There are different ways to learn from the nodes in a network map, ranging from understanding why the node appears in the map, to what the node represents, to data displayed in the node, to the location in the network structure that the node occupies. Continue reading to learn more about these different ways to interpret node information, or to see a list of the different map types and the nodes they contain, click here.
1. Network Status
A node's network status refers to why a given node appears
in the network that is being viewed. Example 1 below is a
representation of the network of the company "ActiveGrid."
ActiveGrid is therefore the "Target Node" in this network,
and can be identified as such because it is noticeably larger in size
than the other company nodes as well as its thicker border. Read more below
2. Symbolic Representation
A node's shape and color can be identified using the legend
to determine exactly what type of node is being represented. Read more below
3. Displayed Attributes
Nodes can display information within their boundaries describing
the attributes of each node individually. In Example 1, each node
displays its own name. This information is explicitly displayed. The
user has the option to include or exclude which attributes he would
like to see. In future examples we will examine other maps with more
information displayed within the nodes. Read more below
4. Network Structure
Interpretation on a higher level can be performed to learn more
about a node by examining its position in the structure of a network. Read more below
Map 2.1 - ActiveGrid; Company and Investor Map
Target (Independent) Nodes
Every network created by LinkSViewer is created around one or
more Target Nodes. A Target Node,
also called an Independent Node, is the node whose network is being represented.
Example 1 shown above is the network for a company called ActiveGrid. ActiveGrid
is the only the Target Node in the network, but it is possible for a map to have
multiple Target Nodes. All of the other nodes in Example 1 are only there because
of their connection to ActiveGrid. Hummer Winblad is a large investor with over
60 investments, but none of those other investments appear in this map because it
is not a map of Hummer Winblad's network; it is a map of ActiveGrid's network.
This is why Target Nodes are considered to be Independent. Their presence in the
network does not depend on their connection to any other node.
Dependent Nodes
Any node in a network that is not a Target Node is present
because it is connected to the Target Node(s). In Example 1, every
node except the node for ActiveGrid is an Independent Node. If a
Target Node is removed from a network, all of its Dependent Nodes would disappear as well. If ActiveGrid were removed, all of the other
nodes would disappear as well. However, if Hummer Winblad were removed,
the other nodes in Example 1 would remain because they are not dependent
on Hummer Winblad.
Example 2 (below) shows a network map with two Target Nodes;
one for the company ActiveGrid and one for the investor Allegis Capital.
ActiveGrid and Allegis are now both enlarged with thickened borders. The
addition of a second Target Node leads to the inclusion of more Dependent
Nodes. Every node in Example 2 that was not in Example 1 is a node that is
solely dependent on Allegis Capital.
Map 2.2 - ActiveGrid & Allegis; Company and Investor Map
In summary, Target Nodes are Independent, and the network is
formed around them and the structure of their connections. All other
nodes are Dependent Nodes, present in the network only because of
their connections to the Target Nodes.
Nodes can have different colors and shapes which help you
to understand what they represent. There are three classes of nodes
that represent Companies (rectangles), Investors (ovals), and People (eggs).
Image 2.3 - Node Shape and Color
Investor Nodes come in three different
colors which help to identify the investor as either a Corporate Investor, a
Venture Capital Investor, or an Individual Investor. It is important to
remember that Individual Investors and People nodes differ because of the
nature of their connections to the Company Nodes. Individual Investor Nodes
have invested capital, while People Nodes serve on the company's Board or
Management Team. So even though both types of nodes represent individuals,
the oval represents them as investors rather than individuals involved in
company operations.
Company Nodes have three different colors representing the company as Public (green), Private (blue), or Acquired (purple). Each of these colors come in two shades, the darker of which indicates that the company is Active, and the lighter shade indicates that the company is Inactive. Active companies are still in existence and functioning, but Inactive companies are not.
People Nodes have only one
possible color (pink). The node can represent a company's Board
Member or a member of a company's Management Team, but because a
person can be both a Board Member and Management Team member in a
single network map, the differentiation must be made in the link
between the nodes, rather than in the nodes themselves.
Nodes can explicitly convey information about themselves
through the inclusion of data within the nodes themselves. In
LinkSViewer you can manipulate what information you want to
display in the nodes depending upon what is important to you.
In Examples 1, 2 and 3 (above) only the names of the nodes are
displayed. However, it is possible to display more information
in the nodes, as in Example 4 - Node Content (pictured below).
Image 2.4 - Node Content
Example 4 shows the maximum amount of information that can be
displayed in each of the three types of nodes. The gray colored nodes
on top represent generic node representations with actual examples taken
from LinkSViewer maps in color beneath them.
Investor nodes contain a maximum
of two pieces of information: 1) the name of the investor, and 2) the number
of investments that the investor has made. In the example the investor is
named Hummer Winblad Venture Partners, and it has made 61 investments.
Company nodes can contain
the most information displayed within the node, including: 1) the
name of the company, 2) the number of investors in the company, 3)
the number of rounds of capital that the company has raised, and 4)
the total amount of capital that the company has raised in all of
its rounds (in US dollars).
People nodes can contain two pieces of information: 1) the name of the individual, and 2) the number of companies with which they are affiliated. In the example, the person is named "Irwin Gross," and he has either been on the board of, or been a management team member of 4 different companies.
The most complex way to learn from the nodes is by way of their location in the network. It is a matter of interpretation that will be discussed more later on in the tutorial. How do they contribute to the structure of the network? This type of interpretation has as much to do with the links as it does with the nodes. In Example 5 below you can see the combined map for the companies ActiveGrid and NetCell.
Image 2.5 - ActiveGrid & NetCell; Company and Investor Map
Here is an example of a question which allows for some basic
interpretation of the structure of this network: Which investors
do you think are most important in this map?
Granite Ventures has 6 links (indicating that it has
invested into 6 companies in this network), Allegis has 4,
and Worldview Technology and TI Venture both have 3. These
are the four most connected investors in the network. By that
standard alone Granite Ventures would be considered one of the
most important, but if you examine the network further you will
see that it is only connected to companies on the NetCell side
of the network. By contrast, Allegis connects the two sides of
the network to each other, so even though it has less links, it
plays an important role in forming the structure of the network.
Of course, the question "Which node is most important" is a very
complicated question to ask, but it serves as an introduction to the importance of
the structure of the networks, and the complexity of the interpretations
that can be performed on the network maps. Statistics and measures can
also be included in these analyses, and with practice a great deal of
information can be extracted just by examining the different views of
an investment network.
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