Understanding online social network usage from a network perspective
Understanding online social network usage from a network perspective
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DOI：
10.1145/1644893.1644899
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发表时间：
2009-11
期刊：
影响因子：
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通讯作者：
Fabian Schneider;A. Feldmann;B. Krishnamurthy;W. Willinger
中科院分区：
文献类型：
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作者：
Fabian Schneider;A. Feldmann;B. Krishnamurthy;W. Willinger
在线社交网络（OSN）已经吸引了超过5亿用户。然而，我们对OSN的哪些功能吸引并保持这些用户的注意力的理解很差。到目前为止，研究依赖于对OSN用户的调查或访谈，或专注于静态属性，例如。例如，在一个实施例中，通过采样抓取收集的友谊图。在本文中，我们研究了用户如何实际上与OSN互动，从被动监测的网络流量中提取点击流。我们对四种不同OSN（Facebook、LinkedIn、Hi5和OSN VZ）的OSN内用户交互的表征侧重于功能流行度、会话特征和OSN会话内的动态。例如，我们发现用户通常花费超过半个小时与OSN交互，而每个OSN会话的字节贡献相对较小。
Online Social Networks (OSNs) have already attracted more than half a billion users. However, our understanding of which OSN features attract and keep the attention of these users is poor. Studies thus far have relied on surveys or interviews of OSN users or focused on static properties, e. g., the friendship graph, gathered via sampled crawls. In this paper, we study how users actually interact with OSNs by extracting clickstreams from passively monitored network traffic. Our characterization of user interactions within the OSN for four different OSNs (Facebook, LinkedIn, Hi5, and StudiVZ) focuses on feature popularity, session characteristics, and the dynamics within OSN sessions. We find, for example, that users commonly spend more than half an hour interacting with the OSNs while the byte contributions per OSN session are relatively small.