A Hybrid Human Dynamics Model on Analyzing Hotspots in Social Networks
The increasing development of social networks provides a unique source for analyzing human dynamics in the modern age. In this paper, we analyze the top-one Internet forum in China (“Tianya Club”) and identify the statistical properties of hotspots, which can promptly reflect the crowd events in peo...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2012/678286 |
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| Summary: | The increasing development of social networks provides a unique source
for analyzing human dynamics in the modern age. In this paper, we analyze
the top-one Internet forum in China (“Tianya Club”) and identify the statistical properties of hotspots, which can promptly reflect the crowd events
in people's real-life. Empirical observations indicate that the interhotspot
distribution follows a power law. To further understand the mechanism of
such dynamic phenomena, we propose a hybrid human dynamic model that
combines “memory” of individual and “interaction” among people. To build
a rich simulation and evaluate this hybrid model, we apply three different
network datasets (i.e., WS network, BA network, and Karate-Club). Our
simulation results are consistent with the empirical studies, which indicate
that the model can provide a good understanding of the dynamic mechanism
of crowd events using such social networking data. We additionally analyze
the sensitivity of model parameters and find the optimal model settings. |
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| ISSN: | 1026-0226 1607-887X |