| Item type |
SIG Technical Reports(1) |
| 公開日 |
2023-06-22 |
| タイトル |
|
|
タイトル |
An Agent-Based Model for Capturing Diverse Interactions in Social Networks |
| タイトル |
|
|
言語 |
en |
|
タイトル |
An Agent-Based Model for Capturing Diverse Interactions in Social Networks |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
数理モデル化と問題解決1 |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
|
資源タイプ |
technical report |
| 著者所属 |
|
|
|
University of Tsukuba |
| 著者所属 |
|
|
|
University of Tsukuba |
| 著者所属 |
|
|
|
University of Tsukuba |
| 著者所属 |
|
|
|
University of Tsukuba／現在，Blank Space Inc. |
| 著者所属(英) |
|
|
|
en |
|
|
University of Tsukuba |
| 著者所属(英) |
|
|
|
en |
|
|
University of Tsukuba |
| 著者所属(英) |
|
|
|
en |
|
|
University of Tsukuba |
| 著者所属(英) |
|
|
|
en |
|
|
University of Tsukuba / Presently with Blank Space Inc. |
| 著者名 |
Nanami, Iwasa
Junya, Okabe
Mikihiro, Suda
Mizuki, Oka
|
| 著者名(英) |
Nanami, Iwasa
Junya, Okabe
Mikihiro, Suda
Mizuki, Oka
|
| 論文抄録 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
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. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
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. |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA12055912 |
| 書誌情報 |
研究報告バイオ情報学（BIO）
巻 2023-BIO-74,
号 7,
p. 1-6,
発行日 2023-06-22
|
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2188-8590 |
| Notice |
|
|
|
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
|
|
言語 |
ja |
|
出版者 |
情報処理学会 |
IPSJ-BIO23074007.pdf (1.1 MB)
