Kent State University
●
Formalized the problem of community
search over spatial-social networks.
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Provide a user-friendly interface to
plot, visualize, and analyze spatial-social network.
●
Design efficient techniques for
community searching.
COF
2021 Presentation: Efficient and Effective
Management and Analytics Over Spatial-Social Networks
https://docs.google.com/presentation/d/1_H94K5i0Hx6vJhQ__pi_R6ELPO8fiaVeH6fShm1R1nI/edit?usp=sharing
COF
2022 Poster Presentation: COF2022_Poster.pdf
URL: http://www.cs.kent.edu/~xlian/projects/COF2022_CS_SSN/COF2022_Poster.pdf
https://drive.google.com/file/d/1gf2cTvYFxLJMmSPWHIXGfnkc33O4_DHR/view?usp=sharing
COF
2023 Poster Presentation:
URL: https://drive.google.com/file/d/1EGClppj0jEmS718Y_hgTz11xyF5ictWC/view?usp=sharing
COF
2024 Presentation:
URL: https://docs.google.com/presentation/d/1SuR1I8o8_sJt6PbAIPYwP9HxCaSGY-k8FQNDfqnYO_A/edit?usp=sharing
GitHub
Code Repository: https://github.com/InfernoX5515/Spatial-SocialNetworks
2021
COF Poster Symposium
2023
COF Poster Symposium – Award
of Excellence for Outstanding Presentation
2024
COF Poster Symposium – Award
of Excellence for Outstanding Presentation
When the application is first loaded, the user is shown a
summary of the loaded road and social network datasets.
The user can switch views and execute a cluster query on the
data, with real-world clusters being displayed on the right with interactive,
draggable clusters appearing on the right.
The user can also execute a community search query on the
query using the toolbar at the top of the application. Users who satisfy the
query are displayed as interactive nodes on the left. User's physical locations
are displayed on the right, with the query user being a green star. Users who
satisfy the query conditions are plotted as blue nodes. Users who do not
satisfy the conditions but are needed to connect users are plotted as grey
nodes
The user can
also execute a temporal community search. This is identical to the above
community search, except the user can specify a date range for users in the
community. A timeline on the bottom of the screen allows the user to step
through the query to see the community formed with time. The first and last
frame results from the entire provided time interval.
The
timeline on the bottom of the screen allows the time query to be stepped
through. The community gets bigger with each frame on the timeline. The
timeline can play automatically or be stepped through by the users. Dark blue
nodes are new users to the community, and light blue nodes were added to the
community in a previous time interval.
Our current
focus is on optimizing our application.
·
Performance could
still be better optimized.
·
Better caching of
datasets for faster loading.
·
Implement more
precomputation to save time for querying.
·
Add the ability to
export query results for later analysis.
·
Allow for more
interaction.
Bachelor of Science in Computer
Science class of 2024
Email: HEckert1@kent.edu
Bachelor of Science in Computer
Science class of 2024
Email: GHulvey@kent.edu
Bachelor of Science in Computer
Science class of 2025
Email:
NWolfe8@kent.edu
Bachelor of Science in Computer
Science class of 2025
Email:
SZuelzke@kent.edu
Email: xlian@kent.edu
Homepage: http://www.cs.kent.edu/~xlian/index.html
Past
Members
o
Andrew Hughes
o
Lorenzo Bair
Last Modified: 4/10/2024