuanced dynamics of social network growth, offering substantial implications for practical applications within online services, including but not limited to social networking and gaming platforms. In such contexts, the identification of effective users and their interaction strategies can drive service growth and engagement., In this study, we delve into the intricacies of social network growth by scrutinizing interactions with existing contacts, the establishment of new connections, and the strategies utilized to foster these connections. We introduce a novel model with the capability to encapsulate a wide spectrum of connection strategies, thereby aiming to provide a holistic understanding of interactions within real-world social networks. Our method employs a quality diversity algorithm to manipulate strategies, encoded as genes, ensuring flexible and efficient exploration within an expansive search space. Notably, this approach demonstrates a performance that aligns with conventional methods utilizing a full search, underscoring its effectiveness. Our findings elucidate the nuanced dynamics of social network growth, offering substantial implications for practical applications within online services, including but not limited to social networking and gaming platforms. In such contexts, the identification of effective users and their interaction strategies can drive service growth and engagement.},
 title = {An Agent-Based Model for Capturing Diverse Interactions in Social Networks},
 year = {2023}
}