×
Download the Graph Image:

PNG (Image)  SVG (Hi-Res)

Download the Graph Data:

JSON  CSV  Gexf (Gephi)

Download the Text Data:

CSV tagged w Topics   Plain Text
Top keywords (global influence):
Top topics (local contexts):
Explore the main topics and terms outlined above or see them in the excerpts from this text below.
See the relevant data in context: click here to show the excerpts from this text that contain these topics below.
Tip: use the form below to save the most relevant keywords for this search query. Or start writing your content and see how it relates to the existing search queries and results.
Tip: here are the keyword queries that people search for but don't actually find in the search results.

The physiological functions of the @heart are mainly to govern the #blood and control the #mind, and sometimes to control #emotions and #feelings

   edit   unpin & show all

 

The function of the @lung mainly depends on the propelling and #fixate functions of lung - #qi and on the #moisten function of lung- #yin.

   edit   unpin & show all

 

The @lung may dominate the #qi and manage the regulation of #water passage and govern the #skin.

   edit   unpin & show all

 

The @heart governs the #vessels, opens into the #tongue, with external manifestation on the #face.

   edit   unpin & show all

 

@Pericardium #heart

   edit   unpin & show all

 

The main task of the @skin is to protect the #body, #excrete sweat, and #adjust the body #temperature.

   edit   unpin & show all

 

The @lung governs the #hair, i.e. the lung has its external manifestation on the hair. The lung opens into the #nose for #smelling.

   edit   unpin & show all

 

The @liver stores #yin - #blood and has a function as #yang because #yang - #qi in the liver is very active and resolute, tending to disperse.

   edit   unpin & show all

 

The @liver possesses 2 physiological functions: the first is to #govern dredging and #regulate materials (including #blood, #metabolism, #yin, #yang, and #qi, etc.) of the body (it is called shu-xie function in TCM), and the second is to #store #blood.

   edit   unpin & show all

 

@liver can also assist the #spleen and the #stomach to digest food by modifying the spleen- #qi and the stomach- #qi with its #dredge and #regulate functions

   edit   unpin & show all

 

the @liver can #control #mental activity such as #joy, #anger, #anxiety, and #contemplation

   edit   unpin & show all

 

the @liver can regulate #menstruation in women.

   edit   unpin & show all

 

The @liver governs the #tendons and opens into the #eyes. The external manifestation of the liver is on the #nails.

   edit   unpin & show all

 

The @spleen is loc#ated in the #abdomen #and governs #digestion #and #absorption. As the source of #qi, #blood, #and body #fluid, the spleen plays a vital role in maintaining life activities.

   edit   unpin & show all

 

The @spleen governs #transportation and #transformation, it means the spleen can #digest food, #absorb nutrients of food and water, and then #transport them to the #heart and the #lung.

   edit   unpin & show all

 

The @spleen can command #blood as to control the blood #circulation inside the #vessels and prevent it from flowing out of the vessels and govern the #muscles and the 4 #limbs. The spleen opens into the #mouth, and its external manifestation is on the #lips.

   edit   unpin & show all

 

The @kidney #stores essence and the essence transforms #qi and produces #blood. It is the source of genuine #yin and genuine #yang, and it is related with the #essence, #qi, #blood, #yin, and #yang.

   edit   unpin & show all

 

The physiological functions of the @kidney are composed of 6 parts: to #govern #growth and #development, to govern #reproduction, to govern #water (modify and maintain all fluid of the body), to govern #reception of #qi, to produce #marrow to enrich the #brain and transform #blood, and to #nourish and #warm the internal #organs.

   edit   unpin & show all

 

The @bones (including the growth of teeth) are governed by the @kidney. It opens into the #ears, the external #genitals, and the #anus, and their external manifestation is on the #hair.

   edit   unpin & show all

 

#small_intestine #heart

   edit   unpin & show all

 

#large_intestine #lung

   edit   unpin & show all

 

#stomach #spleen

   edit   unpin & show all

 

#bladder #kidney

   edit   unpin & show all

 

#gallbladder #liver

   edit   unpin & show all

 

#liver (wood) promotes the function of #heart (fire)

   edit   unpin & show all

 

#heart promotes the function of the #spleen (earth)

   edit   unpin & show all

 

#spleen promotes the function of the #lung (metal)

   edit   unpin & show all

 

#lung promotes the function of the #kidney (water)

   edit   unpin & show all

 

#kidney promotes the function of the #liver

   edit   unpin & show all

 

#gallbladder is paired with #liver and absorbs its excess

   edit   unpin & show all

 

#bladder regulates the output of #kidney

   edit   unpin & show all

 

#small_intestine - absorbs nutrients which are then sent to and pumped through the body by the #heart

   edit   unpin & show all

 

#stomach #spleen

   edit   unpin & show all

 

#large_intestine #lung

   edit   unpin & show all

 

#liver (wood) restrains the #spleen (earth)

   edit   unpin & show all

 

#spleen (earth) restraining #kidney (water)

   edit   unpin & show all

 

#kidney (water) restraining #heart (fire)

   edit   unpin & show all

 

#heart (fire) restraining #lung (metal)

   edit   unpin & show all

 

#lung (metal) restraining #liver (wood)

   edit   unpin & show all

 

the source of this material is the study by Dr. Weidong Pan — The Brief Theory of Viscus and Its Manifestations in Traditional Chinese Medicine https://www.karger.com/Article/FullText/455853

   edit   unpin & show all

 

the source of this material is the study by Liao W. · Dang C. · Pan W. (2017) — The Brief Theory of Viscus and Its Manifestations in Traditional Chinese Medicine https://www.karger.com/Article/FullText/455853

   edit   unpin & show all

 
tags:
     
    total nodes:  extend
    merged nodes:
    unmerge all
    copy to global
    Word Count Unique Lemmas Characters Lemmas Density
    0
    0
    0
    0

        
    Show Nodes with Degree > 0:

    0 0

    Filter Graphs:


    Filter Time Range
    from: 0
    to: 0


    Recalculate Metrics   Reset Filters
          
    Hide Labels for Nodes < 0:

    0 0

    Default Label Size: 0

    0 20



    Edges Type:



    Layout Type:


     

    Reset to Default
    network diversity:
    ×
    ×
    Network Structure Insights
      ?
    diversity:
    N/A
      stucture:
    N/A
    The higher is the diversity, the more distinct communities (topics) there are in this network, the more likely it will be pluralist.
    The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.

    Modularity
    0
    Influence Distribution
    0
    %
    Topics Nodes in Top Topic Components Nodes in Top Comp
    0
    0
    %
    0
    0
    %
    Nodes Av Degree Density Weighed Betweenness
    0
    0
    0
    0
     

    Degree Distribution:
      ?   switch to linear
    distribution (based on kolmogorov-smirnov test) ?
    narrative fractality: | alpha exponent: (based on Detrended Fluctuation Analysis of influence) ?
    Using this information, you can identify whether the network has scale-free / small-world (long-tail power law distribution) or random (normal, bell-shaped distribution) network properties.

    This may be important for understanding the level of resilience and the dynamics of propagation in this network. E.g. scale-free networks with long degree tails are more resilient against random attacks and will propagate information across the whole structure better.
    If a power-law is identified, the nodes have preferential attachment (e.g. 20% of nodes tend to get 80% of connections), and the network may be scale-free, which may indicate that it's more resilient and adaptive. Absence of power law may indicate a more equalized distribution of influence.

    Kolmogorov-Smirnov test compares the distribution above to the "ideal" power-law ones (^1, ^1.5, ^2) and looks for the best fit. If the value d is below the critical value cr it is a sign that the both distributions are similar.
    We plot the narrative as a time series of influence (using the words' betweenness score). We then apply detrended fluctuation analysis to identify the fractality of this time series (using alpha exponent, closely related to Hurst exponent): uniform (pulsating | alpha <= 0.65), regular (stationary, has long-term correlations | 0.65 < alpha <= 0.85), fractal (adaptive | 0.85 < alpha < 1.15), and complex (non-stationary | alpha >= 1.15).

    For maximal diversity and plurality, the narrative should be close to "fractal". For poetry — "complex". For ideological texts — "uniform".
    ×
             
    Main Topical Groups:

    N/A
    +     full stats   ?

    The topics are the nodes (words) that tend to co-occur together in the same context (next to each other).

    We use a combination of clustering and graph community detection algorithm (Blondel et al based on Louvain) to identify the groups of nodes are more densely connected together than with the rest of the network. They are aligned closer to each other on the graph and are given a distinct color.
    Most Influential Elements:
    N/A
    +     Reveal Non-obvious   ?

    We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.

    Click the Reveal Non-obvious button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.

    The most influential nodes are either the ones with the highest betweenness centrality — appearing most often on the shortest path between any two randomly chosen nodes (i.e. linking the different distinct communities) — or the ones with the highest degree.
    Network Structure:
    N/A



    Reset Graph   Export: Show Options
    Action Advice:
    N/A
    Structural Gap
    (ask a research question that would link these two topics):
    N/A
    Reveal the Gap   ?
     
    A structural gap shows the two distinct communities (clusters of words) in this graph that are important, but not yet connected. That's where the new potential and innovative ideas may reside.

    This measure is based on a combination of the graph's connectivity and community structure, selecting the groups of nodes that would either make the graph more connected if it's too dispersed or that would help maintain diversity if it's too connected.

    Latent Topical Brokers
    :
    N/A
    ?

    These are the latent brokers between the topics: the nodes that have an unusually high rate of influence (betweenness centrality) to their freqency — meaning they may appear not as often as the most influential nodes but they are important narrative shifting points.

    These are usually brokers between different clusters / communities of nodes, playing not easily noticed and yet important role in this network, like the "grey cardinals" of sorts.

    Emerging Keywords
    N/A

    Evolution of Topics
    (frequency over time)

     
    Main Topics
    (according to Latent Dirichlet Allocation):
    loading...

    Most Influential Words
    (main topics and words according to LDA):
    loading...

    LDA works only for English-language texts at the moment. More support is coming soon, subscribe @noduslabs to be informed.

    Network Statistics:
    Show Overlapping Nodes Only

    ⤓ Download as CSV  ⤓ Download an Excel File

    Top Relations / Bigrams
    (both directions):

    ⤓ Download   ⤓ Directed Bigrams CSV   ?

    The most prominent relations between the nodes that exist in this graph are shown above. We treat the graph as undirected by default as it allows us to better detect general patterns.

    As an option, you can also downloaded directed bigrams above, in case the direction of the relations is important (for any application other than language).
    Please, enter a search query to visualize the difference between what people search for (related queries) and what they actually find (search results):

     
    We will build two graphs:
    1) Google search results for your query;
    2) Related searches for your query (Google's SERP);
    Click the Missing Content tab to see the graph that shows the difference between what people search for and what they actually find, indicating the content you could create to fulfil this gap.
    Find a market niche for a certain product, category, idea or service: what people are looking for but cannot yet find*

     
    We will build two graphs:
    1) the content that already exists when you make this search query (informational supply);
    2) what else people are searching for when they make this query (informational demand);
    You can then click the Niche tab to see the difference between the supply and the demand — what people need but do not yet find — the opportunity gap to fulfil.
    Please, enter your query to visualize the search results as a graph, so you can learn more about this topic:

     
       advanced settings    add data manually
    Enter a search query to analyze the Twitter discourse around this topic (last 7 days):

         advanced settings    add data manually

    Sign Up