RT @appliednetsci: Community-based time segmentation from network snapshots: Streaming and holistic approaches for semi-static and dynamic…
Appl. Network Sci.: Community-based time segmentation from network snapshots https://t.co/OJzJeWv3rI
RT @appliednetsci: Community-based time segmentation from network snapshots: Streaming and holistic approaches for semi-static and dynamic…
RT @tmagelinski: My first journal article is out now in @appliednetsci! We provide a method of segmenting temporal network data based on ch…
RT @tmagelinski: My first journal article is out now in @appliednetsci! We provide a method of segmenting temporal network data based on ch…
RT @appliednetsci: Community-based time segmentation from network snapshots: Streaming and holistic approaches for semi-static and dynamic…
RT @appliednetsci: Community-based time segmentation from network snapshots: Streaming and holistic approaches for semi-static and dynamic…
RT @tmagelinski: My first journal article is out now in @appliednetsci! We provide a method of segmenting temporal network data based on ch…
RT @appliednetsci: Community-based time segmentation from network snapshots: Streaming and holistic approaches for semi-static and dynamic…
Community-based time segmentation from network snapshots: Streaming and holistic approaches for semi-static and dynamic nodesets https://t.co/tlUVqi2vHW by @tmagelinski and Kathleen M. Carley @SpringerOpen @CMU_CASOS @isrcmu https://t.co/cvOwFryPnY
My first journal article is out now in @appliednetsci! We provide a method of segmenting temporal network data based on changes in community structure. Link here: https://t.co/ZIV13tYWxH