Mapping networks of influence: tracking Twitter conversations through time and space

The increasing use of social media around global news events, such as the London Olympics in 2012, raises questions for international broadcasters about how to engage with users via social media in order to best achieve their individual missions. Twitter is a highly diverse social network whose conversations are multi-directional involving individual users, political and cultural actors, athletes and a range of media professionals. In so doing, users form networks of influence via their interactions affecting the ways that information is shared about specific global events. This article attempts to understand how networks of influence are formed among Twitter users, and the relative influence of global news media organisations and information providers in the Twittersphere during such global news events. We build an analysis around a set of tweets collected during the 2012 London Olympics. To understand how different users influence the conversations across Twitter, we compare three types of accounts: those belonging to a number of well-known athletes, those belonging to some well-known commentators employed by the BBC, and a number of corporate accounts belonging to the BBC World Service and the official London Twitter account. We look at the data from two perspectives. First, to understand the structure of the social groupings formed among Twitter users, we use a network analysis to model social groupings in the Twittersphere across time and space. Second, to assess the influence of individual tweets, we investigate the ageing factor of tweets, which measures how long users continue to interact with a particular tweet after it is originally posted. We consider what the profile of particular tweets from corporate and athletes’ accounts can tell us about how networks of influence are forged and maintained. We use these analyses to answer the questions: How do different types of accounts help shape the social networks? and, What determines the level and type of influence of a particular account

Who has influence in multistakeholder governance systems?

As multistakeholder governance has emerged as an important feature in development, new governance structures that foster the participation of multiple stakeholders from the public sector, civil society, and the private sector have emerged in various fields, ranging from the management of natural resources to the provision of public services. To make such governance structures work, it is essential to understand how different stakeholders influence decisionmaking and what determines their influence. This paper uses Net-Map, an innovative participatory method, to analyze how networking influences decisionmaking in multistakeholder governance structures, using the case of the governance board of the White Volta River Basin in northern Ghana as an example. The method visualizes both the relations between all stakeholders in watershed management as perceived by the 17 members on the board and their influence on development outcomes. The study suggests that significant effects of social networking are at play beyond the formal lines of command and funding as stakeholders in watershed management make decisions. Stakeholders are more influential if they participate more prominently in information exchange and provide more advice to others. This counterbalances the overrepresentation of government actors on the board. Meanwhile some government organizations have a low level of influence, even though they are central in giving funding and command. These findings may be interesting for program leaders and policymakers in watershed management: when designing governance structures they need to take into account the importance of social networking to attain main objectives of watershed development; it is important to provide space that allows the exchange of information and advice among stakeholders. Meanwhile, policymakers and program leaders as well must consider overrepresentation of social network champions in multistakeholder governance structures and the limited capacity of government bodies in social networking. The paper serves to introduce not only the specific findings concerning this case study but also the participatory research method (Net-Map) that was used.decisionmaking, multistakeholder governance, Natural resource management, Social networks,

Identification of Influential Social Networkers

Online social networking is deeply interleaved in today\u27s lifestyle. People come together and build communities to share thoughts, offer suggestions, exchange information, ideas, and opinions. Moreover, social networks often serve as platforms for information dissemination and product placement or promotion through viral marketing. The success rate in this type of marketing could be increased by targeting specific individuals, called \u27influential users\u27, having the largest possible reach within an online community. In this paper, we present a method aiming at identifying the influential users within an online social networking application. We introduce ProfileRank, a metric that uses popularity and activity characteristics of each user to rank them in terms of their influence. We then assess this algorithm\u27s added value in identifying influential users compared to other commonly used social network analysis metrics, such as the betweenness centrality and the well-known PageRank, by performing an experimental evaluation on a synthetic and a real-life dataset. We also integrate all three metrics in a unified metric and measure its performance