Embracing complexity: Reviewing the past decade of team effectiveness research

JE Mathieu, PT Gallagher, MA Domingo… - Annual Review of …, 2019 - annualreviews.org
We conceptualize organizational teams as dynamic systems evolving in response to their
environments. We then review the past 10 years of team effectiveness research and …

Multilevel emergence in work collectives.

JE Mathieu, MM Luciano - 2019 - psycnet.apa.org
This chapter addresses the form of the construct by discussing the three common ways that
emergent variables have been conceptualized and measured at a particular point in time …

Recipe for success: A network perspective of partnership in nature conservation

L Rozylowicz, A Nita, S Manolache… - Journal for Nature …, 2017 - Elsevier
Successful conservation initiatives require collaboration between stakeholders across a
range of organisational foci and expertise. In Romania, the EU LIFE Nature programme is …

Intermediary organizations in Nature Conservation initiatives: the case of the EU-Funded LIFE Programme

A Rigo, E Andriollo, E Pisani - Sustainability, 2022 - mdpi.com
This study was aimed to identify intermediary organizations active in nature conservation
initiatives by adopting a multi-level (ML) and network governance (NG) framework and using …

Identifying influential node groups in networks with core-periphery structure

G Bae, PA Knight, YH Eom - arxiv preprint arxiv:2408.02370, 2024 - arxiv.org
Identifying influential spreaders is a crucial problem for practical applications in network
science. The core-periphery (CP) structure, common in many real-world networks …

Effective and efficient Steiner maximum path-connected subgraph search in large social Internet of Things

X Fan, Y Li, J Sun, Y Zhao, G Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Social Internet of Things (SIoT) is extended to integrate social networks in the Internet of
Things (IoT). SIoT enriches IoT, and thus resource (or service) discovery and consolidation …

[PDF][PDF] A-RAFF: a ranked frequent pattern-growth subgraph pattern discovery approach

SU Rehman, S Asghar - Journal of Internet Technology, 2019 - jit.ndhu.edu.tw
Graph mining is one of the arms of Data Mining in which voluminous complex data are
represented in the form of graphs and mining is done to infer useful knowledge from them …

Community change detection in dynamic networks in noisy environment

S Koujaku, M Kudo, I Takigawa, H Imai - Proceedings of the 24th …, 2015 - dl.acm.org
Detection of anomalous changes in social networks has been studied in various
applications such as change detection of social interests and virus infections. Among …

[PDF][PDF] d-central graph model for local cohesive sub graph discovery

A Jahani - dl.openaccess.ir
Structural cohesion is the sociological concept and it is defined as the minimal number of
actors in a social network that needs to be removed to disconnect the group. The extraction …

Search of Center-Core Community in Large Graphs

L Ding, Y **e, X Shan, B Song - Big Data: 6th CCF Conference, Big Data …, 2018 - Springer
Community search plays an important role in complex network analysis. It aims to find a
densely connected subgraph containing the query node in a graph. However, the most …