Mining subgroups from temporal data: from the parts to the whole
A Gorovits - 2021 - scholarsarchive.library.albany.edu
A variety of dynamic systems can be broken down into potentially overlapping
subcomponents with varying temporal behavior, ranging from communities in networks, to …
subcomponents with varying temporal behavior, ranging from communities in networks, to …
Mining Subgroups from Temporal Data
A Gorovits - 2021 - search.proquest.com
A variety of dynamic systems can be broken down into potentially overlapping
subcomponents with varying temporal behavior, ranging from communities in networks, to …
subcomponents with varying temporal behavior, ranging from communities in networks, to …
Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach
The increasing availability of temporal network data is calling for more research on
extracting and characterizing mesoscopic structures in temporal networks and on relating …
extracting and characterizing mesoscopic structures in temporal networks and on relating …
Redefining Event Types and Group Evolution in Temporal Data
Groups--such as clusters of points or communities of nodes--are fundamental when
addressing various data mining tasks. In temporal data, the predominant approach for …
addressing various data mining tasks. In temporal data, the predominant approach for …
Embedded representations of social interactions
M Torricelli - 2022 - amsdottorato.unibo.it
Social interactions have been the focus of social science research for a century, but their
study has recently been revolutionized by novel data sources and by methods from …
study has recently been revolutionized by novel data sources and by methods from …
6. Community detection in temporal networks
K Avrachenkov, M Dreveton - nowpublishers.com
Previous chapters focus on the study of static interactions, represented by a binary number
or a positive weight. Nevertheless, in many application domains, interactions vary over time …
or a positive weight. Nevertheless, in many application domains, interactions vary over time …
A time resolved clustering method revealing longterm structures and their short-term internal dynamics
JI Liechti, S Bonhoeffer - arXiv preprint arXiv:1912.04261, 2019 - arxiv.org
The last decades have not only been characterized by an explosive growth of data, but also
an increasing appreciation of data as a valuable resource. Their value comes with the ability …
an increasing appreciation of data as a valuable resource. Their value comes with the ability …
Coordination event detection and initiator identification in time series data
C Amornbunchornvej, I Brugere… - ACM Transactions on …, 2018 - dl.acm.org
Behavior initiation is a form of leadership and is an important aspect of social organization
that affects the processes of group formation, dynamics, and decision-making in human …
that affects the processes of group formation, dynamics, and decision-making in human …
Communities in temporal networks: from theoretical underpinnings to real-life applications
JLLR Pereira - 2021 - search.proquest.com
Static aggregations of network activity can unravel attributes of the complex systems they
represent. However, they fall short when the structure of the systems changes over time. In …
represent. However, they fall short when the structure of the systems changes over time. In …
Mining (maximal) span-cores from temporal networks
When analyzing temporal networks, a fundamental task is the identification of dense
structures (ie, groups of vertices that exhibit a large number of links), together with their …
structures (ie, groups of vertices that exhibit a large number of links), together with their …