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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chakraborty, T. Sikdar, S. Tammana, V. Ganguly, N. Mukherjee, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India (Chakraborty, T.; Sikdar, S.; Tammana, V.; Ganguly, N.; Mukherjee, A.) |
| Abstract | Study of community in time-varying graphs has been limited to its detection and identification across time. However, presence of time provides us with the opportunity to analyze the interaction patterns of the communities, understand how each individual community grows/shrinks, becomes important over time. This paper, for the first time, systematically studies the temporal interaction patterns of communities using a large scale citation network (directed and unweighted) of computer science. Each individual community in a citation network is naturally defined by a research field - i.e., acting as ground-truth - and their interactions through citations in real time can unfold the landscape of dynamic research trends in the computer science domain over the last fifty years. These interactions are quantified in terms of a metric called inwardness that captures the effect of local citations to express the degree of authoritativeness of a community (research field) at a particular time instance. Several arguments to unveil the reasons behind the temporal changes of inwardness of different communities are put forward using exhaustive statistical analysis. The measurements (importance of field) are compared with the project funding statistics of NSF and it is found that the two are in sync. We believe that this measurement study with a large real-world data is an important initial step towards understanding the dynamics of cluster-interactions in a temporal environment. Note that this paper, for the first time, systematically outlines a new avenue of research that one can practice post community detection. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 426 |
| Ending Page | 433 |
| File Size | 1567599 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450322409 |
| DOI | 10.1145/2492517.2492536 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-25 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | ACM and IEEE |
| Subject Keyword | Computer science Databases temporal network Image edge detection computer science Communities community analysis ground-truth communities Market research Real-time systems citation network Synchronization |
| Content Type | Text |
| Resource Type | Article |
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