NETWORK VISUALIZATIONS

UNDERSTAND YOUR NETWORK

Social networks like Twitter or Instagram offer excellent opportunities to market regions and people, to promote new products and to directly contact potential customers. Hitherto such contacts occurred rather on intuition without any knowledge of the related, interconnected network structures. However, this knowledge is crucial in order to gain a proper estimation of the target group and hence to reduce wastage.

With the help of SMeNA you are able to use this knowledge. We make your network visible, but we also identify information channels and highlight multipliers. Furthermore, we are able to assign subgroups of a network to a particular range of topics and can target appropriate customers. Have a look at the development of your network and at the feedback of your campaigns. We help you to understand and use your network!

For detailed information, please klick on the Hotspots.

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  • What is your position within your network?
  • What is your network talking about?
  • What are the trends and topics?
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Player X connects you with new networks

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Player Y connects you with new markets

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Interesting topic

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New market

EXAMPLES OF NETWORK VISUALIZATIONS

The graphical representation of a network allows a quick insight into its structures. In the following we present some examples how such visualizations look like.

NETWORK OF THE INTEREST CULINARY ART (KULINARIK)

We analyzed three main source markets (Italy, Netherlands and UK) tourism destination in relation to two topics. Thus the most important blogger within the area of culinary art and travel should be identified. Moreover, we analyzed the shared content of these bloggers in order to derive recommendations for action.

Within these three visualizations of networks the key players related to the topic of culinary art are highlighted. The labels represent the twitter name of the user. If you search this name on twitter you will land on their timeline and get an idea of their shared content.

KEY PLAYERS, RECEIVER AND SENDER

With the three following graphical representations the importance of different types of players is illustrated. Here tweets that deal with ITB (the worldwide greatest tourism fair) are visualized and analyzed.

  • Betweenness Centrality informs about the relative position of a player within his network. The higher the value, the more central the role of the player. High centrality means that a lot of strings of information run over this player. Often these players are located at the heart of a network or at connection points to other subnetworks. In this case “Holland_de” is a bridgehead to the Dutch network.
  • The Weighted In Degree refers to the absolute input that is shared. Players with a high Weighted In Degree share or mention a lot of input of other players within the network. SKS_MediaBerlin shares many tweets of ITB_Berlin. This is visible through the thick connecting line between these two players
  • In turn the Weighted Out Degree reveals how often other players share and mentione own tweets. Here ITB_Berlin is the dominant player and SKS_MediaBerlin does not play an important role. That means, that SKS_MediaBerlin shares a lot of information, but this information is not distributed by other players.