We recently completed a review of the existing literature on human-machine networks. Human-machine networks are complex systems of human actors and computing devices or sensors that interact to produce synergy. In other words, human-machine networks result in outcomes that neither a human social network, nor a computer network can produce independently. We often use computers to communicate with others but most of the time the computers are simply a medium for an interaction that could have otherwise occurred face-to-face. E-mail and phone conversations are good example for machine-mediated communication. Sometimes, however, computers can radically transform how we interact and what we produce. Our review focuses exactly on those network instances. We identified eight different types of human-machine networks: public-resource computing, crowdsourcing, web search engines, crowd sensing, online markets, social media, multiplayer online games and virtual worlds, and mass collaboration. For each type we collected articles that concern issues related to the design of such a network. We then selected 10-20 articles that are either new and promising or already well cited. These articles serve as a good starting point for those who want to learn more about each network type. The list of articles can be found here. For a broader introduction to the topic of human-machine networks, we are also sharing our Mendeley reference collection.