...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Knowledge-Based Systems >SoC-constrained team formation with self-organizing mechanism in social networks
【24h】

SoC-constrained team formation with self-organizing mechanism in social networks

机译：社交网络中具有自组织机制的SoC约束的团队形成

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Given a task requiring a set of skills, the team formation problem in social network aims to find a team that covers all the required skills and minimizes the communication cost. However, to make the team work more efficiently, a proper leader is needed for managing and communicating with all the members in the team. As the number of required skills increases and the team grows in size, a single leader is not sufficiently capable of administering a large project since the leader may not have enough time to communicate with all of the team members. Therefore, from the practical perspective, the team would be divided into smaller sub-teams, each of them has a leader. In the field of management, the size constraint of each team is called Span of Control (SoC). In this paper, we tackle the problem of finding teams of experts with SoC constraints in social network. To solve the problem effectively, we propose three basic algorithms, and explore a Self-Organizing mechanism to determine the role of each individual in a team to be the leader or a member. For solving the problem more efficiently, we design a gamma HSCCent node ranking strategy, and the corresponding enhanced algorithms are proposed. Experimental results from both quantitative and qualitative studies show that the teams composed by our proposed algorithms have better performance in both effectiveness and efficiency. (C) 2017 Elsevier B.V. All rights reserved.
机译：给定一项需要一组技能的任务，社交网络中的团队形成问题旨在找到一个涵盖所有必需技能并最大程度降低沟通成本的团队。但是，为了使团队更高效地工作，需要适当的领导者来管理团队中的所有成员并与之沟通。随着所需技能数量的增加和团队规模的扩大，单个领导者的能力不足以管理大型项目，因为领导者可能没有足够的时间与所有团队成员进行交流。因此，从实际的角度来看，团队将分为较小的子团队，每个子团队都有一个领导者。在管理领域，每个团队的规模约束称为控制范围（SoC）。在本文中，我们解决了在社交网络中寻找具有SoC约束的专家团队的问题。为了有效地解决该问题，我们提出了三种基本算法，并探索了一种自组织机制来确定团队中每个人作为领导者或成员的角色。为了更有效地解决该问题，我们设计了一种伽玛HSCCent节点排序策略，并提出了相应的增强算法。定量和定性研究的实验结果表明，由我们提出的算法组成的团队在有效性和效率上都有更好的表现。 （C）2017 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号