Detecting community structures is an important research topic in social network analysis. Unfortunately, the fundamental factors that drive the generation of social networks (i.e., the network topology and content) and community structures have not been well investigated. In this paper, according to the natural characteristics of social networks, we reveal that individual topics play a core role in community generation. If two individuals are in the same community and are interested in similar topics, it is more likely that a link will form between them. Otherwise, the probability of generating a link depends on the relationships between their communities and the topics they talk about. Based on the above observations, a novel generative community detection model is proposed that simulates the generation of the network topology and network content by considering individual topics. Moreover, our model utilizes a topic model to generate network content. The model is evaluated on two real-world datasets. The experimental results show that the community detection results outperform all the state-of-the-art baselines. In addition to accurate community detection results, we identify each individual topic distribution and the most popular users corresponding to different topics in each community.

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The production and supply of fresh agricultural products (APs) vary greatly with seasons and regions. However, there is no seasonality or regionality in consumer demand for such products. The supply-demand contradiction hinders the coordinated development of agriculture and logistics. To solve the contradiction, this paper measures the level of fruit and vegetable (F&V) specialized production, and evaluates the quality of front-end coldchain (FECC) logistics. Next, the coupling degree model was extended into a coupling coordination model. Taking Xinjiang as the study area, the authors empirically analyzed the coupling coordination between the specialized production level of vegetables and the quality of FECC logistics, and that between the specialized production level of fruits and the quality of FECC logistics. The results show that the spatial coupling coordination between F&V specialized production and FECC logistics is relatively low in Xinjiang; the dynamic coupling coordination between fruit industry and FECC logistics is lower than that between vegetable industry and FECC logistics; the incoordination and slight coordination are attributable to the insufficient supports of FECC logistics, and the low strength of specialized production. Finally, several countermeasures were put forward to improve the coupling coordination between F&V specialized production and FECC logistics in Xinjiang. The research findings shed new light on sustainable development of cold chain logistics for fresh APs.

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